Asset Price Anomalies under Bounded Rationality
AbstractWe analyze the classical asset pricing model assuming non fully rational agents. Agents forecast future prices cum dividend through an adaptive learning rule. This assumption provides an explanation of some anomalies encountered in the empirical analysis of asset prices under full rationality: returns are serially correlated (positively over a short horizon and negatively over a longer horizon) and the dividend yield predicts future returns (positive correlation). Considering the continuous time limit process, the same regularities are established analytically for price increments.
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Bibliographic InfoArticle provided by Society for Computational Economics in its journal Computational Economics.
Volume (Year): 23 (2004)
Issue (Month): 3 (04)
Other versions of this item:
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- C62 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Existence and Stability Conditions of Equilibrium
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
- D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
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- Pietro Dindo & Cees Diks, 2007.
"Informational differences and learning in an asset market with boundedly rational agents,"
wp07-06, Warwick Business School, Finance Group.
- Diks, Cees & Dindo, Pietro, 2008. "Informational differences and learning in an asset market with boundedly rational agents," Journal of Economic Dynamics and Control, Elsevier, vol. 32(5), pages 1432-1465, May.
- Diks, C.G.H. & Dindo, P.D.E., 2006. "Informational differences and learning in an asset market with boundedly rational agents," CeNDEF Working Papers 06-11, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
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