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I found out that ndarray output only contained the very first tenor(3M tenor), may I ask how I can get the whole term tenors generated rates, like 9M, 1Y, 2Y, 3Y,....
The text was updated successfully, but these errors were encountered:
I search all document in the repository, and I found out that the if I use fitted curve, like below:
tenor_rates = [('3M', 0.0151, 0.01),
('6M', 0.0152, 0.01),
('9M', 0.0153, 0.01),
('1Y', 0.0154, 0.01),
('2Y', 0.0155, 0.01),
('3Y', 0.0156, 0.01),
('4Y', 0.0157, 0.01),
('5Y', 0.0158, 0.01),
('7Y', 0.0159, 0.01),
('10Y', 0.0160, 0.01),
('15Y', 0.0161, 0.01),
('20Y', 0.0162, 0.01)]
models = [hw1f]
corrMatrix = mx.IdentityMatrix(len(models))
timegrid1 = mx.TimeDateGrid_Equal(refDate=ref_date, maxYear=3, nPerYear=1)
results2 = xen.generate(models=models, calcs=None, corr=corrMatrix, timegrid=timegrid1,
rsg=sobol_rsg, filename=filename2, isMomentMatching=False)
ndarray = results2.toNumpyArr()
I found out that ndarray output only contained the very first tenor(3M tenor), may I ask how I can get the whole term tenors generated rates, like 9M, 1Y, 2Y, 3Y,....
The text was updated successfully, but these errors were encountered: