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Changing Correlation and Equity Portfolio Diversification Failure for Linear Factor Models during Market Declines*

Changing Correlation and Equity Portfolio Diversification Failure for Linear Factor Models during... The paper considers a linear factor model (LFM) to study the behaviour of the correlation coefficient between various stock returns during a downturn. Changing correlation is related to the tail distribution of the driving factors, which is the market for Sharpe's one‐factor model. General classes of distribution functions are considered and asymptotic conditions found on the tails of the distribution, which determine whether diversification will succeed or fail during a market decline. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Mathematical Finance Taylor & Francis

Changing Correlation and Equity Portfolio Diversification Failure for Linear Factor Models during Market Declines*

16 pages

Changing Correlation and Equity Portfolio Diversification Failure for Linear Factor Models during Market Declines*

Abstract

The paper considers a linear factor model (LFM) to study the behaviour of the correlation coefficient between various stock returns during a downturn. Changing correlation is related to the tail distribution of the driving factors, which is the market for Sharpe's one‐factor model. General classes of distribution functions are considered and asymptotic conditions found on the tails of the distribution, which determine whether diversification will succeed or fail during a market...
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Publisher
Taylor & Francis
Copyright
Copyright Taylor & Francis Group, LLC
ISSN
1466-4313
eISSN
1350-486X
DOI
10.1080/13504860600858279
Publisher site
See Article on Publisher Site

Abstract

The paper considers a linear factor model (LFM) to study the behaviour of the correlation coefficient between various stock returns during a downturn. Changing correlation is related to the tail distribution of the driving factors, which is the market for Sharpe's one‐factor model. General classes of distribution functions are considered and asymptotic conditions found on the tails of the distribution, which determine whether diversification will succeed or fail during a market decline.

Journal

Applied Mathematical FinanceTaylor & Francis

Published: Jul 1, 2007

Keywords: Asymptotic Expansion; Factor Model; Portfolio Diversification; Truncated Variance

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