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Cautious stochastic choice, optimal stopping and deliberate randomization

Author

Listed:
  • Vicky Henderson

    (University of Warwick)

  • David Hobson

    (University of Warwick)

  • Matthew Zeng

    (University of Warwick)

Abstract

We study cautious stochastic choice (CSC) agents facing optimal timing decisions in a dynamic setting. In an expected utility setting, the optimal strategy is always a threshold strategy—to stop/sell the first time the price process exits an interval. In contrast, we show that in the CSC setting, where the agent has a family of utility functions and is concerned with the worst case certainty equivalent, the optimal strategy may be of non-threshold form and may involve randomization. We provide some carefully constructed examples, including one where we can solve explicitly for the optimal stopping rule and show it is a non-trivial mixture of threshold strategies. Our model is consistent with recent experimental evidence in dynamic setups whereby individuals do not play cut-off or threshold strategies.

Suggested Citation

  • Vicky Henderson & David Hobson & Matthew Zeng, 2023. "Cautious stochastic choice, optimal stopping and deliberate randomization," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 75(3), pages 887-922, April.
  • Handle: RePEc:spr:joecth:v:75:y:2023:i:3:d:10.1007_s00199-022-01428-2
    DOI: 10.1007/s00199-022-01428-2
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    References listed on IDEAS

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    More about this item

    Keywords

    Stochastic choice; Cautious stochastic choice; Randomization; Optimal stopping;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G19 - Financial Economics - - General Financial Markets - - - Other
    • G39 - Financial Economics - - Corporate Finance and Governance - - - Other

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