Evolutionary Selection of Individual Expectations and Aggregate Outcomes in Asset Pricing Experiments
Year: 2012
Type: article
Abstract: In recent “learning to forecast” experiments (Hommes et al. 2005), three different patterns in aggregate price behavior have been observed: slow monotonic convergence, permanent oscillations, and dampened fluctuations. We show that a simple model of individual learning can explain these different aggregate outcomes within the same experimental setting. The key idea is evolutionary selection among heterogeneous expectation rules, driven by their relative performance. The out-of-sample predictive power of our switching model is higher compared to the rational or other homogeneous expectations benchmarks. Our results show that heterogeneity in expectations is crucial to describe individual forecasting and aggregate price behavior. (JEL C53, C91, D83, D84, G12)
DOI: 10.1257/mic.4.4.35
Authors: Mikhail Anufriev, Cars Hommes
Institutions: University of Technology Sydney, University of Amsterdam
Language: English
Topic: Economic theories and models
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: green
Funder: European Commission
OpenAlex ID: W2138847869
