Skip to content

Latest commit

 

History

History
20 lines (10 loc) · 477 Bytes

README.md

File metadata and controls

20 lines (10 loc) · 477 Bytes

VaR, CVaR - Value at Risk, Expected shortfall

This small project is about computing value at risk using different methods such as :

  • Exponentially weighted moving average

  • GARCH

  • Historically simulation

  • Monte Carlo simulation

  • Exteme value theory

  • Copulas

The computation have been backtested against several equity indices and foreign exchanges.

The code is written in C++ and relies on Boost and Eigen libraries. It has been compiled using GNU compiler.