Entropy Pooling views and stress-testing combined with Conditional Value-at-Risk (CVaR) portfolio optimization in Python.
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Updated
Nov 7, 2024 - Python
Entropy Pooling views and stress-testing combined with Conditional Value-at-Risk (CVaR) portfolio optimization in Python.
Entropy Pooling in Python with a BSD 3-Clause license.
Application to finance
One-week side project to play around stochastic optimization (how to take *good* decisions under uncertainty)
Essential techniques to assess financial risks
Provides a concrete Julia implementation for computing the conditional value-at-risk (aka expected shortfall) for discrete probability distributions. Also works as a pseudocode for other languages.
Stress Testing Financial Portfolios using S&P 500 Stock Data from Kaggle.
A Stochastic Primal-Dual Proximal Splitting Method for Risk-Averse Optimal Control of PDEs
Using Monte Carlo Simulations to calculate the Value at Risk (VaR) and Conditional Value at Risk (CVaR) for a tech-heavy portfolio in stocks.
Monte Carlo Value-at-Risk | Conditional Value-at-Risk
Financial Risk with Python
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