HQuantLib, financial math in Haskell
Haskell
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.hgignore Initial commit of first part of HQuantLib Mar 24, 2011
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Setup.hs
hquantlib.cabal
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readme.md

HQuantLib

HQuantLib is intended to be a port of QuantLib in Haskell. It is not one-to-one port of the library but rather it is a re-implementation of ideas leveraging current libraries available in Haskell Platform.

The latest version implements:

  1. Currencies (major only)
  2. Time: Thirty360 DayCounter
  3. Base 1D stochastic processes: Geometric Brownian, generic Ito process, square-root, Ornstein-Uhlenbeck, generalized Black-Scholes
  4. Instruments: Bonds and Stocks
  5. Monte Carlo engine for 1D processes
  6. Volatility estimators: simple local estimator, Garman-Klass simple sigma and Parkinson sigma.
  7. Copulas : Clayton, Max, Min, Ali-Mikhail-Haq and Farlie-Gumbel-Morgenstern