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Does Volatility matter? Expectations of price return and variability in an asset pricing experiment

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  • Giulio Bottazzi
  • Giovanna Devetag
  • Francesca Pancotto

Abstract

We present results of an experiment on expectation formation in an asset market. Participants to our experiment must provide forecasts of the stock future return to computerized utility-maximizing investors, and are rewarded according to how well their forecasts perform in the market. In the Baseline treatment participants must forecast the stock return one period ahead; in the Volatility treatment, we also elicit subjective confidence intervals of forecasts, which we take as a measure of perceived volatility. The realized asset price is derived from a Walrasian market equilibrium equation with non-linear feedback from individual forecasts. Our experimental markets exhibit high volatility, fat tails and other properties typical of real financial data. Eliciting confidence intervals for predictions has the effect of reducing price fluctuations and increasing subjects' coordination on a common prediction strategy.

Suggested Citation

  • Giulio Bottazzi & Giovanna Devetag & Francesca Pancotto, 2009. "Does Volatility matter? Expectations of price return and variability in an asset pricing experiment," LEM Papers Series 2009/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  • Handle: RePEc:ssa:lemwps:2009/02
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    Cited by:

    1. Annarita COLASANTE & Antonio PALESTRINI & Alberto RUSSO & Mauro GALLEGATI, 2015. "Adaptive Expectations with Correction Bias: Evidence from the lab," Working Papers 409, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    2. repec:eee:intfor:v:33:y:2017:i:4:p:988-1006 is not listed on IDEAS
    3. Sonnemans, Joep & Tuinstra, Jan, 2010. "Positive expectations feedback experiments and number guessing games as models of financial markets," Journal of Economic Psychology, Elsevier, vol. 31(6), pages 964-984, December.
    4. Gerunov, Anton, 2014. "Критичен Преглед На Основните Подходи За Моделиране На Икономическите Очаквания
      [A Critical Review of Major Approaches for Modeling Economic Expectations]
      ," MPRA Paper 68797, University Library of Munich, Germany.
    5. Hommes, Cars, 2011. "The heterogeneous expectations hypothesis: Some evidence from the lab," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 1-24, January.
    6. Olivier Brandouy & Angelo Corelli & Iryna Veryzhenko & Roger Waldeck, 2012. "A re-examination of the “zero is enough” hypothesis in the emergence of financial stylized facts," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 7(2), pages 223-248, October.
    7. Pfajfar, Damjan & Žakelj, Blaž, 2016. "Uncertainty in forecasting inflation and monetary policy design: Evidence from the laboratory," International Journal of Forecasting, Elsevier, vol. 32(3), pages 849-864.

    More about this item

    Keywords

    Experimental economics; Expectations; Coordination; Volatility; Asset pricing;

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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