Arbitrage, Factor Structure, and Mean-Varianc...
Michael Rothschild, Gary Chamb...
Arbitrage, Factor Structure, and Mean-Variance Analysis on Large Asset Markets by Michael Rothschild, Gary Chamberlain, National Bureau of Economic Research, Michael Rothschild, Gary Chamberlain, National Bureau of Economic Research
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Arbitrage, Factor Structure, and Mean-Variance Analysis on Large Asset Markets

We examine the implications of arbitrage in a market with many assets. The absence of arbitrage opportunities implies that the linear functionals that give the mean and cost of a portfolio are continuous; hence there exist unique portfolios that represent these functionals. These portfolios span the mean-variance efficient set. We resolve the question of when a market with many assets permits so much diversification that risk-free investment opportunities are available. Ross 112, 141 showed that if there is a factor structure, then the mean returns are approximately linear functions of factor loadings. We define an approximate factor structure and show that this weaker restriction is sufficient for Ross' result. If the covariance matrix of the asset returns has only K unbounded eigenvalues, then there is an approximate factor structure and it is unique. The corresponding K eigenvectors converge and play the role of factor loadings. Hence only a principal component analysis is needed in empirical work.

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Language
English
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Cover of: Arbitrage, Factor Structure, and Mean-Variance Analysis on Large Asset Markets
Arbitrage, Factor Structure, and Mean-Variance Analysis on Large Asset Markets
1984, National Bureau of Economic Research
electronic resource in English

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January 1984.

Access restricted to subscribers.

Hardcopy version available to institutional subscribers.

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Mode of access: World Wide Web.

Published in
Cambridge, Mass
Series
NBER working paper series -- no. w0996, Working paper series (National Bureau of Economic Research) -- no. w0996

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[electronic resource]

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Open Library
OL62728243M

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OL46194241W

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