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Journal of Mathematical Economics
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Market Selection and Survival of Investment Strategies

Market selection and survival of investment strategies
Authors: Amir, Rabah; Evstigneev, Igor V; Hens, Thorsten; Schenk–Hoppé, Klaus Reiner;

Market Selection and Survival of Investment Strategies

Abstract

The paper analyzes the process of market selection of investment strategies in an incomplete asset market. The pay offs of the assets depend on random factors described in terms of a discrete-time Markov process. Market participants make dynamic investment decisions based on their observations and time. We show that a trader distributing wealth across available assets according to the relative expected returns eventually accumulates the entire market wealth. The result obtains under the assumption that the trader's strategy is asymptotically distinct from the CAPM strategy (prescribing investment in the market portfolio). This assumption turns out to be essentially necessary for the conclusion.

Countries
United Kingdom, Denmark, United Kingdom, Switzerland
Keywords

Incomplete markets, info:eu-repo/classification/ddc/330, Economics, 10003 Department of Finance, evolutionary finance, portfolio theory, investment strategies, CAPM, market selection, incomplete markets, 2002 Economics and Econometrics, Finance etc., evolutionary finance; portfolio theory; CAPM; investment strategies; market selection; incomplete markets, Market selection, 330 Economics, Auctions, bargaining, bidding and selling, and other market models, Evolutionary finance, 2604 Applied Mathematics, Portfolio theory, 10007 Department of Economics, IEW Institute for Empirical Research in Economics (former), CAPM, evolutionary finance, portfolio theory, CAPM, investment strategies, market selection, incomplete markets, Investment strategies, jel: jel:D81, jel: jel:D52, jel: jel:D83, jel: jel:G11

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    86
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
86
Top 10%
Top 10%
Top 1%
Green
bronze
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