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Modelling time-varying correlations of financial markets Author info | Abstract | Publisher info | Download info | Related research | Statistics A.S.K. Wong
P.J.G. Vlaar
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In this report we examine time-varying correlations of asset returns using the Dynamic Conditional Correlation (DCC) models, recently proposed by Engle (2002), that are estimated by a two-step procedure. First, we conclude that correlations vary considerably over time. Secondly, the conditional correlations exhibit significantly asymmetric effects for positive and negative asset return shocks. These asymmetric effects differ between stocks and bonds however. Thirdly, the loss of efficiency by using the two-step procedure is relatively large for the standard DCC model, but this procedure reduces the computational burden for the extended specifications. Finally, we compared the standard DCC model to other multivariate GARCH models. The DCC model seems to outperform the alternatives.
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Paper provided by Netherlands Central Bank, Research Department in its series WO Research Memoranda (discontinued) with number
739.
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Length: 36 pages
Date of creation: Sep 2003Date of revision:
Handle: RePEc:dnb:wormem:739Contact details of provider: Postal: Postbus 98, 1000 AB Amsterdam Web page: http://www.dnb.nl/en/ More information through EDIRC
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Keywords: International financial markets ; Correlation ; Other versions of this item:
Find related papers by JEL classification: G15 - Financial Economics - - General Financial Markets - - - International Financial Markets F30 - International Economics - - International Finance - - - General
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