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A Dynamic General Equilibrium Approach to Asset Pricing Experiments

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  • John Duffy

Abstract

We report results from a laboratory experiment that implements a consumption-based dynamic general equilibrium model of asset pricing. This work-horse model of the macrofinance literature posits that agents buy and sell assets for the purpose of intertemporally smoothing consumption, and that asset prices are determined by individual risk and time preferences as well as the distribution of income and dividends. The experimental findings are largely supportive of the model�s theoretical predictions. Notably we observe that asset price bubbles, defined as sustained departures of prices from those implied by fundamentals, are infrequent and short-lived. This finding is a stark departure from many recent multi-period asset pricing experiments that lack a consumption-smoothing objective. Indeed, we find that when subjects are induced to adjust shareholdings to smooth consumption, assets typically trade at a discount relative to their expected value and market participation is broad; when the consumption smoothing motivation to trade assets is removed in an otherwise identical economy, assets frequently trade at a premium relative to fundamentals and shareholdings become highly concentrated.

Suggested Citation

  • John Duffy, 2010. "A Dynamic General Equilibrium Approach to Asset Pricing Experiments," Working Paper 398, Department of Economics, University of Pittsburgh, revised Jun 2010.
  • Handle: RePEc:pit:wpaper:398
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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. A Dynamic General Equilibrium Approach to Asset Pricing Experiments
      by Christian Zimmermann in NEP-DGE blog on 2010-07-13 07:40:42

    Citations

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    Cited by:

    1. Bao, Te & Duffy, John & Hommes, Cars, 2013. "Learning, forecasting and optimizing: An experimental study," European Economic Review, Elsevier, vol. 61(C), pages 186-204.
    2. Sean Crockett, 2013. "Price Dynamics In General Equilibrium Experiments," Journal of Economic Surveys, Wiley Blackwell, vol. 27(3), pages 421-438, July.
    3. repec:nbr:nberch:12923 is not listed on IDEAS
    4. Elena Asparouhova & Peter Bossaerts & Nilanjan Roy & William Zame, 2016. "“Lucas” in the Laboratory," Journal of Finance, American Finance Association, vol. 71(6), pages 2727-2780, December.
    5. Orland, Andreas & Roos, Michael W.M., 2013. "The New Keynesian Phillips curve with myopic agents," Journal of Economic Dynamics and Control, Elsevier, vol. 37(11), pages 2270-2286.
    6. Volodymyr Lugovskyy & Daniela Puzzello & Steven Tucker, 2009. "An Experimental Study of Bubble Formation in Asset Markets Using the Tâtonnement Pricing Mechanism," Working Papers in Economics 09/19, University of Canterbury, Department of Economics and Finance.
    7. Athreya, Kartik B., 2014. "Big Ideas in Macroeconomics: A Nontechnical View," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262019736, December.

    More about this item

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • D51 - Microeconomics - - General Equilibrium and Disequilibrium - - - Exchange and Production Economies
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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