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Expectation formation in finance and macroeconomics: A review of new experimental evidence

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  • Bao, Te
  • Hommes, Cars
  • Pei, Jiaoying

Abstract

This paper reviews the recent development and new findings of the literature on learning-to-forecast experiments (LtFEs). In general, the stylized finding in the typical LtFEs, namely the rapid convergence to the rational expectations equilibrium in negative feedback markets and persistent bubbles and crashes in positive feedback markets, is a robust result against several deviations from the baseline design (e.g., number of subjects in each market, price prediction versus quantity decision, short term versus long term predictions, predicting price or returns). Recent studies also find a high level of consistency between findings from forecasting data from the laboratory and the field, and forecasting accuracy crucially depends on the complexity of the task.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:beexfi:v:32:y:2021:i:c:s2214635021001350
    DOI: 10.1016/j.jbef.2021.100591
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    3. Mignot, Sarah & Pellizzari, Paolo & Westerhoff, Frank H., 2024. "Fake news and asset price dynamics," BERG Working Paper Series 192, Bamberg University, Bamberg Economic Research Group.
    4. Nobuyuki Hanaki & Yuta Takahashi, 2023. "An Experiment on a Multi-Period Beauty Contest Game," ISER Discussion Paper 1213rr, Institute of Social and Economic Research, The University of Osaka, revised Dec 2024.
    5. 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.
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    19. Filippo Gusella & Giorgio Ricchiuti, 2022. "A State-Space Approach for Time-Series Prediction of an Heterogeneous Agent Model," Working Papers - Economics wp2022_20.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    20. Jiaoying Pei, 2024. "Minimizing Errors or Surprises?," Papers 2404.08908, arXiv.org, revised Feb 2025.
    21. Heinke, Steve & Olschewski, Sebastian & Rieskamp, Jörg, 2024. "Experiences, demand for risky investments, and implications for price dynamics," Journal of Behavioral and Experimental Finance, Elsevier, vol. 43(C).
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    4. Mauersberger, Felix, 2021. "Monetary policy rules in a non-rational world: A macroeconomic experiment," Journal of Economic Theory, Elsevier, vol. 197(C).
    5. Mikhail Anufriev & Frieder Neunhoeffer & Jan Tuinstra, 2024. "Time pressure reduces financial bubbles: Evidence from a forecasting experiment," Working Papers REM 2024/0351, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
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    17. Anita Kopányi-Peuker & Matthias Weber & Lauren Cohen, 2021. "Experience Does Not Eliminate Bubbles: Experimental Evidence," The Review of Financial Studies, Society for Financial Studies, vol. 34(9), pages 4450-4485.
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    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G40 - Financial Economics - - Behavioral Finance - - - General

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