diff --git a/README.md b/README.md
index 1344513d..33f02774 100644
--- a/README.md
+++ b/README.md
@@ -71,7 +71,7 @@ import pandas as pd
 from cvx.covariance.combination import from_ewmas
 
 # Load return data
-returns = pd.read_csv("data/ff5.csv", index_col=0, header=0, parse_dates=True).iloc[:1000]
+returns = pd.read_csv("data/ff5_no_rf.csv", index_col=0, header=0, parse_dates=True).iloc[:1000]
 n = returns.shape[1]
 
 # Define half-life pairs for K=3 experts, (halflife_vola, halflife_cov)
@@ -107,7 +107,7 @@ import pandas as pd
 from cvx.covariance.combination import from_sigmas
 
 # Load return data
-returns = pd.read_csv("data/ff5.csv", index_col=0,
+returns = pd.read_csv("data/ff5_no_rf.csv", index_col=0,
                       header=0, parse_dates=True).iloc[:1000]
 n = returns.shape[1]
 
diff --git a/cvx/covariance/combination.py b/cvx/covariance/combination.py
index bc04b781..c3991f40 100644
--- a/cvx/covariance/combination.py
+++ b/cvx/covariance/combination.py
@@ -218,15 +218,16 @@ def assets(self):
         """
         return self.returns.columns
 
-    def solve(self, window=None, **kwargs):
+    def solve(self, window=None, times=None, **kwargs):
         """
         The size of the window is crucial to specify the size of the parameters
         for the cvxpy problem. Hence those computations are not in the __init__ method
 
-        Solves the covariance combination problem at a given time, i.e.,
-        finds the prediction for the covariance matrix at 'time+1'
+        Solves the covariance combination problem at a time steps given in times
 
-        param window: number of previous time steps to use in the covariance combination
+        param window: number of previous time steps to use in the covariance
+        combination problem
+        param times: list of time steps to solve the problem at; if None, solve at all available time steps
         """
         # If window is None, use all available data; cap window at length of data
         window = window or len(self.__Ls_shifted)
@@ -240,9 +241,29 @@ def solve(self, window=None, **kwargs):
             }
         )
 
-        Bs = {time: np.column_stack(Lts_at_r.loc[time]) for time in Lts_at_r.index}
+        # time steps to solve the problem at
+        all_available_times = Lts_at_r.index
+
+        if times is None:
+            times = Lts_at_r.index
+        else:
+            times = list(times)
+
+            # assert times are consecutive in all_available_times
+            zero_index = all_available_times.get_loc(times[0])
+            assert list(
+                all_available_times[zero_index : zero_index + len(times)]
+            ) == list(times)
+            "times must be consecutive"
+
+            # add window - 1 previous time steps to times
+            times = (
+                list(all_available_times[zero_index - window + 1 : zero_index]) + times
+            )
+
+        Bs = {time: np.column_stack(Lts_at_r.loc[time]) for time in times}
         prod_Bs = pd.Series({time: B.T @ B for time, B in Bs.items()})
-        times = prod_Bs.index
+        # times = prod_Bs.index
         P = {
             times[i]: sum(prod_Bs.loc[times[i - window + 1] : times[i]])
             for i in range(window - 1, len(times))
@@ -282,9 +303,6 @@ def _solve(self, time, problem, **kwargs):
         """
         problem.solve(**kwargs)
 
-        # if problem.status != "optimal":
-        #     raise cvx.SolverError
-
         weights = problem.weights
 
         # Get non-shifted L
diff --git a/cvx/covariance/ewma.py b/cvx/covariance/ewma.py
index 6adb46c0..b0aee5dc 100644
--- a/cvx/covariance/ewma.py
+++ b/cvx/covariance/ewma.py
@@ -64,7 +64,11 @@ def center(returns, halflife, min_periods=0, mean_adj=False):
     """
     if mean_adj:
         mean = _generator2frame(
-            _ewma_mean(data=returns, halflife=halflife, min_periods=min_periods)
+            _ewma_mean(
+                data=returns,
+                halflife=halflife,
+                min_periods=min_periods,
+            )
         )
         return (returns - mean).dropna(how="all", axis=0), mean
     else:
@@ -94,7 +98,25 @@ def iterated_ewma(
     mu_halflife1=None,
     mu_halflife2=None,
     clip_at=None,
+    nan_to_num=True,
 ):
+    """
+    param returns: pandas dataframe with returns for each asset
+    param vola_halflife: half life for volatility
+    param cov_halflife: half life for covariance
+    param min_preiods_vola: minimum number of periods to use for volatility
+    ewma estimate
+    param min_periods_cov: minimum number of periods to use for covariance
+    ewma estimate
+    param mean: whether to estimate mean; if False, assumes zero mean data
+    param mu_halflife1: half life for the first mean adjustment; if None, it is
+    set to vola_halflife; only applies if mean=True
+    param mu_halflife2: half life for the second mean adjustment; if None, it is
+    set to cov_halflife; only applies if mean=True
+    param clip_at: winsorizes ewma update at +-clip_at*(current ewma) in ewma;
+    if None, no winsorization is performed
+    nan_to_num: if True, replace NaNs in returns with 0.0
+    """
     mu_halflife1 = mu_halflife1 or vola_halflife
     mu_halflife2 = mu_halflife2 or cov_halflife
 
@@ -104,7 +126,13 @@ def scale_cov(vola, matrix):
         matrix = matrix.values
 
         # Convert (covariance) matrix to correlation matrix
-        v = 1 / np.sqrt(np.diagonal(matrix)).reshape(-1, 1)
+        # v = 1 / np.sqrt(np.diagonal(matrix)).reshape(-1, 1)
+        diag = np.diagonal(matrix).copy()
+        one_inds = np.where(diag == 0)[0]
+        if one_inds.size > 0:
+            diag[one_inds] = 1  # temporarily, to avoid division by zero
+        v = 1 / np.sqrt(diag).reshape(-1, 1)
+        v[one_inds] = np.nan
         matrix = v * matrix * v.T
 
         cov = vola.reshape(-1, 1) * matrix * vola.reshape(1, -1)
@@ -114,14 +142,18 @@ def scale_cov(vola, matrix):
     def scale_mean(vola, vec1, vec2):
         return vec1 + vola * vec2
 
+    if nan_to_num:
+        if returns.isna().any().any():
+            returns = returns.fillna(0.0)
+
     # compute the moving mean of the returns
 
-    # TODO: Check if this is correct half life
     returns, returns_mean = center(
         returns=returns, halflife=mu_halflife1, min_periods=0, mean_adj=mean
     )
 
-    # estimate the volatility, clip some returns before they enter the estimation
+    # estimate the volatility, clip some returns before they enter the
+    # estimation
     vola = volatility(
         returns=returns,
         halflife=vola_halflife,
@@ -130,27 +162,26 @@ def scale_mean(vola, vec1, vec2):
     )
 
     # adj the returns
-    adj = clip((returns / vola), clip_at=clip_at)
-
-    # center the adj returns again? Yes, I think so
-    # TODO: Check if this is correct half life
+    # make sure adj is NaN where vola is zero or returns are
+    # NaN. This handles NaNs (which in some sense is the same as a constant
+    # return series, i.e., vola = 0)
+    adj = clip((returns / vola), clip_at=clip_at)  # if vola is zero, adj is NaN
+    adj = adj.fillna(0.0)
 
+    # center the adj returns again
     adj, adj_mean = center(adj, halflife=mu_halflife2, min_periods=0, mean_adj=mean)
-    # if mean:
-    #     print(adj)
-    #     print(adj_mean)
-    #     assert False
-
-    m = pd.Series(np.zeros_like(returns.shape[1]), index=returns.columns)
 
     for t, matrix in _ewma_cov(
-        data=adj, halflife=cov_halflife, min_periods=min_periods_cov
+        data=adj,
+        halflife=cov_halflife,
+        min_periods=min_periods_cov,
     ):
         if mean:
             m = scale_mean(
                 vola=vola.loc[t].values, vec1=returns_mean.loc[t], vec2=adj_mean.loc[t]
             )
-
+        else:
+            m = pd.Series(np.zeros_like(returns.shape[1]), index=returns.columns)
         yield IEWMA(
             time=t,
             mean=m,
@@ -164,6 +195,7 @@ def _ewma_cov(data, halflife, min_periods=0):
     param data: Txn pandas DataFrame of returns
     param halflife: float, halflife of the EWMA
     """
+
     for t, ewma in _general(
         data.values,
         times=data.index,
@@ -191,8 +223,6 @@ def _ewma_mean(data, halflife, min_periods=0, clip_at=None):
 def _general(
     y,
     times,
-    # com: Union[float, None] = None,
-    # span: Union[float, None] = None,
     halflife: float | TimedeltaConvertibleTypes | None = None,
     alpha: float | None = None,
     fct=lambda x: x,
@@ -202,12 +232,12 @@ def _general(
     """
     y: frame with measurements for times t=t_1,t_2,...,T
     halflife: EWMA half life
+    alpha: EWMA alpha
+    fct: function to apply to y
+    min_periods: minimum number of observations to start EWMA
+    clip_at: clip y_last at  +- clip_at*EWMA (optional)
 
-    returns: list of EWMAs for times t=t_1,t_2,...,T
-    serving as predictions for the following timestamp
-
-    The function returns a generator over
-    t_i, EWMA of fct(y_i)
+    returns: a generator over (t_i, EWMA of fct(y_i))
     """
 
     def f(k):
@@ -216,12 +246,6 @@ def f(k):
 
         return times[k], _ewma
 
-    # if com:
-    #    alpha = 1 / (1 + com)
-
-    # if span:
-    #    alpha = 2 / (span + 1)
-
     if halflife:
         alpha = 1 - np.exp(-np.log(2) / halflife)
 
@@ -233,13 +257,17 @@ def f(k):
 
     # iterate through all the remaining rows of y. Start in the 2nd row
     for n, row in enumerate(y[1:], start=1):
+        # replace NaNs in row with non-NaN values from _ewma and vice versa
+
+        next_val = fct(row)
+
         # update the moving average
         if clip_at and n >= min_periods + 1:
             _ewma = _ewma + (1 - beta) * (
-                np.clip(fct(row), -clip_at * _ewma, clip_at * _ewma) - _ewma
+                np.clip(next_val, -clip_at * _ewma, clip_at * _ewma) - _ewma
             ) / (1 - np.power(beta, n + 1))
         else:
-            _ewma = _ewma + (1 - beta) * (fct(row) - _ewma) / (
+            _ewma = _ewma + (1 - beta) * (next_val - _ewma) / (
                 1 - np.power(beta, n + 1)
             )
 
diff --git a/experiments/extensions/playground.ipynb b/experiments/extensions/playground.ipynb
index 8263212f..10e29d7b 100644
--- a/experiments/extensions/playground.ipynb
+++ b/experiments/extensions/playground.ipynb
@@ -12,7 +12,7 @@
     "import matplotlib.pyplot as plt\n",
     "import seaborn as sns\n",
     "\n",
-    "from cvx.covariance.ewma import iterated_ewma, _ewma_mean\n",
+    "from cvx.covariance.ewma import iterated_ewma, _ewma_mean, _ewma_cov\n",
     "from cvx.covariance.combination import from_sigmas\n",
     "from cvx.covariance.regularization import regularize_covariance, em_regularize_covariance\n",
     "from experiments.utils.experiment_utils import *\n",
@@ -27,613 +27,1733 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 319,
+   "execution_count": 44,
    "metadata": {},
    "outputs": [],
    "source": [
-    "returns = pd.read_csv(\"../data/returns_large_universe.csv\", index_col=0, parse_dates=True)\n",
-    "\n",
-    "# Risk-free rate\n",
-    "FF = pd.read_csv('../data/ff5.csv', index_col=0, parse_dates=True)\n",
-    "rf_rate = pd.DataFrame(FF.loc[:,\"RF\"])\n",
-    "rf_rate.index = pd.to_datetime(rf_rate.index, format='%Y%m%d')"
+    "returns = pd.read_csv(\n",
+    "    \"../data/49_industries.csv\", index_col=0, header=0, parse_dates=True\n",
+    ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 331,
+   "execution_count": 40,
    "metadata": {},
    "outputs": [],
    "source": [
-    "def ecdf(series):\n",
-    "    n = np.arange(1,len(series)+1) / len(series)\n",
-    "    Xs = np.sort(series)\n",
-    "    plt.step(Xs,n) \n",
-    "    return Xs\n",
-    "\n",
-    "def ecdf_trailing(data, quantiles=[0.2, 0.4, 0.5, 0.6, 0.8]):\n",
-    "    series = data.values.copy()\n",
-    "\n",
-    "\n",
-    "    series.sort(axis=1)\n",
-    "    # get quantiles\n",
-    "\n",
-    "    quant = np.quantile(series, quantiles, axis=1)\n",
-    "    quant = quant - quant[2]\n",
+    "iewma_pair = (63, 125)\n",
+    "iewma = list(\n",
+    "    iterated_ewma(\n",
+    "        returns,\n",
+    "        vola_halflife=iewma_pair[0],\n",
+    "        cov_halflife=iewma_pair[1],\n",
+    "        min_periods_vola=0,\n",
+    "        min_periods_cov=0,\n",
+    "        nan_to_num=True,\n",
+    "    )\n",
+    ")\n",
+    "iewma = {iterate.time: iterate.covariance for iterate in iewma}\n",
     "\n",
-    "    return ecdf(series.mean(axis=0)), quant"
+    "covariance = iewma[returns.index[-1]]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 278,
+   "execution_count": 52,
    "metadata": {},
    "outputs": [],
    "source": [
-    "data = returns.iloc[i:i+freq]\n",
-    "series = data.values.copy()\n",
-    "\n",
-    "\n",
-    "series.sort(axis=1)"
+    "iewma_pair = (63, 125)\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 281,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "quantiles = np.quantile(series, [0.2, 0.5, 0.8], axis=1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 273,
+   "execution_count": 156,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "(125, 238)"
-      ]
-     },
-     "execution_count": 273,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/mr/mp0qg4bx6sj56pg6fs3s65kc0000gr/T/ipykernel_18032/43179705.py:7: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  returns_nans.iloc[:5000][mask] = np.nan\n",
+      "/var/folders/mr/mp0qg4bx6sj56pg6fs3s65kc0000gr/T/ipykernel_18032/43179705.py:7: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  returns_nans.iloc[:5000][mask] = np.nan\n"
+     ]
     }
    ],
    "source": [
-    "series.shape"
+    "# 10 percent random nans\n",
+    "\n",
+    "np.random.seed(0)\n",
+    "mask = np.random.choice([True, False], size=returns.iloc[:5000].shape, p=[0.1, 0.9])\n",
+    "\n",
+    "returns_nans = returns.copy()\n",
+    "returns_nans.iloc[:5000][mask] = np.nan"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 277,
+   "execution_count": 53,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([[-0.0027492],\n",
-       "       [ 0.003609 ],\n",
-       "       [ 0.0105656]])"
-      ]
-     },
-     "execution_count": 277,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "quantiles"
+    "times = returns_nans.index"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 274,
+   "execution_count": 75,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([[-1.102652e-01, -7.898240e-02, -6.825400e-02, -6.079860e-02,\n",
-       "        -5.769520e-02, -5.267700e-02, -5.093740e-02, -4.814020e-02,\n",
-       "        -4.636760e-02, -4.551440e-02, -4.479020e-02, -4.301500e-02,\n",
-       "        -4.160840e-02, -4.126480e-02, -3.912820e-02, -3.830940e-02,\n",
-       "        -3.715880e-02, -3.643560e-02, -3.585460e-02, -3.550360e-02,\n",
-       "        -3.457580e-02, -3.433420e-02, -3.425820e-02, -3.368360e-02,\n",
-       "        -3.299240e-02, -3.251240e-02, -3.214500e-02, -3.117540e-02,\n",
-       "        -3.075740e-02, -3.041000e-02, -2.949560e-02, -2.890700e-02,\n",
-       "        -2.862640e-02, -2.822900e-02, -2.745320e-02, -2.726940e-02,\n",
-       "        -2.699020e-02, -2.632300e-02, -2.586870e-02, -2.554160e-02,\n",
-       "        -2.543580e-02, -2.536560e-02, -2.519480e-02, -2.500040e-02,\n",
-       "        -2.441860e-02, -2.422980e-02, -2.401200e-02, -2.370000e-02,\n",
-       "        -2.347440e-02, -2.326580e-02, -2.308080e-02, -2.272120e-02,\n",
-       "        -2.260320e-02, -2.204040e-02, -2.198460e-02, -2.187840e-02,\n",
-       "        -2.179640e-02, -2.139060e-02, -2.112540e-02, -2.066720e-02,\n",
-       "        -2.035100e-02, -2.007800e-02, -1.980900e-02, -1.975060e-02,\n",
-       "        -1.944160e-02, -1.916520e-02, -1.905360e-02, -1.893180e-02,\n",
-       "        -1.890600e-02, -1.882540e-02, -1.867500e-02, -1.824380e-02,\n",
-       "        -1.801600e-02, -1.775400e-02, -1.729600e-02, -1.715860e-02,\n",
-       "        -1.691960e-02, -1.675740e-02, -1.661480e-02, -1.652380e-02,\n",
-       "        -1.646560e-02, -1.633840e-02, -1.622420e-02, -1.591480e-02,\n",
-       "        -1.588700e-02, -1.578840e-02, -1.548660e-02, -1.516400e-02,\n",
-       "        -1.503760e-02, -1.478180e-02, -1.447880e-02, -1.429900e-02,\n",
-       "        -1.412280e-02, -1.408680e-02, -1.393240e-02, -1.381700e-02,\n",
-       "        -1.363400e-02, -1.352860e-02, -1.305520e-02, -1.291080e-02,\n",
-       "        -1.265660e-02, -1.247060e-02, -1.221660e-02, -1.209380e-02,\n",
-       "        -1.191620e-02, -1.176380e-02, -1.175660e-02, -1.150560e-02,\n",
-       "        -1.136180e-02, -1.126500e-02, -1.113700e-02, -1.096360e-02,\n",
-       "        -1.077880e-02, -1.065540e-02, -1.059180e-02, -1.056260e-02,\n",
-       "        -1.045600e-02, -1.016460e-02, -1.000480e-02, -9.874800e-03,\n",
-       "        -9.779400e-03, -9.543800e-03, -9.330200e-03, -9.257600e-03,\n",
-       "        -9.073000e-03, -8.970600e-03, -8.891000e-03, -8.658400e-03,\n",
-       "        -8.592400e-03, -8.543200e-03, -8.468600e-03, -8.400600e-03,\n",
-       "        -8.232800e-03, -7.984000e-03, -7.832800e-03, -7.774200e-03,\n",
-       "        -7.747800e-03, -7.654400e-03, -7.598600e-03, -7.575200e-03,\n",
-       "        -7.431400e-03, -6.894400e-03, -6.873800e-03, -6.648600e-03,\n",
-       "        -6.436600e-03, -6.359200e-03, -6.288800e-03, -6.152400e-03,\n",
-       "        -6.123200e-03, -6.072200e-03, -5.887000e-03, -5.709800e-03,\n",
-       "        -5.583200e-03, -5.534000e-03, -5.090000e-03, -4.963000e-03,\n",
-       "        -4.875000e-03, -4.717600e-03, -4.543800e-03, -4.089800e-03,\n",
-       "        -3.892000e-03, -3.842600e-03, -3.679000e-03, -3.524400e-03,\n",
-       "        -3.315400e-03, -3.289200e-03, -3.264200e-03, -3.011600e-03,\n",
-       "        -2.888600e-03, -2.768600e-03, -2.646000e-03, -2.424000e-03,\n",
-       "        -2.324400e-03, -2.269000e-03, -2.002600e-03, -1.773600e-03,\n",
-       "        -1.630800e-03, -1.461600e-03, -1.111200e-03, -1.034200e-03,\n",
-       "        -9.534000e-04, -7.744000e-04, -7.562000e-04, -6.990000e-04,\n",
-       "        -3.386000e-04, -1.442000e-04, -2.720000e-05,  1.008000e-04,\n",
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-       "         1.331220e-02,  1.335020e-02,  1.353800e-02,  1.356480e-02,\n",
-       "         1.365540e-02,  1.380240e-02,  1.389300e-02,  1.407180e-02,\n",
-       "         1.416280e-02,  1.420080e-02,  1.429340e-02,  1.436340e-02,\n",
-       "         1.439280e-02,  1.474820e-02,  1.488400e-02,  1.492820e-02,\n",
-       "         1.499100e-02,  1.521320e-02,  1.534520e-02,  1.556920e-02,\n",
-       "         1.559080e-02,  1.564380e-02,  1.609060e-02,  1.617440e-02,\n",
-       "         1.633100e-02,  1.648840e-02,  1.659600e-02,  1.677240e-02,\n",
-       "         1.690700e-02,  1.710140e-02,  1.730580e-02,  1.748840e-02,\n",
-       "         1.788780e-02,  1.812360e-02,  1.832160e-02,  1.852180e-02,\n",
-       "         1.883780e-02,  1.947580e-02,  1.995040e-02,  2.003820e-02,\n",
-       "         2.004360e-02,  2.026360e-02,  2.049600e-02,  2.066840e-02,\n",
-       "         2.087100e-02,  2.118220e-02,  2.148000e-02,  2.175200e-02,\n",
-       "         2.206460e-02,  2.213880e-02,  2.232480e-02,  2.276160e-02,\n",
-       "         2.312620e-02,  2.336500e-02,  2.367540e-02,  2.420320e-02,\n",
-       "         2.469140e-02,  2.483980e-02,  2.503400e-02,  2.543460e-02,\n",
-       "         2.561600e-02,  2.615320e-02,  2.641420e-02,  2.697900e-02,\n",
-       "         2.711540e-02,  2.723780e-02,  2.793460e-02,  2.882100e-02,\n",
-       "         2.926120e-02,  2.977880e-02,  3.043020e-02,  3.112560e-02,\n",
-       "         3.183780e-02,  3.245500e-02,  3.295680e-02,  3.543880e-02,\n",
-       "         3.584760e-02,  3.654380e-02,  3.769700e-02,  3.883840e-02,\n",
-       "         3.931000e-02,  4.032120e-02,  4.129940e-02,  4.379600e-02,\n",
-       "         4.482420e-02,  4.549180e-02,  4.675280e-02,  5.024200e-02,\n",
-       "         5.308220e-02,  5.760860e-02,  5.972100e-02,  6.613040e-02,\n",
-       "         8.093120e-02,  1.225128e-01]])"
-      ]
-     },
-     "execution_count": 274,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "np.quantile(series, [0.2, 0.5, 0.8], axis=1)"
+    "iewma = list(\n",
+    "    iterated_ewma(\n",
+    "        returns,\n",
+    "        vola_halflife=iewma_pair[0],\n",
+    "        cov_halflife=iewma_pair[1],\n",
+    "        min_periods_vola=0,\n",
+    "        min_periods_cov=0,\n",
+    "        nan_to_num=True,\n",
+    "    )\n",
+    ")\n",
+    "iewma = {iterate.time: iterate.covariance for iterate in iewma}\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 289,
+   "execution_count": 168,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "array([[-0.0027492],\n",
-       "       [ 0.003609 ],\n",
-       "       [ 0.0105656]])"
-      ]
-     },
-     "execution_count": 289,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/kasper/Documents/Stanford/Research/My papers/w_it_ewma/publicRepo/cov_pred_finance/cvx/covariance/ewma.py:132: RuntimeWarning: divide by zero encountered in divide\n",
+      "  \n",
+      "/Users/kasper/Documents/Stanford/Research/My papers/w_it_ewma/publicRepo/cov_pred_finance/cvx/covariance/ewma.py:133: RuntimeWarning: invalid value encountered in multiply\n",
+      "  # wherever vola is not zero: adj = clip((returns / vola), clip_at=clip_at)\n"
+     ]
     }
    ],
    "source": [
-    "quantiles"
+    "iewma_nans = list(\n",
+    "    iterated_ewma(\n",
+    "        returns_nans,\n",
+    "        vola_halflife=iewma_pair[0],\n",
+    "        cov_halflife=iewma_pair[1],\n",
+    "        min_periods_vola=0,\n",
+    "        min_periods_cov=0,\n",
+    "        nan_to_num=True,\n",
+    "        mean=True,\n",
+    "    )\n",
+    ")\n",
+    "iewma_nans = {iterate.time: iterate.covariance for iterate in iewma_nans}\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 337,
+   "execution_count": 162,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7fb7f705e0a0>"
+       "5"
       ]
      },
-     "execution_count": 337,
+     "execution_count": 162,
      "metadata": {},
      "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
     }
    ],
    "source": [
-    "plt.plot(quantiles.T, label=[0.2,0.4, 0.5, 0.6,0.8]);\n",
-    "# put legend outside of the plot\\\n",
-    "plt.legend(bbox_to_anchor=(1.05, 1), loc='upper left', borderaxespad=0.)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 340,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "p=1\n",
-    "d=365\n",
-    "q = p**3+(-6+18*d**2*np.log(2)) / 6\n",
-    "r=2/3"
+    "iewma_nans[times[0]].isna().all().sum()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 342,
+   "execution_count": 164,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "83.13764937570768"
+       "Agric    False\n",
+       "Food     False\n",
+       "Soda     False\n",
+       "Beer     False\n",
+       "Smoke    False\n",
+       "Toys     False\n",
+       "Fun      False\n",
+       "Books    False\n",
+       "Hshld    False\n",
+       "Clths    False\n",
+       "Hlth     False\n",
+       "MedEq    False\n",
+       "Drugs    False\n",
+       "Chems    False\n",
+       "Rubbr     True\n",
+       "Txtls     True\n",
+       "BldMt     True\n",
+       "Cnstr    False\n",
+       "Steel    False\n",
+       "FabPr    False\n",
+       "Mach     False\n",
+       "ElcEq    False\n",
+       "Autos    False\n",
+       "Aero     False\n",
+       "Ships    False\n",
+       "Guns     False\n",
+       "Gold     False\n",
+       "Mines    False\n",
+       "Coal     False\n",
+       "Oil      False\n",
+       "Util     False\n",
+       "Telcm    False\n",
+       "PerSv    False\n",
+       "BusSv    False\n",
+       "Hardw     True\n",
+       "Softw    False\n",
+       "Chips    False\n",
+       "LabEq    False\n",
+       "Paper    False\n",
+       "Boxes    False\n",
+       "Trans    False\n",
+       "Whlsl    False\n",
+       "Rtail    False\n",
+       "Meals     True\n",
+       "Banks    False\n",
+       "Insur    False\n",
+       "RlEst    False\n",
+       "Fin      False\n",
+       "Other    False\n",
+       "Name: 1969-07-01 00:00:00, dtype: bool"
       ]
      },
-     "execution_count": 342,
+     "execution_count": 164,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "(q+(q**2+(r-p**2)**3)**(1/2))**(1/3) + (q-(q**2+(r-p**2)**3)**(1/2))**(1/3) + p"
+    "returns_nans.iloc[0].isna()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 339,
+   "execution_count": 161,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7fb784850cd0>"
+       "24636"
       ]
      },
-     "execution_count": 339,
+     "execution_count": 161,
      "metadata": {},
      "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.plot(pd.DataFrame(quantiles.T).rolling(10).mean(), label=[0.2,0.4, 0.5, 0.6,0.8]);\n",
-    "plt.legend(bbox_to_anchor=(1.05, 1), loc='upper left', borderaxespad=0.)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 321,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
     }
    ],
    "source": [
-    "plt.plot(quantiles.T, label=[0.2,0.4,0.6,0.8]);\n",
-    "plt.legend();"
+    "returns_nans.isna().sum().sum()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 323,
+   "execution_count": 155,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
+       "0"
       ]
      },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.plot(pd.DataFrame(quantiles.T).rolling(10).mean(), label=[0.2,0.4,0.6,0.8]);\n",
-    "plt.legend();"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 335,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(5, 1000)"
-      ]
-     },
-     "execution_count": 335,
+     "execution_count": 155,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "quantiles.shape"
+    "returns_nans.isna().sum().sum() "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 332,
+   "execution_count": 121,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "Text(0.5, 1.0, 'CDFs for five consequent 125-day periods')"
+       "2.9348986264781627e-05"
       ]
      },
-     "execution_count": 332,
+     "execution_count": 121,
      "metadata": {},
      "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
     }
    ],
    "source": [
-    "# do ecdf_trailing() on every tenth row\n",
-    "plt.figure()\n",
-    "freq = 1\n",
-    "for i in range(0, 5*freq, freq):\n",
-    "    _, quantiles = ecdf_trailing(returns.iloc[i:i+freq])\n",
-    "plt.title(\"CDFs for five consequent days\")\n",
-    "\n",
-    "plt.figure()\n",
-    "freq = 10\n",
-    "for i in range(0, 5*freq, freq):\n",
-    "    _, quantiles = ecdf_trailing(returns.iloc[i:i+freq])\n",
-    "plt.title(\"CDFs for five consequent 10-day periods\")\n",
-    "\n",
-    "plt.figure()\n",
-    "freq = 63\n",
-    "for i in range(0, 5*freq, freq):\n",
-    "    _, quantiles = ecdf_trailing(returns.iloc[i:i+freq])\n",
-    "plt.title(\"CDFs for five consequent 63-day periods\")\n",
-    "\n",
-    "plt.figure()\n",
-    "freq = 125\n",
-    "for i in range(0, 5*freq, freq):\n",
-    "    _, quantiles = ecdf_trailing(returns.iloc[i:i+freq])\n",
-    "plt.title(\"CDFs for five consequent 125-day periods\")\n",
-    "\n",
-    "plt.figure()\n",
-    "freq = 1000\n",
-    "for i in range(0, 5*freq, freq):\n",
-    "    _, quantiles = ecdf_trailing(returns.iloc[i:i+freq])\n",
-    "plt.title(\"CDFs for five consequent 125-day periods\")"
+    "(iewma_nans[times[6000]]-iewma[times[6000]]).abs().sum().sum()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 176,
+   "execution_count": 107,
    "metadata": {},
    "outputs": [
     {
      "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Agric</th>\n",
+       "      <th>Food</th>\n",
+       "      <th>Soda</th>\n",
+       "      <th>Beer</th>\n",
+       "      <th>Smoke</th>\n",
+       "      <th>Toys</th>\n",
+       "      <th>Fun</th>\n",
+       "      <th>Books</th>\n",
+       "      <th>Hshld</th>\n",
+       "      <th>Clths</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Boxes</th>\n",
+       "      <th>Trans</th>\n",
+       "      <th>Whlsl</th>\n",
+       "      <th>Rtail</th>\n",
+       "      <th>Meals</th>\n",
+       "      <th>Banks</th>\n",
+       "      <th>Insur</th>\n",
+       "      <th>RlEst</th>\n",
+       "      <th>Fin</th>\n",
+       "      <th>Other</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Agric</th>\n",
+       "      <td>0.000029</td>\n",
+       "      <td>0.000030</td>\n",
+       "      <td>-1.026000e-05</td>\n",
+       "      <td>0.000023</td>\n",
+       "      <td>0.000045</td>\n",
+       "      <td>0.000049</td>\n",
+       "      <td>0.000062</td>\n",
+       "      <td>-2.160000e-06</td>\n",
+       "      <td>0.000037</td>\n",
+       "      <td>0.000021</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.566000e-05</td>\n",
+       "      <td>0.000044</td>\n",
+       "      <td>0.000021</td>\n",
+       "      <td>0.000024</td>\n",
+       "      <td>0.000091</td>\n",
+       "      <td>1.188000e-05</td>\n",
+       "      <td>1.620000e-05</td>\n",
+       "      <td>0.000077</td>\n",
+       "      <td>1.620000e-06</td>\n",
+       "      <td>0.000199</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Food</th>\n",
+       "      <td>0.000030</td>\n",
+       "      <td>0.000030</td>\n",
+       "      <td>-1.045000e-05</td>\n",
+       "      <td>0.000024</td>\n",
+       "      <td>0.000046</td>\n",
+       "      <td>0.000049</td>\n",
+       "      <td>0.000063</td>\n",
+       "      <td>-2.200000e-06</td>\n",
+       "      <td>0.000038</td>\n",
+       "      <td>0.000021</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.595000e-05</td>\n",
+       "      <td>0.000045</td>\n",
+       "      <td>0.000021</td>\n",
+       "      <td>0.000024</td>\n",
+       "      <td>0.000093</td>\n",
+       "      <td>1.210000e-05</td>\n",
+       "      <td>1.650000e-05</td>\n",
+       "      <td>0.000079</td>\n",
+       "      <td>1.650000e-06</td>\n",
+       "      <td>0.000203</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Soda</th>\n",
+       "      <td>-0.000010</td>\n",
+       "      <td>-0.000010</td>\n",
+       "      <td>3.610000e-06</td>\n",
+       "      <td>-0.000008</td>\n",
+       "      <td>-0.000016</td>\n",
+       "      <td>-0.000017</td>\n",
+       "      <td>-0.000022</td>\n",
+       "      <td>7.600000e-07</td>\n",
+       "      <td>-0.000013</td>\n",
+       "      <td>-0.000007</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-5.510000e-06</td>\n",
+       "      <td>-0.000015</td>\n",
+       "      <td>-0.000007</td>\n",
+       "      <td>-0.000008</td>\n",
+       "      <td>-0.000032</td>\n",
+       "      <td>-4.180000e-06</td>\n",
+       "      <td>-5.700000e-06</td>\n",
+       "      <td>-0.000027</td>\n",
+       "      <td>-5.700000e-07</td>\n",
+       "      <td>-0.000070</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Beer</th>\n",
+       "      <td>0.000023</td>\n",
+       "      <td>0.000024</td>\n",
+       "      <td>-8.170000e-06</td>\n",
+       "      <td>0.000018</td>\n",
+       "      <td>0.000036</td>\n",
+       "      <td>0.000039</td>\n",
+       "      <td>0.000049</td>\n",
+       "      <td>-1.720000e-06</td>\n",
+       "      <td>0.000030</td>\n",
+       "      <td>0.000016</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.247000e-05</td>\n",
+       "      <td>0.000035</td>\n",
+       "      <td>0.000017</td>\n",
+       "      <td>0.000019</td>\n",
+       "      <td>0.000073</td>\n",
+       "      <td>9.460000e-06</td>\n",
+       "      <td>1.290000e-05</td>\n",
+       "      <td>0.000061</td>\n",
+       "      <td>1.290000e-06</td>\n",
+       "      <td>0.000159</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Smoke</th>\n",
+       "      <td>0.000045</td>\n",
+       "      <td>0.000046</td>\n",
+       "      <td>-1.596000e-05</td>\n",
+       "      <td>0.000036</td>\n",
+       "      <td>0.000071</td>\n",
+       "      <td>0.000076</td>\n",
+       "      <td>0.000097</td>\n",
+       "      <td>-3.360000e-06</td>\n",
+       "      <td>0.000058</td>\n",
+       "      <td>0.000032</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.436000e-05</td>\n",
+       "      <td>0.000068</td>\n",
+       "      <td>0.000033</td>\n",
+       "      <td>0.000037</td>\n",
+       "      <td>0.000142</td>\n",
+       "      <td>1.848000e-05</td>\n",
+       "      <td>2.520000e-05</td>\n",
+       "      <td>0.000120</td>\n",
+       "      <td>2.520000e-06</td>\n",
+       "      <td>0.000310</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Toys</th>\n",
+       "      <td>0.000049</td>\n",
+       "      <td>0.000049</td>\n",
+       "      <td>-1.710000e-05</td>\n",
+       "      <td>0.000039</td>\n",
+       "      <td>0.000076</td>\n",
+       "      <td>0.000081</td>\n",
+       "      <td>0.000103</td>\n",
+       "      <td>-3.600000e-06</td>\n",
+       "      <td>0.000062</td>\n",
+       "      <td>0.000034</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.610000e-05</td>\n",
+       "      <td>0.000073</td>\n",
+       "      <td>0.000035</td>\n",
+       "      <td>0.000040</td>\n",
+       "      <td>0.000152</td>\n",
+       "      <td>1.980000e-05</td>\n",
+       "      <td>2.700000e-05</td>\n",
+       "      <td>0.000129</td>\n",
+       "      <td>2.700000e-06</td>\n",
+       "      <td>0.000332</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Fun</th>\n",
+       "      <td>0.000062</td>\n",
+       "      <td>0.000063</td>\n",
+       "      <td>-2.185000e-05</td>\n",
+       "      <td>0.000049</td>\n",
+       "      <td>0.000097</td>\n",
+       "      <td>0.000103</td>\n",
+       "      <td>0.000132</td>\n",
+       "      <td>-4.600000e-06</td>\n",
+       "      <td>0.000079</td>\n",
+       "      <td>0.000044</td>\n",
+       "      <td>...</td>\n",
+       "      <td>3.335000e-05</td>\n",
+       "      <td>0.000093</td>\n",
+       "      <td>0.000045</td>\n",
+       "      <td>0.000051</td>\n",
+       "      <td>0.000194</td>\n",
+       "      <td>2.530000e-05</td>\n",
+       "      <td>3.450000e-05</td>\n",
+       "      <td>0.000164</td>\n",
+       "      <td>3.450000e-06</td>\n",
+       "      <td>0.000424</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Books</th>\n",
+       "      <td>-0.000002</td>\n",
+       "      <td>-0.000002</td>\n",
+       "      <td>7.600000e-07</td>\n",
+       "      <td>-0.000002</td>\n",
+       "      <td>-0.000003</td>\n",
+       "      <td>-0.000004</td>\n",
+       "      <td>-0.000005</td>\n",
+       "      <td>1.600000e-07</td>\n",
+       "      <td>-0.000003</td>\n",
+       "      <td>-0.000002</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-1.160000e-06</td>\n",
+       "      <td>-0.000003</td>\n",
+       "      <td>-0.000002</td>\n",
+       "      <td>-0.000002</td>\n",
+       "      <td>-0.000007</td>\n",
+       "      <td>-8.800000e-07</td>\n",
+       "      <td>-1.200000e-06</td>\n",
+       "      <td>-0.000006</td>\n",
+       "      <td>-1.200000e-07</td>\n",
+       "      <td>-0.000015</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Hshld</th>\n",
+       "      <td>0.000037</td>\n",
+       "      <td>0.000038</td>\n",
+       "      <td>-1.311000e-05</td>\n",
+       "      <td>0.000030</td>\n",
+       "      <td>0.000058</td>\n",
+       "      <td>0.000062</td>\n",
+       "      <td>0.000079</td>\n",
+       "      <td>-2.760000e-06</td>\n",
+       "      <td>0.000048</td>\n",
+       "      <td>0.000026</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.001000e-05</td>\n",
+       "      <td>0.000056</td>\n",
+       "      <td>0.000027</td>\n",
+       "      <td>0.000030</td>\n",
+       "      <td>0.000117</td>\n",
+       "      <td>1.518000e-05</td>\n",
+       "      <td>2.070000e-05</td>\n",
+       "      <td>0.000099</td>\n",
+       "      <td>2.070000e-06</td>\n",
+       "      <td>0.000255</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Clths</th>\n",
+       "      <td>0.000021</td>\n",
+       "      <td>0.000021</td>\n",
+       "      <td>-7.220000e-06</td>\n",
+       "      <td>0.000016</td>\n",
+       "      <td>0.000032</td>\n",
+       "      <td>0.000034</td>\n",
+       "      <td>0.000044</td>\n",
+       "      <td>-1.520000e-06</td>\n",
+       "      <td>0.000026</td>\n",
+       "      <td>0.000014</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.102000e-05</td>\n",
+       "      <td>0.000031</td>\n",
+       "      <td>0.000015</td>\n",
+       "      <td>0.000017</td>\n",
+       "      <td>0.000064</td>\n",
+       "      <td>8.360000e-06</td>\n",
+       "      <td>1.140000e-05</td>\n",
+       "      <td>0.000054</td>\n",
+       "      <td>1.140000e-06</td>\n",
+       "      <td>0.000140</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Hlth</th>\n",
+       "      <td>-0.000049</td>\n",
+       "      <td>-0.000049</td>\n",
+       "      <td>1.710000e-05</td>\n",
+       "      <td>-0.000039</td>\n",
+       "      <td>-0.000076</td>\n",
+       "      <td>-0.000081</td>\n",
+       "      <td>-0.000103</td>\n",
+       "      <td>3.600000e-06</td>\n",
+       "      <td>-0.000062</td>\n",
+       "      <td>-0.000034</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-2.610000e-05</td>\n",
+       "      <td>-0.000073</td>\n",
+       "      <td>-0.000035</td>\n",
+       "      <td>-0.000040</td>\n",
+       "      <td>-0.000152</td>\n",
+       "      <td>-1.980000e-05</td>\n",
+       "      <td>-2.700000e-05</td>\n",
+       "      <td>-0.000129</td>\n",
+       "      <td>-2.700000e-06</td>\n",
+       "      <td>-0.000332</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MedEq</th>\n",
+       "      <td>0.000028</td>\n",
+       "      <td>0.000028</td>\n",
+       "      <td>-9.690000e-06</td>\n",
+       "      <td>0.000022</td>\n",
+       "      <td>0.000043</td>\n",
+       "      <td>0.000046</td>\n",
+       "      <td>0.000059</td>\n",
+       "      <td>-2.040000e-06</td>\n",
+       "      <td>0.000035</td>\n",
+       "      <td>0.000019</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.479000e-05</td>\n",
+       "      <td>0.000041</td>\n",
+       "      <td>0.000020</td>\n",
+       "      <td>0.000022</td>\n",
+       "      <td>0.000086</td>\n",
+       "      <td>1.122000e-05</td>\n",
+       "      <td>1.530000e-05</td>\n",
+       "      <td>0.000073</td>\n",
+       "      <td>1.530000e-06</td>\n",
+       "      <td>0.000188</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Drugs</th>\n",
+       "      <td>0.000036</td>\n",
+       "      <td>0.000036</td>\n",
+       "      <td>-1.254000e-05</td>\n",
+       "      <td>0.000028</td>\n",
+       "      <td>0.000055</td>\n",
+       "      <td>0.000059</td>\n",
+       "      <td>0.000076</td>\n",
+       "      <td>-2.640000e-06</td>\n",
+       "      <td>0.000046</td>\n",
+       "      <td>0.000025</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.914000e-05</td>\n",
+       "      <td>0.000053</td>\n",
+       "      <td>0.000026</td>\n",
+       "      <td>0.000029</td>\n",
+       "      <td>0.000112</td>\n",
+       "      <td>1.452000e-05</td>\n",
+       "      <td>1.980000e-05</td>\n",
+       "      <td>0.000094</td>\n",
+       "      <td>1.980000e-06</td>\n",
+       "      <td>0.000244</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Chems</th>\n",
+       "      <td>0.000019</td>\n",
+       "      <td>0.000020</td>\n",
+       "      <td>-6.840000e-06</td>\n",
+       "      <td>0.000015</td>\n",
+       "      <td>0.000030</td>\n",
+       "      <td>0.000032</td>\n",
+       "      <td>0.000041</td>\n",
+       "      <td>-1.440000e-06</td>\n",
+       "      <td>0.000025</td>\n",
+       "      <td>0.000014</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.044000e-05</td>\n",
+       "      <td>0.000029</td>\n",
+       "      <td>0.000014</td>\n",
+       "      <td>0.000016</td>\n",
+       "      <td>0.000061</td>\n",
+       "      <td>7.920000e-06</td>\n",
+       "      <td>1.080000e-05</td>\n",
+       "      <td>0.000051</td>\n",
+       "      <td>1.080000e-06</td>\n",
+       "      <td>0.000133</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Rubbr</th>\n",
+       "      <td>0.000076</td>\n",
+       "      <td>0.000078</td>\n",
+       "      <td>-2.679000e-05</td>\n",
+       "      <td>0.000061</td>\n",
+       "      <td>0.000118</td>\n",
+       "      <td>0.000127</td>\n",
+       "      <td>0.000162</td>\n",
+       "      <td>-5.640000e-06</td>\n",
+       "      <td>0.000097</td>\n",
+       "      <td>0.000054</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4.089000e-05</td>\n",
+       "      <td>0.000114</td>\n",
+       "      <td>0.000055</td>\n",
+       "      <td>0.000062</td>\n",
+       "      <td>0.000238</td>\n",
+       "      <td>3.102000e-05</td>\n",
+       "      <td>4.230000e-05</td>\n",
+       "      <td>0.000202</td>\n",
+       "      <td>4.230000e-06</td>\n",
+       "      <td>0.000520</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Txtls</th>\n",
+       "      <td>0.000032</td>\n",
+       "      <td>0.000033</td>\n",
+       "      <td>-1.140000e-05</td>\n",
+       "      <td>0.000026</td>\n",
+       "      <td>0.000050</td>\n",
+       "      <td>0.000054</td>\n",
+       "      <td>0.000069</td>\n",
+       "      <td>-2.400000e-06</td>\n",
+       "      <td>0.000041</td>\n",
+       "      <td>0.000023</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.740000e-05</td>\n",
+       "      <td>0.000049</td>\n",
+       "      <td>0.000023</td>\n",
+       "      <td>0.000026</td>\n",
+       "      <td>0.000101</td>\n",
+       "      <td>1.320000e-05</td>\n",
+       "      <td>1.800000e-05</td>\n",
+       "      <td>0.000086</td>\n",
+       "      <td>1.800000e-06</td>\n",
+       "      <td>0.000221</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BldMt</th>\n",
+       "      <td>0.000043</td>\n",
+       "      <td>0.000043</td>\n",
+       "      <td>-1.501000e-05</td>\n",
+       "      <td>0.000034</td>\n",
+       "      <td>0.000066</td>\n",
+       "      <td>0.000071</td>\n",
+       "      <td>0.000091</td>\n",
+       "      <td>-3.160000e-06</td>\n",
+       "      <td>0.000055</td>\n",
+       "      <td>0.000030</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.291000e-05</td>\n",
+       "      <td>0.000064</td>\n",
+       "      <td>0.000031</td>\n",
+       "      <td>0.000035</td>\n",
+       "      <td>0.000134</td>\n",
+       "      <td>1.738000e-05</td>\n",
+       "      <td>2.370000e-05</td>\n",
+       "      <td>0.000113</td>\n",
+       "      <td>2.370000e-06</td>\n",
+       "      <td>0.000292</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Cnstr</th>\n",
+       "      <td>0.000017</td>\n",
+       "      <td>0.000017</td>\n",
+       "      <td>-5.890000e-06</td>\n",
+       "      <td>0.000013</td>\n",
+       "      <td>0.000026</td>\n",
+       "      <td>0.000028</td>\n",
+       "      <td>0.000036</td>\n",
+       "      <td>-1.240000e-06</td>\n",
+       "      <td>0.000021</td>\n",
+       "      <td>0.000012</td>\n",
+       "      <td>...</td>\n",
+       "      <td>8.990000e-06</td>\n",
+       "      <td>0.000025</td>\n",
+       "      <td>0.000012</td>\n",
+       "      <td>0.000014</td>\n",
+       "      <td>0.000052</td>\n",
+       "      <td>6.820000e-06</td>\n",
+       "      <td>9.300000e-06</td>\n",
+       "      <td>0.000044</td>\n",
+       "      <td>9.300000e-07</td>\n",
+       "      <td>0.000114</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Steel</th>\n",
+       "      <td>0.000058</td>\n",
+       "      <td>0.000059</td>\n",
+       "      <td>-2.052000e-05</td>\n",
+       "      <td>0.000046</td>\n",
+       "      <td>0.000091</td>\n",
+       "      <td>0.000097</td>\n",
+       "      <td>0.000124</td>\n",
+       "      <td>-4.320000e-06</td>\n",
+       "      <td>0.000075</td>\n",
+       "      <td>0.000041</td>\n",
+       "      <td>...</td>\n",
+       "      <td>3.132000e-05</td>\n",
+       "      <td>0.000087</td>\n",
+       "      <td>0.000042</td>\n",
+       "      <td>0.000048</td>\n",
+       "      <td>0.000183</td>\n",
+       "      <td>2.376000e-05</td>\n",
+       "      <td>3.240000e-05</td>\n",
+       "      <td>0.000154</td>\n",
+       "      <td>3.240000e-06</td>\n",
+       "      <td>0.000399</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>FabPr</th>\n",
+       "      <td>0.000067</td>\n",
+       "      <td>0.000068</td>\n",
+       "      <td>-2.356000e-05</td>\n",
+       "      <td>0.000053</td>\n",
+       "      <td>0.000104</td>\n",
+       "      <td>0.000112</td>\n",
+       "      <td>0.000143</td>\n",
+       "      <td>-4.960000e-06</td>\n",
+       "      <td>0.000086</td>\n",
+       "      <td>0.000047</td>\n",
+       "      <td>...</td>\n",
+       "      <td>3.596000e-05</td>\n",
+       "      <td>0.000100</td>\n",
+       "      <td>0.000048</td>\n",
+       "      <td>0.000055</td>\n",
+       "      <td>0.000210</td>\n",
+       "      <td>2.728000e-05</td>\n",
+       "      <td>3.720000e-05</td>\n",
+       "      <td>0.000177</td>\n",
+       "      <td>3.720000e-06</td>\n",
+       "      <td>0.000458</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Mach</th>\n",
+       "      <td>0.000045</td>\n",
+       "      <td>0.000046</td>\n",
+       "      <td>-1.596000e-05</td>\n",
+       "      <td>0.000036</td>\n",
+       "      <td>0.000071</td>\n",
+       "      <td>0.000076</td>\n",
+       "      <td>0.000097</td>\n",
+       "      <td>-3.360000e-06</td>\n",
+       "      <td>0.000058</td>\n",
+       "      <td>0.000032</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.436000e-05</td>\n",
+       "      <td>0.000068</td>\n",
+       "      <td>0.000033</td>\n",
+       "      <td>0.000037</td>\n",
+       "      <td>0.000142</td>\n",
+       "      <td>1.848000e-05</td>\n",
+       "      <td>2.520000e-05</td>\n",
+       "      <td>0.000120</td>\n",
+       "      <td>2.520000e-06</td>\n",
+       "      <td>0.000310</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ElcEq</th>\n",
+       "      <td>-0.000089</td>\n",
+       "      <td>-0.000090</td>\n",
+       "      <td>3.116000e-05</td>\n",
+       "      <td>-0.000071</td>\n",
+       "      <td>-0.000138</td>\n",
+       "      <td>-0.000148</td>\n",
+       "      <td>-0.000189</td>\n",
+       "      <td>6.560000e-06</td>\n",
+       "      <td>-0.000113</td>\n",
+       "      <td>-0.000062</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-4.756000e-05</td>\n",
+       "      <td>-0.000133</td>\n",
+       "      <td>-0.000064</td>\n",
+       "      <td>-0.000072</td>\n",
+       "      <td>-0.000277</td>\n",
+       "      <td>-3.608000e-05</td>\n",
+       "      <td>-4.920000e-05</td>\n",
+       "      <td>-0.000235</td>\n",
+       "      <td>-4.920000e-06</td>\n",
+       "      <td>-0.000605</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Autos</th>\n",
+       "      <td>0.000019</td>\n",
+       "      <td>0.000019</td>\n",
+       "      <td>-6.650000e-06</td>\n",
+       "      <td>0.000015</td>\n",
+       "      <td>0.000029</td>\n",
+       "      <td>0.000031</td>\n",
+       "      <td>0.000040</td>\n",
+       "      <td>-1.400000e-06</td>\n",
+       "      <td>0.000024</td>\n",
+       "      <td>0.000013</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.015000e-05</td>\n",
+       "      <td>0.000028</td>\n",
+       "      <td>0.000014</td>\n",
+       "      <td>0.000015</td>\n",
+       "      <td>0.000059</td>\n",
+       "      <td>7.700000e-06</td>\n",
+       "      <td>1.050000e-05</td>\n",
+       "      <td>0.000050</td>\n",
+       "      <td>1.050000e-06</td>\n",
+       "      <td>0.000129</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Aero</th>\n",
+       "      <td>-0.000004</td>\n",
+       "      <td>-0.000004</td>\n",
+       "      <td>1.520000e-06</td>\n",
+       "      <td>-0.000003</td>\n",
+       "      <td>-0.000007</td>\n",
+       "      <td>-0.000007</td>\n",
+       "      <td>-0.000009</td>\n",
+       "      <td>3.200000e-07</td>\n",
+       "      <td>-0.000006</td>\n",
+       "      <td>-0.000003</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-2.320000e-06</td>\n",
+       "      <td>-0.000006</td>\n",
+       "      <td>-0.000003</td>\n",
+       "      <td>-0.000004</td>\n",
+       "      <td>-0.000014</td>\n",
+       "      <td>-1.760000e-06</td>\n",
+       "      <td>-2.400000e-06</td>\n",
+       "      <td>-0.000011</td>\n",
+       "      <td>-2.400000e-07</td>\n",
+       "      <td>-0.000030</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Ships</th>\n",
+       "      <td>0.000028</td>\n",
+       "      <td>0.000028</td>\n",
+       "      <td>-9.690000e-06</td>\n",
+       "      <td>0.000022</td>\n",
+       "      <td>0.000043</td>\n",
+       "      <td>0.000046</td>\n",
+       "      <td>0.000059</td>\n",
+       "      <td>-2.040000e-06</td>\n",
+       "      <td>0.000035</td>\n",
+       "      <td>0.000019</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.479000e-05</td>\n",
+       "      <td>0.000041</td>\n",
+       "      <td>0.000020</td>\n",
+       "      <td>0.000022</td>\n",
+       "      <td>0.000086</td>\n",
+       "      <td>1.122000e-05</td>\n",
+       "      <td>1.530000e-05</td>\n",
+       "      <td>0.000073</td>\n",
+       "      <td>1.530000e-06</td>\n",
+       "      <td>0.000188</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Guns</th>\n",
+       "      <td>-0.000021</td>\n",
+       "      <td>-0.000021</td>\n",
+       "      <td>7.410000e-06</td>\n",
+       "      <td>-0.000017</td>\n",
+       "      <td>-0.000033</td>\n",
+       "      <td>-0.000035</td>\n",
+       "      <td>-0.000045</td>\n",
+       "      <td>1.560000e-06</td>\n",
+       "      <td>-0.000027</td>\n",
+       "      <td>-0.000015</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-1.131000e-05</td>\n",
+       "      <td>-0.000032</td>\n",
+       "      <td>-0.000015</td>\n",
+       "      <td>-0.000017</td>\n",
+       "      <td>-0.000066</td>\n",
+       "      <td>-8.580000e-06</td>\n",
+       "      <td>-1.170000e-05</td>\n",
+       "      <td>-0.000056</td>\n",
+       "      <td>-1.170000e-06</td>\n",
+       "      <td>-0.000144</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Gold</th>\n",
+       "      <td>0.000018</td>\n",
+       "      <td>0.000018</td>\n",
+       "      <td>-6.270000e-06</td>\n",
+       "      <td>0.000014</td>\n",
+       "      <td>0.000028</td>\n",
+       "      <td>0.000030</td>\n",
+       "      <td>0.000038</td>\n",
+       "      <td>-1.320000e-06</td>\n",
+       "      <td>0.000023</td>\n",
+       "      <td>0.000013</td>\n",
+       "      <td>...</td>\n",
+       "      <td>9.570000e-06</td>\n",
+       "      <td>0.000027</td>\n",
+       "      <td>0.000013</td>\n",
+       "      <td>0.000015</td>\n",
+       "      <td>0.000056</td>\n",
+       "      <td>7.260000e-06</td>\n",
+       "      <td>9.900000e-06</td>\n",
+       "      <td>0.000047</td>\n",
+       "      <td>9.900000e-07</td>\n",
+       "      <td>0.000122</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Mines</th>\n",
+       "      <td>0.000043</td>\n",
+       "      <td>0.000044</td>\n",
+       "      <td>-1.520000e-05</td>\n",
+       "      <td>0.000034</td>\n",
+       "      <td>0.000067</td>\n",
+       "      <td>0.000072</td>\n",
+       "      <td>0.000092</td>\n",
+       "      <td>-3.200000e-06</td>\n",
+       "      <td>0.000055</td>\n",
+       "      <td>0.000030</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.320000e-05</td>\n",
+       "      <td>0.000065</td>\n",
+       "      <td>0.000031</td>\n",
+       "      <td>0.000035</td>\n",
+       "      <td>0.000135</td>\n",
+       "      <td>1.760000e-05</td>\n",
+       "      <td>2.400000e-05</td>\n",
+       "      <td>0.000114</td>\n",
+       "      <td>2.400000e-06</td>\n",
+       "      <td>0.000295</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Coal</th>\n",
+       "      <td>0.000130</td>\n",
+       "      <td>0.000133</td>\n",
+       "      <td>-4.579000e-05</td>\n",
+       "      <td>0.000104</td>\n",
+       "      <td>0.000202</td>\n",
+       "      <td>0.000217</td>\n",
+       "      <td>0.000277</td>\n",
+       "      <td>-9.640000e-06</td>\n",
+       "      <td>0.000166</td>\n",
+       "      <td>0.000092</td>\n",
+       "      <td>...</td>\n",
+       "      <td>6.989000e-05</td>\n",
+       "      <td>0.000195</td>\n",
+       "      <td>0.000094</td>\n",
+       "      <td>0.000106</td>\n",
+       "      <td>0.000407</td>\n",
+       "      <td>5.302000e-05</td>\n",
+       "      <td>7.230000e-05</td>\n",
+       "      <td>0.000345</td>\n",
+       "      <td>7.230000e-06</td>\n",
+       "      <td>0.000889</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Oil</th>\n",
+       "      <td>0.000057</td>\n",
+       "      <td>0.000058</td>\n",
+       "      <td>-1.995000e-05</td>\n",
+       "      <td>0.000045</td>\n",
+       "      <td>0.000088</td>\n",
+       "      <td>0.000094</td>\n",
+       "      <td>0.000121</td>\n",
+       "      <td>-4.200000e-06</td>\n",
+       "      <td>0.000072</td>\n",
+       "      <td>0.000040</td>\n",
+       "      <td>...</td>\n",
+       "      <td>3.045000e-05</td>\n",
+       "      <td>0.000085</td>\n",
+       "      <td>0.000041</td>\n",
+       "      <td>0.000046</td>\n",
+       "      <td>0.000177</td>\n",
+       "      <td>2.310000e-05</td>\n",
+       "      <td>3.150000e-05</td>\n",
+       "      <td>0.000150</td>\n",
+       "      <td>3.150000e-06</td>\n",
+       "      <td>0.000387</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Util</th>\n",
+       "      <td>0.000011</td>\n",
+       "      <td>0.000011</td>\n",
+       "      <td>-3.800000e-06</td>\n",
+       "      <td>0.000009</td>\n",
+       "      <td>0.000017</td>\n",
+       "      <td>0.000018</td>\n",
+       "      <td>0.000023</td>\n",
+       "      <td>-8.000000e-07</td>\n",
+       "      <td>0.000014</td>\n",
+       "      <td>0.000008</td>\n",
+       "      <td>...</td>\n",
+       "      <td>5.800000e-06</td>\n",
+       "      <td>0.000016</td>\n",
+       "      <td>0.000008</td>\n",
+       "      <td>0.000009</td>\n",
+       "      <td>0.000034</td>\n",
+       "      <td>4.400000e-06</td>\n",
+       "      <td>6.000000e-06</td>\n",
+       "      <td>0.000029</td>\n",
+       "      <td>6.000000e-07</td>\n",
+       "      <td>0.000074</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Telcm</th>\n",
+       "      <td>-0.000042</td>\n",
+       "      <td>-0.000043</td>\n",
+       "      <td>1.482000e-05</td>\n",
+       "      <td>-0.000034</td>\n",
+       "      <td>-0.000066</td>\n",
+       "      <td>-0.000070</td>\n",
+       "      <td>-0.000090</td>\n",
+       "      <td>3.120000e-06</td>\n",
+       "      <td>-0.000054</td>\n",
+       "      <td>-0.000030</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-2.262000e-05</td>\n",
+       "      <td>-0.000063</td>\n",
+       "      <td>-0.000030</td>\n",
+       "      <td>-0.000034</td>\n",
+       "      <td>-0.000132</td>\n",
+       "      <td>-1.716000e-05</td>\n",
+       "      <td>-2.340000e-05</td>\n",
+       "      <td>-0.000112</td>\n",
+       "      <td>-2.340000e-06</td>\n",
+       "      <td>-0.000288</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PerSv</th>\n",
+       "      <td>0.000084</td>\n",
+       "      <td>0.000085</td>\n",
+       "      <td>-2.945000e-05</td>\n",
+       "      <td>0.000067</td>\n",
+       "      <td>0.000130</td>\n",
+       "      <td>0.000139</td>\n",
+       "      <td>0.000178</td>\n",
+       "      <td>-6.200000e-06</td>\n",
+       "      <td>0.000107</td>\n",
+       "      <td>0.000059</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4.495000e-05</td>\n",
+       "      <td>0.000126</td>\n",
+       "      <td>0.000060</td>\n",
+       "      <td>0.000068</td>\n",
+       "      <td>0.000262</td>\n",
+       "      <td>3.410000e-05</td>\n",
+       "      <td>4.650000e-05</td>\n",
+       "      <td>0.000222</td>\n",
+       "      <td>4.650000e-06</td>\n",
+       "      <td>0.000572</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BusSv</th>\n",
+       "      <td>0.000122</td>\n",
+       "      <td>0.000124</td>\n",
+       "      <td>-4.294000e-05</td>\n",
+       "      <td>0.000097</td>\n",
+       "      <td>0.000190</td>\n",
+       "      <td>0.000203</td>\n",
+       "      <td>0.000260</td>\n",
+       "      <td>-9.040000e-06</td>\n",
+       "      <td>0.000156</td>\n",
+       "      <td>0.000086</td>\n",
+       "      <td>...</td>\n",
+       "      <td>6.554000e-05</td>\n",
+       "      <td>0.000183</td>\n",
+       "      <td>0.000088</td>\n",
+       "      <td>0.000099</td>\n",
+       "      <td>0.000382</td>\n",
+       "      <td>4.972000e-05</td>\n",
+       "      <td>6.780000e-05</td>\n",
+       "      <td>0.000323</td>\n",
+       "      <td>6.780000e-06</td>\n",
+       "      <td>0.000834</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Hardw</th>\n",
+       "      <td>0.000014</td>\n",
+       "      <td>0.000014</td>\n",
+       "      <td>-4.750000e-06</td>\n",
+       "      <td>0.000011</td>\n",
+       "      <td>0.000021</td>\n",
+       "      <td>0.000022</td>\n",
+       "      <td>0.000029</td>\n",
+       "      <td>-1.000000e-06</td>\n",
+       "      <td>0.000017</td>\n",
+       "      <td>0.000010</td>\n",
+       "      <td>...</td>\n",
+       "      <td>7.250000e-06</td>\n",
+       "      <td>0.000020</td>\n",
+       "      <td>0.000010</td>\n",
+       "      <td>0.000011</td>\n",
+       "      <td>0.000042</td>\n",
+       "      <td>5.500000e-06</td>\n",
+       "      <td>7.500000e-06</td>\n",
+       "      <td>0.000036</td>\n",
+       "      <td>7.500000e-07</td>\n",
+       "      <td>0.000092</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Softw</th>\n",
+       "      <td>0.000202</td>\n",
+       "      <td>0.000206</td>\n",
+       "      <td>-7.106000e-05</td>\n",
+       "      <td>0.000161</td>\n",
+       "      <td>0.000314</td>\n",
+       "      <td>0.000337</td>\n",
+       "      <td>0.000430</td>\n",
+       "      <td>-1.496000e-05</td>\n",
+       "      <td>0.000258</td>\n",
+       "      <td>0.000142</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.084600e-04</td>\n",
+       "      <td>0.000303</td>\n",
+       "      <td>0.000146</td>\n",
+       "      <td>0.000165</td>\n",
+       "      <td>0.000632</td>\n",
+       "      <td>8.228000e-05</td>\n",
+       "      <td>1.122000e-04</td>\n",
+       "      <td>0.000535</td>\n",
+       "      <td>1.122000e-05</td>\n",
+       "      <td>0.001380</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Chips</th>\n",
+       "      <td>0.000037</td>\n",
+       "      <td>0.000038</td>\n",
+       "      <td>-1.311000e-05</td>\n",
+       "      <td>0.000030</td>\n",
+       "      <td>0.000058</td>\n",
+       "      <td>0.000062</td>\n",
+       "      <td>0.000079</td>\n",
+       "      <td>-2.760000e-06</td>\n",
+       "      <td>0.000048</td>\n",
+       "      <td>0.000026</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.001000e-05</td>\n",
+       "      <td>0.000056</td>\n",
+       "      <td>0.000027</td>\n",
+       "      <td>0.000030</td>\n",
+       "      <td>0.000117</td>\n",
+       "      <td>1.518000e-05</td>\n",
+       "      <td>2.070000e-05</td>\n",
+       "      <td>0.000099</td>\n",
+       "      <td>2.070000e-06</td>\n",
+       "      <td>0.000255</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>LabEq</th>\n",
+       "      <td>0.000051</td>\n",
+       "      <td>0.000052</td>\n",
+       "      <td>-1.805000e-05</td>\n",
+       "      <td>0.000041</td>\n",
+       "      <td>0.000080</td>\n",
+       "      <td>0.000085</td>\n",
+       "      <td>0.000109</td>\n",
+       "      <td>-3.800000e-06</td>\n",
+       "      <td>0.000066</td>\n",
+       "      <td>0.000036</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.755000e-05</td>\n",
+       "      <td>0.000077</td>\n",
+       "      <td>0.000037</td>\n",
+       "      <td>0.000042</td>\n",
+       "      <td>0.000161</td>\n",
+       "      <td>2.090000e-05</td>\n",
+       "      <td>2.850000e-05</td>\n",
+       "      <td>0.000136</td>\n",
+       "      <td>2.850000e-06</td>\n",
+       "      <td>0.000351</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Paper</th>\n",
+       "      <td>-0.000026</td>\n",
+       "      <td>-0.000027</td>\n",
+       "      <td>9.310000e-06</td>\n",
+       "      <td>-0.000021</td>\n",
+       "      <td>-0.000041</td>\n",
+       "      <td>-0.000044</td>\n",
+       "      <td>-0.000056</td>\n",
+       "      <td>1.960000e-06</td>\n",
+       "      <td>-0.000034</td>\n",
+       "      <td>-0.000019</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-1.421000e-05</td>\n",
+       "      <td>-0.000040</td>\n",
+       "      <td>-0.000019</td>\n",
+       "      <td>-0.000022</td>\n",
+       "      <td>-0.000083</td>\n",
+       "      <td>-1.078000e-05</td>\n",
+       "      <td>-1.470000e-05</td>\n",
+       "      <td>-0.000070</td>\n",
+       "      <td>-1.470000e-06</td>\n",
+       "      <td>-0.000181</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Boxes</th>\n",
+       "      <td>0.000016</td>\n",
+       "      <td>0.000016</td>\n",
+       "      <td>-5.510000e-06</td>\n",
+       "      <td>0.000012</td>\n",
+       "      <td>0.000024</td>\n",
+       "      <td>0.000026</td>\n",
+       "      <td>0.000033</td>\n",
+       "      <td>-1.160000e-06</td>\n",
+       "      <td>0.000020</td>\n",
+       "      <td>0.000011</td>\n",
+       "      <td>...</td>\n",
+       "      <td>8.410000e-06</td>\n",
+       "      <td>0.000023</td>\n",
+       "      <td>0.000011</td>\n",
+       "      <td>0.000013</td>\n",
+       "      <td>0.000049</td>\n",
+       "      <td>6.380000e-06</td>\n",
+       "      <td>8.700000e-06</td>\n",
+       "      <td>0.000041</td>\n",
+       "      <td>8.700000e-07</td>\n",
+       "      <td>0.000107</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Trans</th>\n",
+       "      <td>0.000044</td>\n",
+       "      <td>0.000045</td>\n",
+       "      <td>-1.539000e-05</td>\n",
+       "      <td>0.000035</td>\n",
+       "      <td>0.000068</td>\n",
+       "      <td>0.000073</td>\n",
+       "      <td>0.000093</td>\n",
+       "      <td>-3.240000e-06</td>\n",
+       "      <td>0.000056</td>\n",
+       "      <td>0.000031</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.349000e-05</td>\n",
+       "      <td>0.000066</td>\n",
+       "      <td>0.000032</td>\n",
+       "      <td>0.000036</td>\n",
+       "      <td>0.000137</td>\n",
+       "      <td>1.782000e-05</td>\n",
+       "      <td>2.430000e-05</td>\n",
+       "      <td>0.000116</td>\n",
+       "      <td>2.430000e-06</td>\n",
+       "      <td>0.000299</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Whlsl</th>\n",
+       "      <td>0.000021</td>\n",
+       "      <td>0.000021</td>\n",
+       "      <td>-7.410000e-06</td>\n",
+       "      <td>0.000017</td>\n",
+       "      <td>0.000033</td>\n",
+       "      <td>0.000035</td>\n",
+       "      <td>0.000045</td>\n",
+       "      <td>-1.560000e-06</td>\n",
+       "      <td>0.000027</td>\n",
+       "      <td>0.000015</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.131000e-05</td>\n",
+       "      <td>0.000032</td>\n",
+       "      <td>0.000015</td>\n",
+       "      <td>0.000017</td>\n",
+       "      <td>0.000066</td>\n",
+       "      <td>8.580000e-06</td>\n",
+       "      <td>1.170000e-05</td>\n",
+       "      <td>0.000056</td>\n",
+       "      <td>1.170000e-06</td>\n",
+       "      <td>0.000144</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Rtail</th>\n",
+       "      <td>0.000024</td>\n",
+       "      <td>0.000024</td>\n",
+       "      <td>-8.360000e-06</td>\n",
+       "      <td>0.000019</td>\n",
+       "      <td>0.000037</td>\n",
+       "      <td>0.000040</td>\n",
+       "      <td>0.000051</td>\n",
+       "      <td>-1.760000e-06</td>\n",
+       "      <td>0.000030</td>\n",
+       "      <td>0.000017</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.276000e-05</td>\n",
+       "      <td>0.000036</td>\n",
+       "      <td>0.000017</td>\n",
+       "      <td>0.000019</td>\n",
+       "      <td>0.000074</td>\n",
+       "      <td>9.680000e-06</td>\n",
+       "      <td>1.320000e-05</td>\n",
+       "      <td>0.000063</td>\n",
+       "      <td>1.320000e-06</td>\n",
+       "      <td>0.000162</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Meals</th>\n",
+       "      <td>0.000091</td>\n",
+       "      <td>0.000093</td>\n",
+       "      <td>-3.211000e-05</td>\n",
+       "      <td>0.000073</td>\n",
+       "      <td>0.000142</td>\n",
+       "      <td>0.000152</td>\n",
+       "      <td>0.000194</td>\n",
+       "      <td>-6.760000e-06</td>\n",
+       "      <td>0.000117</td>\n",
+       "      <td>0.000064</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4.901000e-05</td>\n",
+       "      <td>0.000137</td>\n",
+       "      <td>0.000066</td>\n",
+       "      <td>0.000074</td>\n",
+       "      <td>0.000286</td>\n",
+       "      <td>3.718000e-05</td>\n",
+       "      <td>5.070000e-05</td>\n",
+       "      <td>0.000242</td>\n",
+       "      <td>5.070000e-06</td>\n",
+       "      <td>0.000624</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Banks</th>\n",
+       "      <td>0.000012</td>\n",
+       "      <td>0.000012</td>\n",
+       "      <td>-4.180000e-06</td>\n",
+       "      <td>0.000009</td>\n",
+       "      <td>0.000018</td>\n",
+       "      <td>0.000020</td>\n",
+       "      <td>0.000025</td>\n",
+       "      <td>-8.800000e-07</td>\n",
+       "      <td>0.000015</td>\n",
+       "      <td>0.000008</td>\n",
+       "      <td>...</td>\n",
+       "      <td>6.380000e-06</td>\n",
+       "      <td>0.000018</td>\n",
+       "      <td>0.000009</td>\n",
+       "      <td>0.000010</td>\n",
+       "      <td>0.000037</td>\n",
+       "      <td>4.840000e-06</td>\n",
+       "      <td>6.600000e-06</td>\n",
+       "      <td>0.000031</td>\n",
+       "      <td>6.600000e-07</td>\n",
+       "      <td>0.000081</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Insur</th>\n",
+       "      <td>0.000016</td>\n",
+       "      <td>0.000016</td>\n",
+       "      <td>-5.700000e-06</td>\n",
+       "      <td>0.000013</td>\n",
+       "      <td>0.000025</td>\n",
+       "      <td>0.000027</td>\n",
+       "      <td>0.000034</td>\n",
+       "      <td>-1.200000e-06</td>\n",
+       "      <td>0.000021</td>\n",
+       "      <td>0.000011</td>\n",
+       "      <td>...</td>\n",
+       "      <td>8.700000e-06</td>\n",
+       "      <td>0.000024</td>\n",
+       "      <td>0.000012</td>\n",
+       "      <td>0.000013</td>\n",
+       "      <td>0.000051</td>\n",
+       "      <td>6.600000e-06</td>\n",
+       "      <td>9.000000e-06</td>\n",
+       "      <td>0.000043</td>\n",
+       "      <td>9.000000e-07</td>\n",
+       "      <td>0.000111</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>RlEst</th>\n",
+       "      <td>0.000077</td>\n",
+       "      <td>0.000079</td>\n",
+       "      <td>-2.717000e-05</td>\n",
+       "      <td>0.000061</td>\n",
+       "      <td>0.000120</td>\n",
+       "      <td>0.000129</td>\n",
+       "      <td>0.000164</td>\n",
+       "      <td>-5.720000e-06</td>\n",
+       "      <td>0.000099</td>\n",
+       "      <td>0.000054</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4.147000e-05</td>\n",
+       "      <td>0.000116</td>\n",
+       "      <td>0.000056</td>\n",
+       "      <td>0.000063</td>\n",
+       "      <td>0.000242</td>\n",
+       "      <td>3.146000e-05</td>\n",
+       "      <td>4.290000e-05</td>\n",
+       "      <td>0.000204</td>\n",
+       "      <td>4.290000e-06</td>\n",
+       "      <td>0.000528</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Fin</th>\n",
+       "      <td>0.000002</td>\n",
+       "      <td>0.000002</td>\n",
+       "      <td>-5.700000e-07</td>\n",
+       "      <td>0.000001</td>\n",
+       "      <td>0.000003</td>\n",
+       "      <td>0.000003</td>\n",
+       "      <td>0.000003</td>\n",
+       "      <td>-1.200000e-07</td>\n",
+       "      <td>0.000002</td>\n",
+       "      <td>0.000001</td>\n",
+       "      <td>...</td>\n",
+       "      <td>8.700000e-07</td>\n",
+       "      <td>0.000002</td>\n",
+       "      <td>0.000001</td>\n",
+       "      <td>0.000001</td>\n",
+       "      <td>0.000005</td>\n",
+       "      <td>6.600000e-07</td>\n",
+       "      <td>9.000000e-07</td>\n",
+       "      <td>0.000004</td>\n",
+       "      <td>9.000000e-08</td>\n",
+       "      <td>0.000011</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Other</th>\n",
+       "      <td>0.000199</td>\n",
+       "      <td>0.000203</td>\n",
+       "      <td>-7.011000e-05</td>\n",
+       "      <td>0.000159</td>\n",
+       "      <td>0.000310</td>\n",
+       "      <td>0.000332</td>\n",
+       "      <td>0.000424</td>\n",
+       "      <td>-1.476000e-05</td>\n",
+       "      <td>0.000255</td>\n",
+       "      <td>0.000140</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.070100e-04</td>\n",
+       "      <td>0.000299</td>\n",
+       "      <td>0.000144</td>\n",
+       "      <td>0.000162</td>\n",
+       "      <td>0.000624</td>\n",
+       "      <td>8.118000e-05</td>\n",
+       "      <td>1.107000e-04</td>\n",
+       "      <td>0.000528</td>\n",
+       "      <td>1.107000e-05</td>\n",
+       "      <td>0.001362</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>49 rows × 49 columns</p>\n",
+       "</div>"
+      ],
       "text/plain": [
-       "6391    -0.084706\n",
-       "9245    -0.080729\n",
-       "20265   -0.075000\n",
-       "21110   -0.074286\n",
-       "10408   -0.071594\n",
-       "           ...   \n",
-       "21551    0.163344\n",
-       "12583    0.165440\n",
-       "15473    0.174056\n",
-       "12793    0.179007\n",
-       "10303    0.203125\n",
-       "Name: 2000-01-03 00:00:00, Length: 238, dtype: float64"
+       "          Agric      Food          Soda      Beer     Smoke      Toys  \\\n",
+       "Agric  0.000029  0.000030 -1.026000e-05  0.000023  0.000045  0.000049   \n",
+       "Food   0.000030  0.000030 -1.045000e-05  0.000024  0.000046  0.000049   \n",
+       "Soda  -0.000010 -0.000010  3.610000e-06 -0.000008 -0.000016 -0.000017   \n",
+       "Beer   0.000023  0.000024 -8.170000e-06  0.000018  0.000036  0.000039   \n",
+       "Smoke  0.000045  0.000046 -1.596000e-05  0.000036  0.000071  0.000076   \n",
+       "Toys   0.000049  0.000049 -1.710000e-05  0.000039  0.000076  0.000081   \n",
+       "Fun    0.000062  0.000063 -2.185000e-05  0.000049  0.000097  0.000103   \n",
+       "Books -0.000002 -0.000002  7.600000e-07 -0.000002 -0.000003 -0.000004   \n",
+       "Hshld  0.000037  0.000038 -1.311000e-05  0.000030  0.000058  0.000062   \n",
+       "Clths  0.000021  0.000021 -7.220000e-06  0.000016  0.000032  0.000034   \n",
+       "Hlth  -0.000049 -0.000049  1.710000e-05 -0.000039 -0.000076 -0.000081   \n",
+       "MedEq  0.000028  0.000028 -9.690000e-06  0.000022  0.000043  0.000046   \n",
+       "Drugs  0.000036  0.000036 -1.254000e-05  0.000028  0.000055  0.000059   \n",
+       "Chems  0.000019  0.000020 -6.840000e-06  0.000015  0.000030  0.000032   \n",
+       "Rubbr  0.000076  0.000078 -2.679000e-05  0.000061  0.000118  0.000127   \n",
+       "Txtls  0.000032  0.000033 -1.140000e-05  0.000026  0.000050  0.000054   \n",
+       "BldMt  0.000043  0.000043 -1.501000e-05  0.000034  0.000066  0.000071   \n",
+       "Cnstr  0.000017  0.000017 -5.890000e-06  0.000013  0.000026  0.000028   \n",
+       "Steel  0.000058  0.000059 -2.052000e-05  0.000046  0.000091  0.000097   \n",
+       "FabPr  0.000067  0.000068 -2.356000e-05  0.000053  0.000104  0.000112   \n",
+       "Mach   0.000045  0.000046 -1.596000e-05  0.000036  0.000071  0.000076   \n",
+       "ElcEq -0.000089 -0.000090  3.116000e-05 -0.000071 -0.000138 -0.000148   \n",
+       "Autos  0.000019  0.000019 -6.650000e-06  0.000015  0.000029  0.000031   \n",
+       "Aero  -0.000004 -0.000004  1.520000e-06 -0.000003 -0.000007 -0.000007   \n",
+       "Ships  0.000028  0.000028 -9.690000e-06  0.000022  0.000043  0.000046   \n",
+       "Guns  -0.000021 -0.000021  7.410000e-06 -0.000017 -0.000033 -0.000035   \n",
+       "Gold   0.000018  0.000018 -6.270000e-06  0.000014  0.000028  0.000030   \n",
+       "Mines  0.000043  0.000044 -1.520000e-05  0.000034  0.000067  0.000072   \n",
+       "Coal   0.000130  0.000133 -4.579000e-05  0.000104  0.000202  0.000217   \n",
+       "Oil    0.000057  0.000058 -1.995000e-05  0.000045  0.000088  0.000094   \n",
+       "Util   0.000011  0.000011 -3.800000e-06  0.000009  0.000017  0.000018   \n",
+       "Telcm -0.000042 -0.000043  1.482000e-05 -0.000034 -0.000066 -0.000070   \n",
+       "PerSv  0.000084  0.000085 -2.945000e-05  0.000067  0.000130  0.000139   \n",
+       "BusSv  0.000122  0.000124 -4.294000e-05  0.000097  0.000190  0.000203   \n",
+       "Hardw  0.000014  0.000014 -4.750000e-06  0.000011  0.000021  0.000022   \n",
+       "Softw  0.000202  0.000206 -7.106000e-05  0.000161  0.000314  0.000337   \n",
+       "Chips  0.000037  0.000038 -1.311000e-05  0.000030  0.000058  0.000062   \n",
+       "LabEq  0.000051  0.000052 -1.805000e-05  0.000041  0.000080  0.000085   \n",
+       "Paper -0.000026 -0.000027  9.310000e-06 -0.000021 -0.000041 -0.000044   \n",
+       "Boxes  0.000016  0.000016 -5.510000e-06  0.000012  0.000024  0.000026   \n",
+       "Trans  0.000044  0.000045 -1.539000e-05  0.000035  0.000068  0.000073   \n",
+       "Whlsl  0.000021  0.000021 -7.410000e-06  0.000017  0.000033  0.000035   \n",
+       "Rtail  0.000024  0.000024 -8.360000e-06  0.000019  0.000037  0.000040   \n",
+       "Meals  0.000091  0.000093 -3.211000e-05  0.000073  0.000142  0.000152   \n",
+       "Banks  0.000012  0.000012 -4.180000e-06  0.000009  0.000018  0.000020   \n",
+       "Insur  0.000016  0.000016 -5.700000e-06  0.000013  0.000025  0.000027   \n",
+       "RlEst  0.000077  0.000079 -2.717000e-05  0.000061  0.000120  0.000129   \n",
+       "Fin    0.000002  0.000002 -5.700000e-07  0.000001  0.000003  0.000003   \n",
+       "Other  0.000199  0.000203 -7.011000e-05  0.000159  0.000310  0.000332   \n",
+       "\n",
+       "            Fun         Books     Hshld     Clths  ...         Boxes  \\\n",
+       "Agric  0.000062 -2.160000e-06  0.000037  0.000021  ...  1.566000e-05   \n",
+       "Food   0.000063 -2.200000e-06  0.000038  0.000021  ...  1.595000e-05   \n",
+       "Soda  -0.000022  7.600000e-07 -0.000013 -0.000007  ... -5.510000e-06   \n",
+       "Beer   0.000049 -1.720000e-06  0.000030  0.000016  ...  1.247000e-05   \n",
+       "Smoke  0.000097 -3.360000e-06  0.000058  0.000032  ...  2.436000e-05   \n",
+       "Toys   0.000103 -3.600000e-06  0.000062  0.000034  ...  2.610000e-05   \n",
+       "Fun    0.000132 -4.600000e-06  0.000079  0.000044  ...  3.335000e-05   \n",
+       "Books -0.000005  1.600000e-07 -0.000003 -0.000002  ... -1.160000e-06   \n",
+       "Hshld  0.000079 -2.760000e-06  0.000048  0.000026  ...  2.001000e-05   \n",
+       "Clths  0.000044 -1.520000e-06  0.000026  0.000014  ...  1.102000e-05   \n",
+       "Hlth  -0.000103  3.600000e-06 -0.000062 -0.000034  ... -2.610000e-05   \n",
+       "MedEq  0.000059 -2.040000e-06  0.000035  0.000019  ...  1.479000e-05   \n",
+       "Drugs  0.000076 -2.640000e-06  0.000046  0.000025  ...  1.914000e-05   \n",
+       "Chems  0.000041 -1.440000e-06  0.000025  0.000014  ...  1.044000e-05   \n",
+       "Rubbr  0.000162 -5.640000e-06  0.000097  0.000054  ...  4.089000e-05   \n",
+       "Txtls  0.000069 -2.400000e-06  0.000041  0.000023  ...  1.740000e-05   \n",
+       "BldMt  0.000091 -3.160000e-06  0.000055  0.000030  ...  2.291000e-05   \n",
+       "Cnstr  0.000036 -1.240000e-06  0.000021  0.000012  ...  8.990000e-06   \n",
+       "Steel  0.000124 -4.320000e-06  0.000075  0.000041  ...  3.132000e-05   \n",
+       "FabPr  0.000143 -4.960000e-06  0.000086  0.000047  ...  3.596000e-05   \n",
+       "Mach   0.000097 -3.360000e-06  0.000058  0.000032  ...  2.436000e-05   \n",
+       "ElcEq -0.000189  6.560000e-06 -0.000113 -0.000062  ... -4.756000e-05   \n",
+       "Autos  0.000040 -1.400000e-06  0.000024  0.000013  ...  1.015000e-05   \n",
+       "Aero  -0.000009  3.200000e-07 -0.000006 -0.000003  ... -2.320000e-06   \n",
+       "Ships  0.000059 -2.040000e-06  0.000035  0.000019  ...  1.479000e-05   \n",
+       "Guns  -0.000045  1.560000e-06 -0.000027 -0.000015  ... -1.131000e-05   \n",
+       "Gold   0.000038 -1.320000e-06  0.000023  0.000013  ...  9.570000e-06   \n",
+       "Mines  0.000092 -3.200000e-06  0.000055  0.000030  ...  2.320000e-05   \n",
+       "Coal   0.000277 -9.640000e-06  0.000166  0.000092  ...  6.989000e-05   \n",
+       "Oil    0.000121 -4.200000e-06  0.000072  0.000040  ...  3.045000e-05   \n",
+       "Util   0.000023 -8.000000e-07  0.000014  0.000008  ...  5.800000e-06   \n",
+       "Telcm -0.000090  3.120000e-06 -0.000054 -0.000030  ... -2.262000e-05   \n",
+       "PerSv  0.000178 -6.200000e-06  0.000107  0.000059  ...  4.495000e-05   \n",
+       "BusSv  0.000260 -9.040000e-06  0.000156  0.000086  ...  6.554000e-05   \n",
+       "Hardw  0.000029 -1.000000e-06  0.000017  0.000010  ...  7.250000e-06   \n",
+       "Softw  0.000430 -1.496000e-05  0.000258  0.000142  ...  1.084600e-04   \n",
+       "Chips  0.000079 -2.760000e-06  0.000048  0.000026  ...  2.001000e-05   \n",
+       "LabEq  0.000109 -3.800000e-06  0.000066  0.000036  ...  2.755000e-05   \n",
+       "Paper -0.000056  1.960000e-06 -0.000034 -0.000019  ... -1.421000e-05   \n",
+       "Boxes  0.000033 -1.160000e-06  0.000020  0.000011  ...  8.410000e-06   \n",
+       "Trans  0.000093 -3.240000e-06  0.000056  0.000031  ...  2.349000e-05   \n",
+       "Whlsl  0.000045 -1.560000e-06  0.000027  0.000015  ...  1.131000e-05   \n",
+       "Rtail  0.000051 -1.760000e-06  0.000030  0.000017  ...  1.276000e-05   \n",
+       "Meals  0.000194 -6.760000e-06  0.000117  0.000064  ...  4.901000e-05   \n",
+       "Banks  0.000025 -8.800000e-07  0.000015  0.000008  ...  6.380000e-06   \n",
+       "Insur  0.000034 -1.200000e-06  0.000021  0.000011  ...  8.700000e-06   \n",
+       "RlEst  0.000164 -5.720000e-06  0.000099  0.000054  ...  4.147000e-05   \n",
+       "Fin    0.000003 -1.200000e-07  0.000002  0.000001  ...  8.700000e-07   \n",
+       "Other  0.000424 -1.476000e-05  0.000255  0.000140  ...  1.070100e-04   \n",
+       "\n",
+       "          Trans     Whlsl     Rtail     Meals         Banks         Insur  \\\n",
+       "Agric  0.000044  0.000021  0.000024  0.000091  1.188000e-05  1.620000e-05   \n",
+       "Food   0.000045  0.000021  0.000024  0.000093  1.210000e-05  1.650000e-05   \n",
+       "Soda  -0.000015 -0.000007 -0.000008 -0.000032 -4.180000e-06 -5.700000e-06   \n",
+       "Beer   0.000035  0.000017  0.000019  0.000073  9.460000e-06  1.290000e-05   \n",
+       "Smoke  0.000068  0.000033  0.000037  0.000142  1.848000e-05  2.520000e-05   \n",
+       "Toys   0.000073  0.000035  0.000040  0.000152  1.980000e-05  2.700000e-05   \n",
+       "Fun    0.000093  0.000045  0.000051  0.000194  2.530000e-05  3.450000e-05   \n",
+       "Books -0.000003 -0.000002 -0.000002 -0.000007 -8.800000e-07 -1.200000e-06   \n",
+       "Hshld  0.000056  0.000027  0.000030  0.000117  1.518000e-05  2.070000e-05   \n",
+       "Clths  0.000031  0.000015  0.000017  0.000064  8.360000e-06  1.140000e-05   \n",
+       "Hlth  -0.000073 -0.000035 -0.000040 -0.000152 -1.980000e-05 -2.700000e-05   \n",
+       "MedEq  0.000041  0.000020  0.000022  0.000086  1.122000e-05  1.530000e-05   \n",
+       "Drugs  0.000053  0.000026  0.000029  0.000112  1.452000e-05  1.980000e-05   \n",
+       "Chems  0.000029  0.000014  0.000016  0.000061  7.920000e-06  1.080000e-05   \n",
+       "Rubbr  0.000114  0.000055  0.000062  0.000238  3.102000e-05  4.230000e-05   \n",
+       "Txtls  0.000049  0.000023  0.000026  0.000101  1.320000e-05  1.800000e-05   \n",
+       "BldMt  0.000064  0.000031  0.000035  0.000134  1.738000e-05  2.370000e-05   \n",
+       "Cnstr  0.000025  0.000012  0.000014  0.000052  6.820000e-06  9.300000e-06   \n",
+       "Steel  0.000087  0.000042  0.000048  0.000183  2.376000e-05  3.240000e-05   \n",
+       "FabPr  0.000100  0.000048  0.000055  0.000210  2.728000e-05  3.720000e-05   \n",
+       "Mach   0.000068  0.000033  0.000037  0.000142  1.848000e-05  2.520000e-05   \n",
+       "ElcEq -0.000133 -0.000064 -0.000072 -0.000277 -3.608000e-05 -4.920000e-05   \n",
+       "Autos  0.000028  0.000014  0.000015  0.000059  7.700000e-06  1.050000e-05   \n",
+       "Aero  -0.000006 -0.000003 -0.000004 -0.000014 -1.760000e-06 -2.400000e-06   \n",
+       "Ships  0.000041  0.000020  0.000022  0.000086  1.122000e-05  1.530000e-05   \n",
+       "Guns  -0.000032 -0.000015 -0.000017 -0.000066 -8.580000e-06 -1.170000e-05   \n",
+       "Gold   0.000027  0.000013  0.000015  0.000056  7.260000e-06  9.900000e-06   \n",
+       "Mines  0.000065  0.000031  0.000035  0.000135  1.760000e-05  2.400000e-05   \n",
+       "Coal   0.000195  0.000094  0.000106  0.000407  5.302000e-05  7.230000e-05   \n",
+       "Oil    0.000085  0.000041  0.000046  0.000177  2.310000e-05  3.150000e-05   \n",
+       "Util   0.000016  0.000008  0.000009  0.000034  4.400000e-06  6.000000e-06   \n",
+       "Telcm -0.000063 -0.000030 -0.000034 -0.000132 -1.716000e-05 -2.340000e-05   \n",
+       "PerSv  0.000126  0.000060  0.000068  0.000262  3.410000e-05  4.650000e-05   \n",
+       "BusSv  0.000183  0.000088  0.000099  0.000382  4.972000e-05  6.780000e-05   \n",
+       "Hardw  0.000020  0.000010  0.000011  0.000042  5.500000e-06  7.500000e-06   \n",
+       "Softw  0.000303  0.000146  0.000165  0.000632  8.228000e-05  1.122000e-04   \n",
+       "Chips  0.000056  0.000027  0.000030  0.000117  1.518000e-05  2.070000e-05   \n",
+       "LabEq  0.000077  0.000037  0.000042  0.000161  2.090000e-05  2.850000e-05   \n",
+       "Paper -0.000040 -0.000019 -0.000022 -0.000083 -1.078000e-05 -1.470000e-05   \n",
+       "Boxes  0.000023  0.000011  0.000013  0.000049  6.380000e-06  8.700000e-06   \n",
+       "Trans  0.000066  0.000032  0.000036  0.000137  1.782000e-05  2.430000e-05   \n",
+       "Whlsl  0.000032  0.000015  0.000017  0.000066  8.580000e-06  1.170000e-05   \n",
+       "Rtail  0.000036  0.000017  0.000019  0.000074  9.680000e-06  1.320000e-05   \n",
+       "Meals  0.000137  0.000066  0.000074  0.000286  3.718000e-05  5.070000e-05   \n",
+       "Banks  0.000018  0.000009  0.000010  0.000037  4.840000e-06  6.600000e-06   \n",
+       "Insur  0.000024  0.000012  0.000013  0.000051  6.600000e-06  9.000000e-06   \n",
+       "RlEst  0.000116  0.000056  0.000063  0.000242  3.146000e-05  4.290000e-05   \n",
+       "Fin    0.000002  0.000001  0.000001  0.000005  6.600000e-07  9.000000e-07   \n",
+       "Other  0.000299  0.000144  0.000162  0.000624  8.118000e-05  1.107000e-04   \n",
+       "\n",
+       "          RlEst           Fin     Other  \n",
+       "Agric  0.000077  1.620000e-06  0.000199  \n",
+       "Food   0.000079  1.650000e-06  0.000203  \n",
+       "Soda  -0.000027 -5.700000e-07 -0.000070  \n",
+       "Beer   0.000061  1.290000e-06  0.000159  \n",
+       "Smoke  0.000120  2.520000e-06  0.000310  \n",
+       "Toys   0.000129  2.700000e-06  0.000332  \n",
+       "Fun    0.000164  3.450000e-06  0.000424  \n",
+       "Books -0.000006 -1.200000e-07 -0.000015  \n",
+       "Hshld  0.000099  2.070000e-06  0.000255  \n",
+       "Clths  0.000054  1.140000e-06  0.000140  \n",
+       "Hlth  -0.000129 -2.700000e-06 -0.000332  \n",
+       "MedEq  0.000073  1.530000e-06  0.000188  \n",
+       "Drugs  0.000094  1.980000e-06  0.000244  \n",
+       "Chems  0.000051  1.080000e-06  0.000133  \n",
+       "Rubbr  0.000202  4.230000e-06  0.000520  \n",
+       "Txtls  0.000086  1.800000e-06  0.000221  \n",
+       "BldMt  0.000113  2.370000e-06  0.000292  \n",
+       "Cnstr  0.000044  9.300000e-07  0.000114  \n",
+       "Steel  0.000154  3.240000e-06  0.000399  \n",
+       "FabPr  0.000177  3.720000e-06  0.000458  \n",
+       "Mach   0.000120  2.520000e-06  0.000310  \n",
+       "ElcEq -0.000235 -4.920000e-06 -0.000605  \n",
+       "Autos  0.000050  1.050000e-06  0.000129  \n",
+       "Aero  -0.000011 -2.400000e-07 -0.000030  \n",
+       "Ships  0.000073  1.530000e-06  0.000188  \n",
+       "Guns  -0.000056 -1.170000e-06 -0.000144  \n",
+       "Gold   0.000047  9.900000e-07  0.000122  \n",
+       "Mines  0.000114  2.400000e-06  0.000295  \n",
+       "Coal   0.000345  7.230000e-06  0.000889  \n",
+       "Oil    0.000150  3.150000e-06  0.000387  \n",
+       "Util   0.000029  6.000000e-07  0.000074  \n",
+       "Telcm -0.000112 -2.340000e-06 -0.000288  \n",
+       "PerSv  0.000222  4.650000e-06  0.000572  \n",
+       "BusSv  0.000323  6.780000e-06  0.000834  \n",
+       "Hardw  0.000036  7.500000e-07  0.000092  \n",
+       "Softw  0.000535  1.122000e-05  0.001380  \n",
+       "Chips  0.000099  2.070000e-06  0.000255  \n",
+       "LabEq  0.000136  2.850000e-06  0.000351  \n",
+       "Paper -0.000070 -1.470000e-06 -0.000181  \n",
+       "Boxes  0.000041  8.700000e-07  0.000107  \n",
+       "Trans  0.000116  2.430000e-06  0.000299  \n",
+       "Whlsl  0.000056  1.170000e-06  0.000144  \n",
+       "Rtail  0.000063  1.320000e-06  0.000162  \n",
+       "Meals  0.000242  5.070000e-06  0.000624  \n",
+       "Banks  0.000031  6.600000e-07  0.000081  \n",
+       "Insur  0.000043  9.000000e-07  0.000111  \n",
+       "RlEst  0.000204  4.290000e-06  0.000528  \n",
+       "Fin    0.000004  9.000000e-08  0.000011  \n",
+       "Other  0.000528  1.107000e-05  0.001362  \n",
+       "\n",
+       "[49 rows x 49 columns]"
       ]
      },
-     "execution_count": 176,
+     "execution_count": 107,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "returns.iloc[0].sort_values()"
+    "iewma[times[0]]"
    ]
   }
  ],
diff --git a/tests/generate_nan_data.py b/tests/generate_nan_data.py
new file mode 100755
index 00000000..6b88a98d
--- /dev/null
+++ b/tests/generate_nan_data.py
@@ -0,0 +1,40 @@
+from __future__ import annotations
+
+from pathlib import Path
+
+import numpy as np
+import pandas as pd
+
+from cvx.covariance.ewma import iterated_ewma
+
+# import test data
+resource_dir = Path(__file__).parent / "resources"
+returns = (
+    pd.read_csv(
+        resource_dir / "stock_prices.csv", index_col=0, header=0, parse_dates=True
+    )
+    .ffill()
+    .pct_change()
+    .iloc[1:]
+)
+
+np.random.seed(0)
+mask = np.random.choice([False, True], size=returns.shape, p=[0.9, 0.1])
+returns[mask] = np.nan
+
+
+# Iterated EWWMA covariance prediction
+iewma_pair = (63, 125)
+iewma = list(
+    iterated_ewma(
+        returns,
+        vola_halflife=iewma_pair[0],
+        cov_halflife=iewma_pair[1],
+        min_periods_vola=0,
+        min_periods_cov=0,
+    )
+)
+iewma = {iterate.time: iterate.covariance for iterate in iewma}
+
+covariance = iewma[returns.index[-1]]
+covariance.to_csv(resource_dir / "cov_iewma_nan.csv")
diff --git a/tests/resources/cov_iewma_nan.csv b/tests/resources/cov_iewma_nan.csv
new file mode 100644
index 00000000..13cfd792
--- /dev/null
+++ b/tests/resources/cov_iewma_nan.csv
@@ -0,0 +1,21 @@
+,GOOG,AAPL,FB,BABA,AMZN,GE,AMD,WMT,BAC,GM,T,UAA,SHLD,XOM,RRC,BBY,MA,PFE,JPM,SBUX
+GOOG,0.00020985921592318852,0.00011838057075226193,0.00017792696713259836,0.0001560949176896324,0.00012026539886736705,2.5766589672651498e-05,0.0001351686820823466,4.98056898115446e-05,9.883078210061977e-05,7.553393495173921e-05,2.3047715589351163e-05,8.543488681195858e-05,4.7247435828772855e-05,4.0802424049585376e-05,6.114646913571433e-05,8.142373854975989e-05,0.00012152707405818626,5.604323108668695e-05,6.59447431374906e-05,4.783762880063785e-05
+AAPL,0.00011838057075226193,0.00020215652834031783,0.00012427498239845085,0.00013138507815970018,0.00010462425635439823,9.834343862166e-06,0.00012026713769825135,4.665156926547204e-05,9.381249173342636e-05,7.539780365083079e-05,2.7696761088162e-05,8.279777382237669e-05,0.0001176504539205362,5.322319713706863e-05,8.181904965119525e-05,7.588961304259091e-05,0.00010920821311437371,4.340922668617102e-05,7.228565107848888e-05,5.915148600007788e-05
+FB,0.00017792696713259836,0.00012427498239845085,0.0003365700086397814,0.00019712689298838294,0.0001344312762302147,4.257487851171396e-05,0.00017972056131545695,5.90674333414139e-05,0.00010633051683773015,9.74363312853753e-05,4.2761960902556254e-05,6.119399227567698e-05,2.841955587768414e-05,5.39153253258801e-05,0.0001420503868376097,7.057785695522e-05,0.00014634256329877467,5.710999944080193e-05,6.751062256263641e-05,5.208277777307426e-05
+BABA,0.00015609491768963236,0.00013138507815970018,0.00019712689298838294,0.0004455011670579558,0.00015491095506148944,4.051333382223741e-05,0.0002507626348211181,4.14772931957897e-05,0.00011360925729268415,8.658047782687366e-05,1.0538324500495705e-05,0.00011978885182342451,9.893204706447069e-06,4.203286294300099e-05,0.00011733548915638861,0.00010147613798890492,0.0001477540597717804,5.318549319339331e-05,8.568314956695196e-05,4.6551550427946076e-05
+AMZN,0.00012026539886736703,0.00010462425635439823,0.00013443127623021466,0.00015491095506148944,0.00024861989411932263,1.1482443496682642e-05,0.00017472529411574018,5.037165774280405e-05,7.438277155703284e-05,5.694691452467783e-05,7.528645421145712e-06,8.54410577473459e-05,3.669694726676012e-05,1.8076442178796482e-05,0.0001041290913244343,5.919527460443386e-05,0.00011465998621286477,3.682203051237809e-05,5.293545332393444e-05,5.852000170684743e-05
+GE,2.5766589672651498e-05,9.834343862165998e-06,4.257487851171395e-05,4.051333382223741e-05,1.1482443496682639e-05,0.0003145478137247326,2.3196636261910122e-05,2.8234403653689464e-05,7.833423335377436e-05,7.820288576027049e-05,5.872784546828904e-05,0.0001678096388823638,0.0001853149098280624,3.979729677156131e-05,0.00013596249816578572,2.9559122564882495e-05,1.3747393008969607e-05,4.729670007733723e-05,5.385712725310155e-05,3.8498080347993656e-05
+AMD,0.00013516868208234657,0.0001202671376982514,0.00017972056131545695,0.0002507626348211181,0.00017472529411574018,2.3196636261910122e-05,0.0007752941881097528,6.603035673342564e-05,0.00010362091877945237,0.00011255972069004453,2.43799533579877e-05,0.0001140191182381741,6.536372758757675e-05,4.513865773093705e-05,0.0001574775194985962,3.930385765558349e-05,0.00013401436656808929,5.553773815426631e-05,6.201429616774299e-05,2.400719751904869e-05
+WMT,4.980568981154461e-05,4.665156926547204e-05,5.90674333414139e-05,4.14772931957897e-05,5.037165774280405e-05,2.8234403653689464e-05,6.603035673342567e-05,0.0002555593990623428,5.934541248845163e-05,8.230784625990103e-05,4.620305116637466e-05,7.141558552721267e-05,0.0001819571528451013,2.5736685628277537e-05,7.545748243213687e-05,7.380072258902452e-05,6.755874270072645e-05,5.969454309992636e-05,4.62617124232871e-05,5.013908626426994e-05
+BAC,9.883078210061977e-05,9.381249173342637e-05,0.00010633051683773015,0.00011360925729268415,7.438277155703284e-05,7.833423335377437e-05,0.00010362091877945238,5.934541248845163e-05,0.00022603436237631828,0.00011922803986931482,6.729064202426584e-05,0.00014235491771628193,0.00016823431442366835,4.841138053471816e-05,0.00011296957710300562,0.00011389003234850758,9.047666788274629e-05,7.476953743566573e-05,0.00014245712200116586,5.9156617713695476e-05
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diff --git a/tests/test_combine_certain_times.py b/tests/test_combine_certain_times.py
new file mode 100644
index 00000000..3e030737
--- /dev/null
+++ b/tests/test_combine_certain_times.py
@@ -0,0 +1,36 @@
+from __future__ import annotations
+
+import pandas as pd
+
+from cvx.covariance.combination import from_ewmas
+
+
+def test_covariance_estimator_mean(prices):
+    # Frame of returns
+    returns = prices.pct_change().dropna(axis=0, how="all")
+
+    # Pairs of halflife volatility vs halflife covariances
+    pairs = [(10, 10), (21, 21), (21, 63)]
+
+    combinator = from_ewmas(returns, pairs, clip_at=4.2, min_periods_cov=21)
+    results_full = {
+        result.time: result.weights
+        for result in combinator.solve(window=10)
+        if result is not None
+    }
+
+    # test times
+    times = returns.index[-20:-10]
+    results_test = {
+        result.time: result.weights
+        for result in combinator.solve(window=10, times=times)
+        if result is not None
+    }
+
+    assert list(times) == list(results_test.keys())
+
+    for time in times:
+        pd.testing.assert_series_equal(
+            results_full[time],
+            results_test[time],
+        )
diff --git a/tests/test_from_ewmas.py b/tests/test_from_ewmas.py
index 47577ab1..c4f44eb8 100644
--- a/tests/test_from_ewmas.py
+++ b/tests/test_from_ewmas.py
@@ -57,6 +57,8 @@ def test_covariance_estimator_mean(prices):
         atol=1e-3,
     )
 
+    print(results[pd.Timestamp("2018-04-11")])
+
 
 def test_covariance_estimator_no_clipping(prices):
     # Frame of returns
diff --git a/tests/test_iewma_nans.py b/tests/test_iewma_nans.py
new file mode 100644
index 00000000..b03d98b7
--- /dev/null
+++ b/tests/test_iewma_nans.py
@@ -0,0 +1,51 @@
+from __future__ import annotations
+
+import numpy as np
+import pandas as pd
+import pytest
+
+from cvx.covariance.ewma import iterated_ewma
+
+np.random.seed(0)
+
+
+@pytest.fixture()
+def returns(resource_dir):
+    """
+    prices fixture
+    """
+    returns = (
+        pd.read_csv(
+            resource_dir / "stock_prices.csv", index_col=0, header=0, parse_dates=True
+        )
+        .ffill()
+        .pct_change()
+        .iloc[1:]
+    )
+    np.random.seed(0)
+    mask = np.random.choice([False, True], size=returns.shape, p=[0.9, 0.1])
+    returns[mask] = np.nan
+
+    return returns
+
+
+def test_iewma_nans(returns, resource_dir):
+    iewma_pair = (63, 125)
+    iewma = list(
+        iterated_ewma(
+            returns,
+            vola_halflife=iewma_pair[0],
+            cov_halflife=iewma_pair[1],
+            min_periods_vola=0,
+            min_periods_cov=0,
+            nan_to_num=True,
+        )
+    )
+    iewma = {iterate.time: iterate.covariance for iterate in iewma}
+
+    covariance = iewma[returns.index[-1]]
+    covariance_reference = pd.read_csv(
+        resource_dir / "cov_iewma_nan.csv", index_col=0, header=0
+    )
+
+    pd.testing.assert_frame_equal(covariance, covariance_reference)