Quantile methods for complex financial systems

This project aims to provide innovative techniques to estimate and predict moderate and extreme tail risk in complex financial systems more effectively. This is of key interest to both market participants and also prudential supervisors. The focus on econometric methodologies for conditional quantiles and expectiles is directly related to the Value-at-Risk (VaR) concept of risk measurement, however, all approaches presented are readily extendible to further risk measures such as, expected shortfall.