Rational overconfidence and excess volatility in General Equilibrium
Carsten Nielsen
No 279, Econometric Society 2004 Australasian Meetings from Econometric Society
Abstract:
Rational beliefs (in the form of WAMS measures) are expectations which though consistent with empirical observations, may deviate from the true underlying probability measure under which data is generated.We provide results on, as well as a decomposition of, WAMS measures and use this to demonstrate that an agent that adopts a non-stationary rational belief is rationally overconfident.To apply the theory to models of general equilibrium, we introduce the concept of a sunspot rational beliefs structure which can be considered as the exogenously specified part of a state process with rational beliefs. As an application, we consider an continuous state space model where agents make production decision before knowing prices. Under rational beliefs, unlike under rational expectations, mistakes persist even though all agents make forecasts that are statistically consistent with the equilibrium process. Due to the correlation of subjective beliefs brought about by the sunspots, the equilibrium exhibits excess price volatility.
Keywords: Rational Beliefs; Rational Overconfidence; Excess Volatility (search for similar items in EconPapers)
JEL-codes: D51 D61 (search for similar items in EconPapers)
Date: 2004-08-11
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://repec.org/esAUSM04/up.27459.1077892493.pdf (application/pdf)
Related works:
Working Paper: Rational overconfidence and excess volatility in general equilibrium (2004) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ecm:ausm04:279
Access Statistics for this paper
More papers in Econometric Society 2004 Australasian Meetings from Econometric Society Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F. Baum ().