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The capital-asset-pricing model and arbitrage pricing theory: A unification
Author(s) -
M. Ali Khan,
Yeneng Sun
Publication year - 1997
Publication title -
proceedings of the national academy of sciences of the united states of america
Language(s) - English
Resource type - Journals
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.94.8.4229
Subject(s) - capital asset pricing model , arbitrage pricing theory , diversification (marketing strategy) , fundamental theorem of asset pricing , mathematical economics , unification , arbitrage , economics , econometrics , valuation (finance) , rational pricing , portfolio , mathematics , financial economics , computer science , finance , business , marketing , programming language
We present a model of a financial market in which naive diversification, based simply on portfolio size and obtained as a consequence of the law of large numbers, is distinguished from efficient diversification, based on mean-variance analysis. This distinction yields a valuation formula involving only theessential risk embodied in an asset’s return, where the overall risk can be decomposed into asystematic and anunsystematic part, as in the arbitrage pricing theory; and the systematic component further decomposed into anessential and aninessential part, as in the capital-asset-pricing model. The two theories are thus unified, and their individual asset-pricing formulas shown to be equivalent to the pervasive economic principle of no arbitrage. The factors in the model are endogenously chosen by a procedure analogous to the Karhunen–Loéve expansion of continuous time stochastic processes; it has an optimality property justifying the use of a relatively small number of them to describe the underlying correlational structures. Our idealized limit model is based on a continuum of assets indexed by a hyperfinite Loeb measure space, and it is asymptotically implementable in a setting with a large but finite number of assets. Because the difficulties in the formulation of the law of large numbers with a standard continuum of random variables are well known, the model uncovers some basic phenomena not amenable to classical methods, and whose approximate counterparts are not already, or even readily, apparent in the asymptotic setting.

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