Purpose – The paper aims to model multiple-period market risk forecasts under long memory persistence in market volatility. Design/methodology/approach – The paper proposes volatility forecasts based on a combination of the GARCH(1,1)-model with potentially fat-tailed and skewed innovations...

Purpose – The paper aims to model multiple-period market risk forecasts under long memory persistence in market volatility. Design/methodology/approach – The paper proposes volatility forecasts based on a combination of the GARCH(1,1)-model with potentially fat-tailed and skewed innovations...

This paper addresses market risk prediction for high frequency foreign exchange rates under nonlinear risk scaling behaviour. We use a modified version of the multifractal model of asset returns (MMAR) where trading time is represented by the series of volume ticks. Our dataset consists of...

We study the lead–lag dependence between aggregate credit spreads and equity prices as well as implied equity volatility, which is important for proper credit risk assessment. Our analysis includes daily quotes of the iTraxx Europe index, the Dow Jones Euro Stoxx 50 index, and the Dow Jones...

We propose and test novel multifactor models of daily mutual fund performance. To this aim, we set up equity style indices and derive risk factors, which nest the established Fama and French (1992) and Carhart (1997) factors. We add two additional risk factors, namely idiosyncratic risk and...

We examine risk factors that explain daily changes in aggregate credit default swap (CDS) spreads before, during and after the 2007–2009 financial crisis. Based on the European iTraxx CDS index universe, we document time-variation in the significance of spread determinants. Before and after...