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Equilibrium Modeling of Asset Prices: Rationality versus Rules of Thumb

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  • Ingram, Beth Fisher

Abstract

General equilibrium models with representative agents have proved to be inadequate descriptions of U.S. financial data. I present a model with heterogeneous agents, optimizers, and nonoptimizers that exhibits high stock-price volatility and mimics empirical regularities found in U.S. consumption, stock return, and three-month treasury-bill return data. The simulation and estimation of the model are performed using a new technique called "backsolving," which is of independent interest to researchers attempting to solve nonlinear, stochastic models.

Suggested Citation

  • Ingram, Beth Fisher, 1990. "Equilibrium Modeling of Asset Prices: Rationality versus Rules of Thumb," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(1), pages 115-125, January.
    • Handle: RePEc:bes:jnlbes:v:8:y:1990:i:1:p:115-25
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    Citations

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    Cited by:

    1. B. Ravikumar & Enchuan Shao, 2005. "Search Frictions and Asset Price Volatility," 2005 Meeting Papers 227, Society for Economic Dynamics.
    2. Boucekkine, Raouf, 1992. "Quelques idées simples pour la simulation stochastique des modèles non-linéaires à anticipations rationnelles et méthodes de validation," CEPREMAP Working Papers (Couverture Orange) 9215, CEPREMAP.
    3. Zhang, Harold H., 2000. "Explaining bond returns in heterogeneous agent models: The importance of higher-order moments," Journal of Economic Dynamics and Control, Elsevier, vol. 24(10), pages 1381-1404, September.
    4. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    5. Albert Marcet & David A. Marshall, 1994. "Solving nonlinear rational expectations models by parameterized expectations: convergence to stationary solutions," Working Paper Series, Macroeconomic Issues 94-20, Federal Reserve Bank of Chicago.
    6. Felix Kubler & Karl Schmedders, 2003. "Approximate Versus Exact Equilibria," Discussion Papers 1382, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    7. Rodepeter, Ralf & Winter, Joachim, 1999. "Rules of thumb in life-cycle savings models," Sonderforschungsbereich 504 Publications 99-81, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    8. Duffie, Darrell & Singleton, Kenneth J, 1993. "Simulated Moments Estimation of Markov Models of Asset Prices," Econometrica, Econometric Society, vol. 61(4), pages 929-952, July.
    9. Brandt, M.W.Michael W. & Zeng, Qi & Zhang, Lu, 2004. "Equilibrium stock return dynamics under alternative rules of learning about hidden states," Journal of Economic Dynamics and Control, Elsevier, vol. 28(10), pages 1925-1954, September.
    10. Taylor, John B & Uhlig, Harald, 1990. "Solving Nonlinear Stochastic Growth Models: A Comparison of Alternative Solution Methods," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(1), pages 1-17, January.
    11. He, Hua & Modest, David M, 1995. "Market Frictions and Consumption-Based Asset Pricing," Journal of Political Economy, University of Chicago Press, vol. 103(1), pages 94-117, February.
    12. Harald Uhlig & Martin Lettau, 1999. "Rules of Thumb versus Dynamic Programming," American Economic Review, American Economic Association, vol. 89(1), pages 148-174, March.
    13. Diaz-Gimenez, Javier & Prescott, Edward C., 1997. "Real returns on government debt: A general equilibrium quantitative exploration," European Economic Review, Elsevier, vol. 41(1), pages 115-137, January.
    14. Lettau, M. & Uhlig, H.F.H.V.S., 1995. "Rule of Thumb and Dynamic Programming," Other publications TiSEM 30ad8072-6a3b-4e5b-8227-9, Tilburg University, School of Economics and Management.
    15. Krusell, Per & Smith, Anthony Jr., 1996. "Rules of thumb in macroeconomic equilibrium A quantitative analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 20(4), pages 527-558, April.

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