2000
DOI: 10.2139/ssrn.231857
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Evaluating Correlation Breakdowns During Periods of Market Volatility

Abstract: Financial market observers have noted that during periods of high market volatility, correlations between asset prices can differ substantially from those seen in quieter markets. For example, correlations among yield spreads were substantially higher during the fall of 1998 than in earlier or later periods. Such differences in correlations have been attributed either to structural breaks in the underlying distribution of returns or to "contagion" across markets that occurs only during periods of market turbul… Show more

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Cited by 134 publications
(82 citation statements)
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“…Second, we add to the literature on diversification breakdown (see e.g. Loretan and English, 2000;Campbell et al, 2002;Ang and Chen, 2002), as we find that the traditional correlation approach overstates diversification benefits, most notably for assets with a low or negative correlation. Third, we provide straightforward tests for the fit of copulas, that are easy to implement in comparison with Fermanian (2005) and Chen et al (2004).…”
Section: Introductionmentioning
confidence: 94%
“…Second, we add to the literature on diversification breakdown (see e.g. Loretan and English, 2000;Campbell et al, 2002;Ang and Chen, 2002), as we find that the traditional correlation approach overstates diversification benefits, most notably for assets with a low or negative correlation. Third, we provide straightforward tests for the fit of copulas, that are easy to implement in comparison with Fermanian (2005) and Chen et al (2004).…”
Section: Introductionmentioning
confidence: 94%
“…However, American banks accounted for nearly thirty percent of Philippine liabilities on the eve of the crisis. 19 By contrast, for example, in September 1997 the Malaysian government banned short selling on equity markets and imposed restrictions on forward sales of the ringgit.…”
Section: Discussionmentioning
confidence: 99%
“…They found mixed evidence of changing correlations through time but strong evidence that correlations increase a lot when the volatility of the U.S. market is high. Loretan and English (2000) also documented higher than average correlations during periods of higher than average volatility but cautioned against concluding that the correlation structure had changed.…”
Section: Spilloversmentioning
confidence: 99%