Arbeitspapier

Selection in incomplete markets and the CAPM portfolio rule

This paper studies whether, and to what extent, trading in an incomplete competitive market rewards the CAPM portfolio rule over alternative rules. We find that, if a mean-variance trader faces an agent who invests in each asset proportionally to expected relative payoffs, in the long-run only two scenarios are possible: either the mean-variance trader vanishes or both agents survive with fixed and constant wealth shares. In both cases, asymptotic prices are proportional to assets' expected payoff, and the relation between prices and returns implied by the CAPM does not generally hold. Conversely, when a mean-variance trader faces a generic fixed-mix investor, several long-run outcomes are possible, such as dominance of one trader, survival of both, and generic path-dependency. We provide sufficient conditions to assess such outcomes. We find that the different outcomes can be effectively discussed in terms of the effective risk aversion of the trading strategies, as implied by their portfolio choices conditional on prevailing market prices. In general, a larger effective risk aversion constitutes a survival advantage.

Language
Englisch

Bibliographic citation
Series: LEM Working Paper Series ; No. 2020/29

Classification
Wirtschaft
Mathematical Methods; Programming Models; Mathematical and Simulation Modeling: General
General Equilibrium and Disequilibrium: Financial Markets
Asset Pricing; Trading Volume; Bond Interest Rates
Information and Market Efficiency; Event Studies; Insider Trading
Subject
Selection
Evolution
Capital Asset Pricing Model
Incomplete Markets

Event
Geistige Schöpfung
(who)
Bottazzi, Giulio
Giachini, Daniele
Event
Veröffentlichung
(who)
Scuola Superiore Sant'Anna, Laboratory of Economics and Management (LEM)
(where)
Pisa
(when)
2020

Handle
Last update
10.03.2025, 11:46 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Bottazzi, Giulio
  • Giachini, Daniele
  • Scuola Superiore Sant'Anna, Laboratory of Economics and Management (LEM)

Time of origin

  • 2020

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