This paper proposes a new way of modeling and forecasting intraday returns. We decompose the volatility of high frequency asset returns into components that may be easily interpreted and estimated. The conditional variance is expressed as a product of daily, diurnal and sto-chastic intraday...

This paper proposes a new intraday volatility forecasting model, particularly suitable for modeling a large number of assets. We decompose volatility of high-frequency returns into components that may be easily interpreted and estimated. The conditional variance is a product of daily, diurnal,...

Value at Risk has become the standard measure of market risk employed by financial institutions for both internal and regulatory purposes. Despite its conceptual simplicity, its measurement is a challenging statistical problem and none of the methodologies developed so far gives a satisfactory...

Volatility and Time Series Econometrics: Essays in Honor of Robert F. .Engle Edited by Tim Bollerslev, Jeffrey R. Russell, and Mark W. Watson OXFORD UNIVERSITY PRESS ...