risk-modeling-guide

Installation
SKILL.md

Risk Modeling Guide

A skill for quantitative financial risk modeling, covering Value at Risk, Expected Shortfall, credit risk, stress testing, and Monte Carlo simulation methods. Essential for financial engineering research and regulatory risk analysis.

Market Risk: Value at Risk

VaR Methodologies

Method Description Pros Cons
Historical simulation Replay past returns No distributional assumption Assumes past repeats
Variance-covariance Assume normal returns Fast, analytical Underestimates tail risk
Monte Carlo simulation Simulate from fitted model Flexible distributions Computationally expensive
Filtered historical simulation GARCH + historical innovations Captures volatility clustering More complex

Implementation

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Apr 13, 2026
risk-modeling-guide — wentorai/research-plugins