A simple two-component model for the distribution of intraday returns

Laura Coroneo and David Veredas

ULB Institutional Repository from ULB -- Universite Libre de Bruxelles

Abstract: We model the conditional distribution of high-frequency financial returns by means of a two-component quantile regression model. Using three years of 30 minute returns, we show that the conditional distribution depends on past returns and on the time of the day. Two practical applications illustrate the usefulness of the model. First, we provide quantile-based measures of conditional volatility, asymmetry and kurtosis that do not depend on the existence of moments. We find seasonal patterns and time dependencies beyond volatility. Second, we estimate and forecast intraday Value at Risk. The two-component model is able to provide good-risk assessments and to outperform GARCH-based Value at Risk evaluations. © 2012 Copyright Taylor and Francis Group, LLC.

Keywords: intraday returns; intraday VaR; quantile regression (search for similar items in EconPapers)
Date: 2012
Note: SCOPUS: ar.j
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Citations: View citations in EconPapers (5)

Published in: European journal of finance (2012) v.18 n° 9,p.775-797

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