Dynamic Conditional Correlations in International Stock, Bond and Foreign Exchange Markets: Emerging Markets Evidence

Abdul Hakim and Michael McAleer

No CARF-F-179, CARF F-Series from Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo

Abstract: The paper models the dynamic conditional correlations in emerging stock, bond and foreign exchange markets using the DCC model of Engle (2002) and the GARCC model of McAleer et al. (2008). The highly restrictive DCC model suggests that the conditional correlations of the overall returns are constant. In contrast, the GARCC model finds that the conditional correlations between bond-bond markets and between stock-stock markets are relatively constant across developed-emerging markets, while those between emerging-emerging markets are dynamic. The conditional correlations between stock-bond markets across developed-emerging markets are also more dynamic as compared with those between emerging-emerging markets.

Pages: 20 pages
Date: 2009-10
New Economics Papers: this item is included in nep-fmk and nep-sea
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Citations: View citations in EconPapers (1)

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https://www.carf.e.u-tokyo.ac.jp/old/pdf/workingpaper/fseries/185.pdf (application/pdf)

Related works:
Working Paper: Dynamic Conditional Correlations in International Stock, Bond and Foreign Exchange Markets: Emerging Markets Evidence (2009)
Working Paper: Dynamic Conditional Correlations in International Stock, Bond and Foreign Exchange Markets: Emerging Markets Evidence (2009)
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Persistent link: https://EconPapers.repec.org/RePEc:cfi:fseres:cf179

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