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Market Selection

Author

Listed:
  • Stephen Ross

    (MIT)

  • Mark Westerfield

    (USC)

  • Jiang Wang

    (MIT)

  • Leonid Kogan

    (MIT)

Abstract

agents do not survive and do not affect prices in the long run. If relative risk aversion is unbounded, however, they may survive, and survival is neither necessary nor sufficient for their impact on prices. We provide necessary and sufficient conditions for price impact, as well as examples of price impact without survival and vice versa. Our results extend to economies with state-dependent utility functions such as habit formation.

Suggested Citation

  • Stephen Ross & Mark Westerfield & Jiang Wang & Leonid Kogan, 2009. "Market Selection," 2009 Meeting Papers 274, Society for Economic Dynamics.
    • Handle: RePEc:red:sed009:274
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    References listed on IDEAS

    as
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    Cited by:

    1. Hansen, Lars Peter, 2013. "Uncertainty Outside and Inside Economic Models," Nobel Prize in Economics documents 2013-7, Nobel Prize Committee.
    2. Suzuki, Masataka, 2016. "A representative agent asset pricing model with heterogeneous beliefs and recursive utility," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 298-315.
    3. Roman Muraviev, 2013. "Market selection with learning and catching up with the Joneses," Finance and Stochastics, Springer, vol. 17(2), pages 273-304, April.
    4. Zeckhauser, Richard Jay & Tran, Ngoc-Khanh, 2011. "The Behavior of Savings and Asset Prices When Preferences and Beliefs are Heterogeneous," Scholarly Articles 5027955, Harvard Kennedy School of Government.
    5. Elyès Jouini & Clotilde Napp, 2010. "Unbiased Disagreement in Financial Markets, Waves of Pessimism and the Risk-Return Trade-off," Review of Finance, European Finance Association, vol. 15(3), pages 575-601.
    6. Jaroslav Borovička, 2020. "Survival and Long-Run Dynamics with Heterogeneous Beliefs under Recursive Preferences," Journal of Political Economy, University of Chicago Press, vol. 128(1), pages 206-251.
    7. Guerdjikova, Ani & Sciubba, Emanuela, 2015. "Survival with ambiguity," Journal of Economic Theory, Elsevier, vol. 155(C), pages 50-94.
    8. YiLi Chien & Harold L. Cole & Hanno Lustig, 2014. "Implications of heterogeneity in preferences, beliefs and asset trading technologies for the macroeconomy," Working Papers 2014-14, Federal Reserve Bank of St. Louis.
    9. Dindo, Pietro, 2019. "Survival in speculative markets," Journal of Economic Theory, Elsevier, vol. 181(C), pages 1-43.
    10. Zhi Da & Borja Larrain & Clemens Sialm & José Tessada, 2016. "Coordinated Noise Trading: Evidence from Pension Fund Reallocations," NBER Working Papers 22161, National Bureau of Economic Research, Inc.
    11. Emilio Barucci & Marco Casna, 2014. "On the Market Selection Hypothesis in a Mean Reverting Environment," Computational Economics, Springer;Society for Computational Economics, vol. 44(1), pages 101-126, June.
    12. Fu, Chengbo & Jacoby, Gady & Wang, Yan, 2015. "Investor sentiment and portfolio selection," Finance Research Letters, Elsevier, vol. 15(C), pages 266-273.
    13. Massari, Filippo, 2017. "Markets with heterogeneous beliefs: A necessary and sufficient condition for a trader to vanish," Journal of Economic Dynamics and Control, Elsevier, vol. 78(C), pages 190-205.

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    More about this item

    JEL classification:

    • D53 - Microeconomics - - General Equilibrium and Disequilibrium - - - Financial Markets
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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