Modelling volatilities and conditional correlations in futures markets with a multivariate t distribution

Arbeitspapier

This paper considers a multivariate t version of the Gaussian dynamic conditional correlation (DCC) model proposed by Engle (2002), and suggests the use of devolatized returns computed as returns standardized by realized volatilities rather than by GARCH type volatility estimates. The t-DCC estimation procedure is applied to a portfolio of daily returns on currency futures, government bonds and equity index futures. The results strongly reject the normal-DCC model in favour of a t-DCC specification. The t-DCC model also passes a number of VaR diagnostic tests over an evaluation sample. The estimation results suggest a general trend towards a lower level of return volatility, accompanied by a rising trend in conditional cross correlations in most markets; possibly reflecting the advent of euro in 1999 and increased interdependence of financial markets.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: CESifo Working Paper ; No. 2056

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Model Construction and Estimation ; Model Evaluation, Validation, and Selection ; Portfolio Choice; Investment Decisions
• Thema: Devisentermingeschäft ; Financial Futures ; Volatilität ; Korrelation ; Multivariate Analyse ; Statistische Verteilung ; VAR-Modell ; Theorie ; Schätzung ; EU-Staaten

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Pesaran, Bahram ; Pesaran, Mohammad Hashem
• Ereignis: Veröffentlichung
• (wer): Center for Economic Studies and ifo Institute (CESifo)
• (wo): Munich
• (wann): 2007

Weitere Informationen

• Handle: http://hdl.handle.net/10419/26101
• Letzte Aktualisierung: 10.03.2025, 11:41 MEZ