to underestimate risk measures such as volatility (i.e. standard deviation). In order to encompass for such serial … random walk model with time varying parameters is largely used in the risk industry for Value-at-Risk4 purposes. Its main …

making and risk management. Over the past three decades there has been a trend towards increased asset return correlations … models proposed in the literature can be used to formally characterize and quantify market risk. In particular, we ask how … adequate these models are for modelling market risk at times of financial crisis. In doing so we consider a multivariate t …

This paper decomposes the risk premia of individual stocks into contributions from systematic and idiosyncratic risks … the variance of idiosyncratic returns. The estimation is performed on a time series of returns and option prices from 2006 … 80% of the equity and variance risk premia, respectively. I provide a categorization of sectors based on the risk profile …

using historical data on European financial stocks that forecasts portfolio Value at Risk (VaR) and Expected Shortfall (ES). …

We implement a long-horizon static and dynamic portfolio allocation involving a risk-free and a risky asset. This model …

the pricing of common equity risk factors …

The relationship between risk and expected returns has been investigated extensively in the financial economics … with time-varying asymmetry, linked to the upside and downside uncertainty, the risk-return puzzle is investigated across … skewness on the total price of risk. That is, in the absence of skewness the relationship between risk and return is positive …