Historical VaR, CVaR and ES (Expected Shortfall) to LIQUIDATION Software is a model characterized by its straightforwardness, allowing regulators measure risk using a standard database of primitive factors and portfolio positions only, leaving little error margin in comparing market risk for...

Many methods exist for assessing and managing the risk of a portfolio. This article is about risk metrics and the ways investment consultants commonly apply these measurements to portfolio selection and evaluation. Two popular approaches to risk measurement and evaluation are compared: the...

This paper mainly focuses on the correlation between live hedge funds return and their value at risk (VaR), which is based on the historical data from May 2000 to April 2010. The authors adopt portfolio level analyses and fund level cross-sectional regression, and find that there is significant...

I present desirable features for a risk metric, incorporating the coherent risk framework and empirical features of markets. I argue that a desirable risk metric is one that is coherent and focused on measuring tail losses, which significantly affect investment performance. I evaluate 5 risk...

This paper focuses on the attitude of non-professional investors towards financial losses and their decisions on wealth allocation, and how these change subject to behavioral factors. Our contribution concerns the integration of behavioral elements into the classic portfolio optimization....

Over the last decade, institutional investors have posted some of the best long-term returns on record. Is it wise for investors to extrapolate these gains into the future, or is now a good time to consider downside protection? In this paper we analyze the current market risks and how tail risk...

We propose a novel measure of the ex-ante commodity downside-risk premium (CDP) for each commodity based on a term structure model of commodity futures. Our theory-based CDP, capturing forward-looking information in the futures markets, outperforms well-known characteristics in explaining the...

An intensive and still growing body of research focuses on estimating a portfolio’s Value-at-Risk.Depending on both the degree of non-linearity of the instruments comprised in the portfolio and thewillingness to make restrictive assumptions on the underlying statistical distributions, a...

This paper studies the tail risk of US equity markets in advance of the COVID-19 outbreak in February 2020, providing evidence that financial markets are informative about pandemic risk well in advance of the actual outbreak. Specifically, while the tail risk of the market index did not respond...

We forecast monthly Value at Risk (VaR) and Conditional Value at Risk (CVaR) using option market data and four different econometric techniques. Independently from the econometric approach used, all models produce quick to estimate forward-looking risk measures that do not depend from the amount...