Portfolio level (un)conditional risk measure estimation for backtesting using Vine Copula and ARMA-GARCH models.

Expected Shortfall Backtesting

R Finance packages not listed in the Empirical Finance Task View

Manuel Touyaa's porfotlio of Python projects/assignments for Finance Market Risk.

[R] Statistical analysis of financial data conducted in R

Comparisons of financial metrics (e.g. VaR vs CVaR/ES, simple vs log returns, etc.).

R package providing functions for computing Expected shortfall (ES) and Value at risk (VaR)

A package for evaluating tail probabilities and partial moments for random vectors in multivariate generalized hyperbolic random vectors.

A library for the calculation of tail risk measures

Essential techniques to assess financial risks

This repository consits of: projects and homeworks connected with research area such as Risk Management.

Code for the case studies and theoretical visualizations for the master thesis 'Estimation and Backtesting of the Expected Shortfall and Value at Risk using Vine Copulas'

Backtesting my current US stocks portfolio

Curso ministrado por mim na Financial Risk Academy (FRA) sobre Introdução ao Risco de Mercado com Python

The goal of esreg is to simultaneously model the quantile and the expected shortfall of a response variable given a set of covariates.

Repository represents python usability of measuring and managing risks (practice tasks and real cases)

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.

The purpose of investments is to obtain a profit. One type of investments that can be done is stock investment. Investors can diversify the stocks to reduce the risk of an investment. Stock diversification is done by combining several stocks and then forming a portfolio.

Nonparametric methods concerning to expected shortfall

R package for nonparametric estimation of CES