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Expectations Structure in Asset Pricing Experiments

Author

Listed:
  • Giulio Bottazzi
  • Giovanna Devetag
Abstract
Notwithstanding the recognized importance of traders' expectations in characterizing the observed market dynamics, for instance the formation of speculative bubbles and crashes on financial markets, little attention has been devoted so far by economists to a rigorous study of expectation formation in the laboratory. In this work we describe a laboratory experiment on the emergence and coordination of expectations in a pure exchange framework. We largely base our study on previous experiments on expectation formation in a controlled laboratory environment by Cars Hommes, Joep Sonnemans, Ian Tuinstra and Henk van de Velden (2002a). We consider a simple two asset economy with a riskless bond and a risky stock. Each market is composed of six experimental subjects who act as financial advisors of myopic risk-averse utility maximizing investors and are rewarded according to how well their forecasts perform in the market. The participants are asked to predict not only the price of the risky asset at time t+1, as in Hommes et al. (2002a), but also the confidence interval of their prediction, knowing the past realizations of the price until time t-1. The realized asset price is derived from a Walrasian market equilibrium equation, unknown to the subjects, with feedback from individual forecasts. Subjects' earnings are proportional to the increase in their wealth level. With respect to previous experiments that did not include an explicit evaluation of risk by participants, we observe a higher price volatility, a decreased likelihood of bubble dynamics and, in general, a higher heterogeneity of predictions.

Suggested Citation

  • Giulio Bottazzi & Giovanna Devetag, 2003. "Expectations Structure in Asset Pricing Experiments," ROCK Working Papers 022, Department of Computer and Management Sciences, University of Trento, Italy, revised 12 Jun 2008.
  • Handle: RePEc:trt:rockwp:022
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    References listed on IDEAS

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    1. Giulio Bottazzi & Giovanna Devetag, 2005. "Expectations Structure in Asset Pricing Experiments," Lecture Notes in Economics and Mathematical Systems, in: Thomas Lux & Eleni Samanidou & Stefan Reitz (ed.), Nonlinear Dynamics and Heterogeneous Interacting Agents, pages 11-26, Springer.
    2. Sunder, S., 1992. "Experimental Asset Markets: A Survey," GSIA Working Papers 1992-19, Carnegie Mellon University, Tepper School of Business.
    3. Hommes, Cars & Sonnemans, Joep & Tuinstra, Jan & van de Velden, Henk, 2008. "Expectations and bubbles in asset pricing experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 67(1), pages 116-133, July.
    4. Noussair, C. & Robin, S. & Ruffieux, B., 1998. "Bubbles and Anti-Crashes in Laboratory Asset Markets with Constant Fundamental Values," Purdue University Economics Working Papers 1119, Purdue University, Department of Economics.
    5. Charles Noussair & Stephane Robin & Bernard Ruffieux, 2001. "Price Bubbles in Laboratory Asset Markets with Constant Fundamental Values," Experimental Economics, Springer;Economic Science Association, vol. 4(1), pages 87-105, June.
    6. Mark van Boening & Vernon L. Smith & Charissa P. Wellford, 2000. "Dividend timing and behavior in laboratory asset markets," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 16(3), pages 567-583.
    7. Porter, David P & Smith, Vernon L, 1995. "Futures Contracting and Dividend Uncertainty in Experimental Asset Markets," The Journal of Business, University of Chicago Press, vol. 68(4), pages 509-541, October.
    8. Giulio Bottazzi, 2002. "A Simple Micro-Model of Market Dynamics Part I: The "Homogenous Agents" Deterministic Limit," LEM Papers Series 2002/10, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    9. Cars Hommes & Joep Sonnemans & Jan Tuinstra & Henk van de Velden, 2005. "Coordination of Expectations in Asset Pricing Experiments," The Review of Financial Studies, Society for Financial Studies, vol. 18(3), pages 955-980.
    10. Smith, Vernon L & Suchanek, Gerry L & Williams, Arlington W, 1988. "Bubbles, Crashes, and Endogenous Expectations in Experimental Spot Asset Markets," Econometrica, Econometric Society, vol. 56(5), pages 1119-1151, September.
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    Cited by:

    1. Bottazzi, Giulio & Devetag, Giovanna & Pancotto, Francesca, 2011. "Does volatility matter? Expectations of price return and variability in an asset pricing experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 77(2), pages 124-146, February.
    2. Giulio Bottazzi & Giovanna Devetag, 2005. "Expectations Structure in Asset Pricing Experiments," Lecture Notes in Economics and Mathematical Systems, in: Thomas Lux & Eleni Samanidou & Stefan Reitz (ed.), Nonlinear Dynamics and Heterogeneous Interacting Agents, pages 11-26, Springer.
    3. Pfajfar, D. & Zakelj, B., 2012. "Uncertainty and Disagreement in Forecasting Inflation : Evidence from the Laboratory (Revised version of CentER DP 2011-053)," Other publications TiSEM 38fac5ce-fe8f-4b61-a679-f, Tilburg University, School of Economics and Management.
    4. 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.
    5. Pfajfar, D. & Zakelj, B., 2012. "Uncertainty and Disagreement in Forecasting Inflation : Evidence from the Laboratory (Revised version of EBC DP 2011-014)," Other publications TiSEM 2b92a09f-918e-4614-978d-0, Tilburg University, School of Economics and Management.
    6. Joep Sonnemans & Peter Heemeijer & Cars Hommes, 2005. "Price expectations in the laboratory in positive and negative feedback systems," Computing in Economics and Finance 2005 165, Society for Computational Economics.
    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.
    8. Heemeijer, P. & Hommes, C.H. & Sonnemans, J. & Tuinstra, J., 2004. "Forming price expectations in positive and negative feedback systems," CeNDEF Working Papers 04-15, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

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    More about this item

    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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