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Leverage and Volatility Feedback Effects in High-Frequency Data

Leverage and Volatility Feedback Effects in High-Frequency Data We examine the relationship between volatility and past and future returns using high-frequency aggregate equity index data. Consistent with a prolonged “leverage” effect, we find the correlations between absolute high-frequency returns and current and past high-frequency returns to be significantly negative for several days, whereas the reverse cross-correlations are generally negligible. We also find that high-frequency data may be used in more accurately assessing volatility asymmetries over longer daily return horizons. Furthermore, our analysis of several popular continuous-time stochastic volatility models clearly points to the importance of allowing for multiple latent volatility factors for satisfactorily describing the observed volatility asymmetries. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Financial Econometrics Oxford University Press

Leverage and Volatility Feedback Effects in High-Frequency Data

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Publisher
Oxford University Press
Copyright
© Published by Oxford University Press.
ISSN
1479-8409
eISSN
1479-8417
DOI
10.1093/jjfinec/nbj014
Publisher site
See Article on Publisher Site

Abstract

We examine the relationship between volatility and past and future returns using high-frequency aggregate equity index data. Consistent with a prolonged “leverage” effect, we find the correlations between absolute high-frequency returns and current and past high-frequency returns to be significantly negative for several days, whereas the reverse cross-correlations are generally negligible. We also find that high-frequency data may be used in more accurately assessing volatility asymmetries over longer daily return horizons. Furthermore, our analysis of several popular continuous-time stochastic volatility models clearly points to the importance of allowing for multiple latent volatility factors for satisfactorily describing the observed volatility asymmetries.

Journal

Journal of Financial EconometricsOxford University Press

Published: May 16, 2006

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