Trading Volume and the Short and Long-Run Components of Volatility

Posted: 8 Jan 1998

See all articles by Roman Liesenfeld

Roman Liesenfeld

University of Cologne, Department of Economics

Date Written: November 2, 1997

Abstract

This paper investigates the information content of daily trading volume with respect to the long-run or high persistent and the short-run or transitory components of the volatility of daily stock market returns using bivariate mixture models. For this purpose, the standard bivariate mixture model of Tauchen and Pitts (1983) in which volatility and volume are directed by one latent process of information arrivals is generalized to the extent that two types of information processes each endowed with their own dynamic behavior are allowed to direct volatility and volume. Since the latent information processes are assumed to be autocorrelated which makes standard estimation methods infeasible, a simulated maximum likelihood approach is applied to estimate the mixture models. The results based on German stock market data reveal that volume mainly provides information about the transitory component of volatility, and contains only little information about the high persistent volatility component.

JEL Classification: C15, C32

Suggested Citation

Liesenfeld, Roman, Trading Volume and the Short and Long-Run Components of Volatility (November 2, 1997). Available at SSRN: https://ssrn.com/abstract=51847

Roman Liesenfeld (Contact Author)

University of Cologne, Department of Economics ( email )

Albertus-Magnus-Platz
D-50931 Köln
Germany

Here is the Coronavirus
related research on SSRN

Paper statistics

Abstract Views
800
PlumX Metrics