Arbeitspapier

Trading volume and the short and long-run components of volatility

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 Iikelihood 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 com-ponent of volatility, and contains only little information about the high persistent volatility component.

Sprache
Englisch

Erschienen in
Series: Tübinger Diskussionsbeiträge ; No. 102

Klassifikation
Wirtschaft
Statistical Simulation Methods: General
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Thema
Volatility persistence
Bivariate mixture model
Long memory
Latent dynamic variables
Simulated maximum Iikelihood
Kapitaleinkommen
Volatilität
Aktienmarkt
Absatz
Informationswert
Schätzung
Theorie
Deutschland

Ereignis
Geistige Schöpfung
(wer)
Liesenfeld, Roman
Ereignis
Veröffentlichung
(wer)
Eberhard Karls Universität Tübingen, Wirtschaftswissenschaftliche Fakultät
(wo)
Tübingen
(wann)
1997

Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Liesenfeld, Roman
  • Eberhard Karls Universität Tübingen, Wirtschaftswissenschaftliche Fakultät

Entstanden

  • 1997

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