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A Fundamental Theorem of Asset Pricing for Large Financial Markets

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  • Irene Klein
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    Abstract

    We formulate the notion of "asymptotic free lunch" which is closely related to the condition "free lunch" of Kreps (1981) and allows us to state and prove a fairly general version of the fundamental theorem of asset pricing in the context of a large financial market as introduced by Kabanov and Kramkov (1994). In a large financial market one considers a sequence ("S"-super-"n") "n"=1 -super-∞ of stochastic stock price processes based on a sequence (Ω-super-"n", "F"-super-"n", ("F" "t" -super-"n") "t" is an element of "I"-super-"n" , P-super-"n") "n"=1 -super-∞ of filtered probability spaces. Under the assumption that for all "n" is an element of N there exists an equivalent sigma-martingale measure for "S"-super-"n", we prove that there exists a "bicontiguous" sequence of equivalent sigma-martingale measures if and only if there is no asymptotic free lunch (Theorem 1.1). Moreover we present an example showing that it is not possible to improve Theorem 1.1 by replacing "no asymptotic free lunch" by some weaker condition such as "no asymptotic free lunch with bounded" or "vanishing risk." Copyright Blackwell Publishers, Inc..

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    Bibliographic Info

    Article provided by Wiley Blackwell in its journal Mathematical Finance.

    Volume (Year): 10 (2000)
    Issue (Month): 4 ()
    Pages: 443-458

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    Handle: RePEc:bla:mathfi:v:10:y:2000:i:4:p:443-458

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    Cited by:
    1. Miklós Rásonyi, 2004. "Arbitrage pricing theory and risk-neutral measures," Decisions in Economics and Finance, Springer, vol. 27(2), pages 109-123, December.
    2. Oleksii Mostovyi, 2014. "Utility maximization in the large markets," Papers 1403.6175, arXiv.org.
    3. Michał Baran, 2007. "Asymptotic pricing in large financial markets," Computational Statistics, Springer, vol. 66(1), pages 1-20, August.

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