Capturing common components in high-frequency financial time series : a multivariate stochastic multiplicative error model

  • We introduce a multivariate multiplicative error model which is driven by componentspecific observation driven dynamics as well as a common latent autoregressive factor. The model is designed to explicitly account for (information driven) common factor dynamics as well as idiosyncratic effects in the processes of high-frequency return volatilities, trade sizes and trading intensities. The model is estimated by simulated maximum likelihood using efficient importance sampling. Analyzing five minutes data from four liquid stocks traded at the New York Stock Exchange, we find that volatilities, volumes and intensities are driven by idiosyncratic dynamics as well as a highly persistent common factor capturing most causal relations and cross-dependencies between the individual variables. This confirms economic theory and suggests more parsimonious specifications of high-dimensional trading processes. It turns out that common shocks affect the return volatility and the trading volume rather than the trading intensity. JEL Classification: C15, C32, C52

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Metadaten
Verfasserangaben:Nikolaus HautschORCiDGND
URN:urn:nbn:de:hebis:30-50965
Titel des übergeordneten Werkes (Deutsch):Center for Financial Studies (Frankfurt am Main): CFS working paper series ; No. 2007,25
Schriftenreihe (Bandnummer):CFS working paper series (2007, 25)
Dokumentart:Arbeitspapier
Sprache:Englisch
Jahr der Fertigstellung:2007
Jahr der Erstveröffentlichung:2007
Veröffentlichende Institution:Universitätsbibliothek Johann Christian Senckenberg
Datum der Freischaltung:02.11.2007
Freies Schlagwort / Tag:Common Factor; Efficient Importance Sampling; Intraday Trading Process; Multiplicative Error Models
Ausgabe / Heft:July 2007
Seitenzahl:47
Bemerkung:
Acknowledgements: Earlier versions of this paper have been presented at the EC2 conference 2003 in London, at the International Conference on Finance in Copenhagen, 2005, the 2005 Arne Ryde Workshop in Financial Economics in Lund, the International Conference on High Frequency Finance in Konstanz, 2006, the 2006 meeting of the European Econometric Society in Vienna as well as the 2006 meeting of the German Economic Association in Bayreuth. For valuable comments we would like to thank Torben G. Andersen, Luc Bauwens, Tim Bollerslev, Robert F. Engle, Timo Ter¨asvirta, Winfried Pohlmeier as well as the seminar participants at the Stockholm School of Economics and the Universit´e Libre de Bruxelles.
HeBIS-PPN:194619532
Institute:Wissenschaftliche Zentren und koordinierte Programme / Center for Financial Studies (CFS)
DDC-Klassifikation:3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
Lizenz (Deutsch):License LogoDeutsches Urheberrecht