Quantitative Financial Risk Management (qfrm) is a set of analytical tools to measure, manage, and visualize identified risks of financial derivatives and portfolios.
qfrm can price a variety of vanilla and exotic options using Black-Scholes, Lattice, Finite Difference, and Monte Carlo models.
| Option Name | Black-Scholes | Lattice | Monte Carlo | Finite Difference |
|---|---|---|---|---|
| Example | ✅ (supported) | ❌ (not supported) | - (not applicable) | |
| American | ✅ | ✅ | ✅ | ❌ |
| Asian | ✅ | ✅ | ✅ | ✅ |
| Barrier | ✅ | ✅ | ✅ | ❌ |
| Basket | ❌ | ✅ | ✅ | ❌ |
| Bermudan | ❌ | ✅ | ✅ | ❌ |
| Binary | ✅ | ✅ | ❌ | ✅ |
| Boston | ❌ | ✅ | ❌ | ❌ |
| Chooser | ✅ | ✅ | ✅ | ✅ |
| Compound | ✅ | ✅ | ❌ | ✅ |
| ContingentPremium | ✅ | ✅ | ✅ | ✅ |
| European | ✅ | ✅ | ✅ | ❌ |
| Exchange | ✅ | ✅ | ✅ | ✅ |
| ForwardStart | ✅ | ✅ | ✅ | ✅ |
| Gap | ✅ | ✅ | ✅ | ✅ |
| Ladder | ❌ | ❌ | ✅ | ✅ |
| Lookback | ✅ | ✅ | ❌ | ✅ |
| LowExercisePrice | ✅ | ✅ | ✅ | ✅ |
| PerpetualAmerican | ✅ | ❌ | ❌ | ❌ |
| Quanto | ✅ | ✅ | ✅ | ❌ |
| Rainbow | ❌ | ❌ | ✅ | ❌ |
| Shout | ✅ | ✅ | ✅ | ✅ |
| Spread | ✅ | ✅ | ✅ | ❌ |
| VarianceSwap | ✅ | ❌ | ❌ | ❌ |
To install from PyPI using pip:
pip install qfrm
TODO
This project was created by undergraduate and graduate students at Rice University for the Fall 2015 QFRM course taught by Oleg Melnikov.
A QFRM package for R was also created during the Spring 2015 QFRM course.
The QFRM course is part of Rice University's Center for Computational Finance and Economic Systems (CoFES) Financial Computation and Modeling (FCAM) Minor for undergraduate study, led by Dr. Katherine Ensor.
Original contributors to this project:
- Oleg Melnikov
- Thaw Da Aung
- Yen-Fei Chen
- Patrick Granahan
- Hanting Li
- Sha (Andy) Liao
- Scott Morgan
- Andrew M. Weatherly
- Mengyan Xie
- Tianyi Yao
- Runmin Zhang
See contributors for a full list of contributors. Thank you to all contributors!
TBD
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent