has implications for the estimation of economic models of energy-intensive durables, for oil price forecasting, and for …

describe the most typical features of capital markets like volatility clustering, excess kurtosis and fat tails. As empirical … evidence shows asymmetry is also a prominent feature of stock market returns volatility. The reaction of risk if stock returns …

estimation windows. It develops theoretical results for random walks when their drift and/or volatility are subject to one or …This paper considers forecast averaging when the same model is used but estimation is carried out over different … more structural breaks. It is shown that compared to using forecasts based on a single estimation window, averaging over …

This paper considers the problem of model uncertainty in the case of multi-asset volatility models and discusses the … management. Evaluation of volatility models is then considered and a simple Value-at-Risk (VaR) diagnostic test is proposed for …

return correlations using weekly returns on futures markets and investigate the extent to which multivariate volatility …

A growing literature uses changes in residual volatility for identifying structural shocks in vector autoregressive … in applications in this context. This study reviews the different volatility models and points out their advantages and …

ten sectoral indices over the period January 1997-Febraury 2014. The estimation of a bivariate VAR-GARCH-in-mean model … suggests that oil price volatility affects stock returns positively during periods characterised by demand-side shocks in all …