Experiences, expectations, and asset prices

Abstract In models with subjective beliefs, the dynamics of investor beliefs are central to explaining asset price movements. Allowing subjective beliefs to deviate from full-information rational expectations requires a model of how investors form beliefs. I review recent research that explores experience-based belief formation. The experience-based model closely resembles Bayesian updating but allows individuals to overweight data observed during their own lifetimes when forming beliefs about the parameters of the data-generating process. Because individuals of different age learn from different histories, the model predicts heterogeneity between age groups that evolves over time with the path of realized data individuals have experienced, closely mirroring the age-related variation observed in survey microdata. At the aggregate level, experience-based expectations formation can explain asset price dynamics. In the stock market, learning from experience about long-run cash flow growth generates valuation cycles and return predictability. Experience-based formation of long-term inflation expectations can explain secular changes of real interest rates. I conclude by outlining directions for future research.

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Publication Details

Journal
Journal of Business Economics
Published
2026-01-01
DOI
https://doi.org/10.1007/s11573-025-01256-5
Citations
1
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
59.40
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article

Experiences, expectations, and asset prices

Stefan Nagel
1 citations
Journal of Business Economics
Financial Markets and Investment Strategies
59.40
article

Experiences, expectations, and asset prices

Stefan Nagel
article en
1 citations

Abstract

Abstract In models with subjective beliefs, the dynamics of investor beliefs are central to explaining asset price movements. Allowing subjective beliefs to deviate from full-information rational expectations requires a model of how investors form beliefs. I review recent research that explores experience-based belief formation. The experience-based model closely resembles Bayesian updating but allows individuals to overweight data observed during their own lifetimes when forming beliefs about the parameters of the data-generating process. Because individuals of different age learn from different histories, the model predicts heterogeneity between age groups that evolves over time with the path of realized data individuals have experienced, closely mirroring the age-related variation observed in survey microdata. At the aggregate level, experience-based expectations formation can explain asset price dynamics. In the stock market, learning from experience about long-run cash flow growth generates valuation cycles and return predictability. Experience-based formation of long-term inflation expectations can explain secular changes of real interest rates. I conclude by outlining directions for future research.

Journal of Business EconomicsVol. 96(1)
Center for Economic and Policy Research (US), University of Illinois Chicago (US)
Decent work and economic growth
Openalex Percentile: Top 1%
Financial Markets and Investment Strategies
59.40
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