QuantLib-SWIG
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Expose Libor Market Model and BGM-Model in Python
Currently the LMM and BGM model classes are in the C++ repo but are not exposed to Python. It would be nice to have them also exposed to Python.
This is the minimum set of classes that would be useful to have exposed:
Base classes (3):
- EvolutionDescription class, in marketmodel.hpp and in evolutiondescription.hpp
- MarketModel, marketmodel.hpp
- MarketModelFactory, marketmodel.hpp
Brownian generator classes (5):
- Browniangenerator & BrownianGeneratorFactory, browniangenerator.hpp
- MTBrownianGenerator & MTBrownianGeneratorFactory, browniangenerators/mtbrowniangenerator.hpp
- SobolBrownianGenerator & SobolBrownianGeneratorFactory, browniangenerators/sobolbrowniangenerator.hpp
Correlation classes (2):
- PiecewiseConstantCorrelation,correlations/piecewiseconstatcorrelation.hpp
- ExponentialForwardCorrelation, correlations/expcorrelations.hpp
Curve state classes (2):
- CurveState, curvestate.hpp
- LMMCurveState, curvestates/lmmcurvestate.hpp
Drift calculation classes (1):
- LMMDriftCalculator, driftcomputation/lmmdriftcalculator.hpp
Evolvers (2):
- MarketModelEvolver, evolver.hpp
- LogNormalFwdRateIpc, evolvers/lognormalfwdrateipc.hpp
Models (1):
- AbcdVol, models/abcdvol.hpp
Helpers / utility (2):
- AbcdMathFunction, from ql/math/abcdmathfunction.hpp
- AbcdFunction, from ql/termstructures/volatility/abcd.hpp
Thanks a lot!
Thanks for posting! It might take a while before we look at your issue, so don't worry if there seems to be no feedback. We'll get to it.
I see that the issue was removed from Release 1.28. Do you think it will be scheduled in the future? Thank you.
I didn't manage to work on this in time for the 1.28 release. I'll try again for 1.29.
Done in #514.