The Markov switching ACD model
- We propose a new framework for modelling time dependence in duration processes on financial markets. The well known autoregressive conditional duration (ACD) approach introduced by Engle and Russell (1998) will be extended in a way that allows the conditional expectation of the duration process to depend on an unobservable stochastic process, which is modelled via a Markov chain. The Markov switching ACD model (MSACD) is a very flexible tool for description and forecasting of financial duration processes. In addition the introduction of an unobservable, discrete valued regime variable can be justified in the light of recent market microstructure theories. In an empirical application we show, that the MSACD approach is able to capture several specific characteristics of inter trade durations while alternative ACD models fail. Furthermore, we use the MSACD to test implications of a sequential trade model.
| Verfasserangaben: | Reinhard HujerGND, Sandra Vuletić, Stefan Kokot |
|---|---|
| URN: | urn:nbn:de:hebis:30-18308 |
| Titel des übergeordneten Werkes (Englisch): | Universität Frankfurt am Main. Fachbereich Wirtschaftswissenschaften: [Working paper series / Finance and accounting] Working paper series, Finance & Accounting ; No. 90 |
| Schriftenreihe (Bandnummer): | Working paper series / Johann-Wolfgang-Goethe-Universität Frankfurt am Main, Fachbereich Wirtschaftswissenschaften : Finance & Accounting (90) |
| Verlag: | Univ., Fachbereich Wirtschaftswiss. |
| Verlagsort: | Frankfurt am Main |
| Dokumentart: | Arbeitspapier |
| Sprache: | Englisch |
| Jahr der Fertigstellung: | 2002 |
| Jahr der Erstveröffentlichung: | 2002 |
| Veröffentlichende Institution: | Universitätsbibliothek Johann Christian Senckenberg |
| Datum der Freischaltung: | 10.10.2005 |
| Freies Schlagwort / Tag: | EM algorithm; Markov switching models; autoregressive conditional duration models; financial transaction data; finite mixture distributions; market microstructure theory; nonlinear time series models |
| GND-Schlagwort: | Exponential smoothing; Zeitreihenanalyse; Verweildauer; ARCH-Prozess; GARCH-Prozess; Markov-Prozess; Wertpapierhandel; Wertpapiermarkt; Mikrostrukturtheorie <Kapitalmarkttheorie>; Schätzung |
| Ausgabe / Heft: | April 2002 |
| Seitenzahl: | 45 |
| HeBIS-PPN: | 20178484X |
| Institute: | Wirtschaftswissenschaften / Wirtschaftswissenschaften |
| DDC-Klassifikation: | 3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft |
| JEL-Klassifikation: | C Mathematical and Quantitative Methods / C2 Single Equation Models; Single Variables / C22 Time-Series Models; Dynamic Quantile Regressions (Updated!) |
| C Mathematical and Quantitative Methods / C2 Single Equation Models; Single Variables / C25 Discrete Regression and Qualitative Choice Models; Discrete Regressors (Updated!) | |
| C Mathematical and Quantitative Methods / C4 Econometric and Statistical Methods: Special Topics / C41 Duration Analysis | |
| Lizenz (Deutsch): |  Deutsches Urheberrecht |
