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Releases: jialuechen/torchquant

Minor adjustments

10 Oct 17:52
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v1.3.1

preparing for next release

add support for optimal transport

09 Oct 19:00
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v1.3.0

update README.md

Release v1.0.1

13 Aug 07:07
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Update README.md

Release 1.0.0

21 Jul 01:27
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  • Initial release of QuanTorch.
  • Core modules for asset pricing, risk management, and model calibration.
  • Support for various option pricing models including Black-Scholes-Merton, binomial tree, and Monte Carlo simulations.
  • Bond pricing models including zero-coupon, coupon, callable, putable, and convertible bonds.
  • Advanced options support including American, Bermudan, Asian, and barrier options.
  • Greeks calculation using Malliavin calculus.
  • Calibration for stochastic models like Heston and Vasicek.
  • Scenario analysis, market risk measures (VaR, Expected Shortfall), and valuation adjustments (CVA, DVA, MVA, FVA).
  • Implementation of local volatility models like Dupire.
  • Machine learning examples using PyTorch for regression and reinforcement learning.
  • Extensive unit tests for all core functionalities.

v0.0.1

16 Jul 03:56
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v0.0.1 Pre-release
Pre-release
update python version