Stochastic Volatility, Trading Volume, and the Daily Flow of Information
AbstractWe use state-space methods to investigate the relation between volume, volatility, and ARCH effects within a mixture of distributions hypothesis (MDH) framework. Most recent studies of the MDH fit AR(1) specifications that require the information flow to be highly persistent. Using a more general specification, we find evidence of a large nonpersistent component of volatility that is closely related to the contemporaneous nonpersistent component of volume. However, in contrast to studies that fit volume-augmented GARCH models, we find no evidence that volume subsumes ARCH effects. Since volume-augmented GARCH models are subject to simultaneity bias, our findings should be more robust than these prior results.
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Bibliographic InfoArticle provided by University of Chicago Press in its journal Journal of Business.
Volume (Year): 79 (2006)
Issue (Month): 3 (May)
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