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Are Long-Horizon Expectations (De-)Stabilizing? Theory and Experiments

Author

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  • George Evans
  • Cars Hommes
  • Bruce McGough
  • Isabelle Salle

Abstract

Most models in finance assume that agents make trading plans over the infinite future. We consider instead that they are boundedly rational and may only form forecasts over a limited horizon. We explore how participants in financial markets trading over finite horizons affect the level and the volatility of the price. In our theoretical model, agents with different planning horizons may hold different expectations over those horizons and trade the asset accordingly. We derive testable implications in the lab under various theories of expectation formation over those horizons. Then we design a laboratory experiment to test these theoretical implications against human behaviour. Our experiment confirms most of our theoretical hypotheses. Short-horizon trading favors deviations of the asset price from fundamentals. By contrast, a modest share of long-horizon traders is enough for the price to stabilize around its fundamental value. This is because short-horizon traders tend to coordinate their price forecasts using non-fundamental factors, such as recent price trends, in choosing their trading strategies. Long-horizon traders hold more heterogeneous views about future price developments, which prevents such trend-chasing behaviour.

Suggested Citation

  • George Evans & Cars Hommes & Bruce McGough & Isabelle Salle, 2019. "Are Long-Horizon Expectations (De-)Stabilizing? Theory and Experiments," Staff Working Papers 19-27, Bank of Canada.
  • Handle: RePEc:bca:bocawp:19-27
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    Cited by:

    1. Lustenhouwer, Joep, 2020. "Fiscal Stimulus In Expectations-Driven Liquidity Traps," Working Papers 0683, University of Heidelberg, Department of Economics.
    2. Lustenhouwer, Joep & Salle, Isabelle, 2022. "Forecast revisions in the presence of news: a lab investigation," Working Papers 0714, University of Heidelberg, Department of Economics.
    3. Elton Beqiraj & Giovanni Di Bartolomeo & Marco Di Pietro & Carolina Serpieri, 2020. "Bounded rationality and heterogeneous expectations: Euler versus anticipated-utility approach," Journal of Economics, Springer, vol. 130(3), pages 249-273, August.
    4. Ina Hajdini, 2022. "Mis-specified Forecasts and Myopia in an Estimated New Keynesian Model," Working Papers 22-03R, Federal Reserve Bank of Cleveland, revised 06 Mar 2023.
    5. Simone Alfarano & Eva Camacho-Cuena & Annarita Colasante & Alba Ruiz-Buforn, 2024. "The effect of time-varying fundamentals in learning-to-forecast experiments," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 19(4), pages 619-647, October.
    6. Shinichi Hirota & Juergen Huber & Thomas Stock & Shyam Sunder, 2018. "Speculation and Price Indeterminacy in Financial Markets: An Experimental Study," Cowles Foundation Discussion Papers 2134R, Cowles Foundation for Research in Economics, Yale University, revised Apr 2020.
    7. Lustenhouwer, Joep, 2020. "Fiscal stimulus in expectations-driven liquidity traps," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 661-687.
    8. Leonid Serkov & Sergey Krasnykh, 2023. "The Specific Behavior of Economic Agents with Heterogeneous Expectations in the New Keynesian Model with Rigid Prices and Wages," Mathematics, MDPI, vol. 11(4), pages 1-17, February.
    9. Anufriev, Mikhail & Chernulich, Aleksei & Tuinstra, Jan, 2022. "Asset price volatility and investment horizons: An experimental investigation," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 19-48.
    10. Airaudo, Marco, 2020. "Temptation and forward-guidance," Journal of Economic Theory, Elsevier, vol. 186(C).
    11. Bao, Te & Hommes, Cars & Pei, Jiaoying, 2021. "Expectation formation in finance and macroeconomics: A review of new experimental evidence," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).

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    Keywords

    Asset Pricing; Central bank research; Economic models; Financial markets;
    All these keywords.

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • E70 - Macroeconomics and Monetary Economics - - Macro-Based Behavioral Economics - - - General

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