cmf-team / importance-sampling-2022
Creating, training and backtesting of VaR and ES models based on Importance Sampling
☆11Updated last year
Alternatives and similar repositories for importance-sampling-2022:
Users that are interested in importance-sampling-2022 are comparing it to the libraries listed below
- Repo for Crypto Option Calibration project in CMF☆12Updated 2 years ago
- ☆14Updated 3 years ago
- Functions for the construction of risk-based portfolios☆51Updated 3 years ago
- Implied volatility surface interpolation with shape-constrained bayesian neural network.☆15Updated 3 years ago
- Unbiased SABR model simulation in the manner of Bin Chen, Cornelis W. Oosterlee and Hans van der Weide☆7Updated 6 years ago
- Price options analytically given stock price characteristic function☆15Updated 9 years ago
- Scalable implementation of Lee / Mykland (2012), Ait-Sahalia / Jacod (2012) and Ait-Sahalia / Jacod / Li (2012) Jump tests for noisy hig…☆14Updated 3 years ago
- Loose collection of Jupyter notebooks, mostly for my blog☆29Updated 3 months ago
- This project is a Python demonstrator for the stochastic grid bundling method (SGBM) to solve backward stochastic differential equations …☆12Updated 6 years ago
- Derivation of analytical expressions of optimal quotes for market making in options.☆16Updated 2 years ago
- Statistical tests for Value at Risk (VaR) Models.☆14Updated last year
- Yield curve Interpolation using cubic spline and nelson Seigel model☆15Updated 5 years ago
- Bayer, Friz, Gassiat, Martin, Stemper (2017). A regularity structure for finance.☆10Updated 7 years ago
- ☆20Updated 2 years ago
- Entropy Pooling in Python with a BSD 3-Clause license.☆38Updated 4 months ago
- Calibration and pricing options in Heston model☆12Updated 7 years ago
- Ledoit-Wolf covariance matrix estimator of stock returns☆42Updated 5 years ago
- QuantMinds Rough Volatility Workshop lectures☆30Updated 3 months ago
- Construction of local volatility surface by using SABR☆28Updated 7 years ago
- Multivariate GARCH modelling in Python☆16Updated 4 months ago
- Script to fit the Heston-Nandi GARCH(1,1) model. Includes MLE of parameters, future path simulation, Monte Carlo simulation for option pr…☆12Updated 3 years ago
- Implementation of a variety of Value-at-Risk backtests☆36Updated 5 years ago
- Inspired by Hillebrand & Medeiros (2009) and Corsi (2009), I put neural networks in a High frequency environment, and tested the performa…☆18Updated 4 years ago
- Repository attached to the paper with the same name.☆21Updated 3 years ago
- Covariance Matrix Estimation via Factor Models☆33Updated 5 years ago
- ☆19Updated 6 years ago
- Code repository for demos of the article 'Arbitrage-Free Implied Volatility Surface Generation with Variational Autoencoders'.☆30Updated last year
- A dynamic factor model to forecasts inflation, i.e. CPI, PPI. WindAPI is required to extract vintages.☆13Updated 4 years ago
- This project implements the following models to value options in Python: 1. Black-Scholes model 2. Bachelier model 3. Black76 model 4. Di…☆16Updated 6 years ago