A no-arbitrage approach to range-based estimation of return covariances and correlations

We extend the important idea of range-based volatility estimation to the multivariate case. In particular, we propose a range-based covariance estimator that is motivated by financial economic considerations (the absence
We extend the important idea of range-based volatility estimation to the multivariate case. In particular, we propose a range-based covariance estimator that is motivated by financial economic considerations (the absence of arbitrage), in addition to statistical considerations. We show that, unlike other univariate and multivariate volatility estimators, the range-based estimator is highly efficient yet robust to market microstructure noise arising from bid-ask bounce and asynchronous trading. Finally, we provide an empirical example illustrating the value of the high-frequency sample path information contained in the range-based estimates in a multivariate GARCH framework.
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Metadaten
Author:Michael W. Brandt, Francis X. Diebold
URN:urn:nbn:de:hebis:30-10599
Parent Title (German):Center for Financial Studies (Frankfurt am Main): CFS working paper series ; No. 2004,07
Series (Serial Number):CFS working paper series (2004, 07)
Document Type:Working Paper
Language:English
Year of Completion:2004
Year of first Publication:2004
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2005/06/13
Tag:Range-based estimation; absence of arbitrage; correlation; covariance; exchange rates; volatility
SWD-Keyword:Kapitalertrag; Schätztheorie; Theorie
Issue:This Draft: March 2002
Note:
First Draft: September 2001. This Draft: March 2002.
HeBIS PPN:224268015
Institutes:Center for Financial Studies (CFS)
Dewey Decimal Classification:330 Wirtschaft
Sammlungen:Universitätspublikationen
Licence (German):License Logo Veröffentlichungsvertrag für Publikationen

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