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The Journal of Finance
Article . 2016 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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https://doi.org/10.21034/wp.72...
Article . 2015 . Peer-reviewed
Data sources: Crossref
SSRN Electronic Journal
Article . 2008 . Peer-reviewed
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EconStor
Research . 2008
Data sources: EconStor
EconStor
Research . 2012
Data sources: EconStor
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Stock Market Volatility and Learning

Authors: KLAUS ADAM; ALBERT MARCET; JUAN PABLO NICOLINI;

Stock Market Volatility and Learning

Abstract

ABSTRACT We show that consumption‐based asset pricing models with time‐separable preferences generate realistic amounts of stock price volatility if one allows for small deviations from rational expectations. Rational investors with subjective beliefs about price behavior optimally learn from past price observations. This imparts momentum and mean reversion into stock prices. The model quantitatively accounts for the volatility of returns, the volatility and persistence of the price‐dividend ratio, and the predictability of long‐horizon returns. It passes a formal statistical test for the overall fit of a set of moments provided one excludes the equity premium.

Country
Germany
Keywords

330, asset pricing puzzles; consumption-based asset pricing; learning, Lernen, Kapitalmarkttheorie, CAPM, Learning, G12, asset pricing, Learning, near-rational price forecasts, near-rational price forecasts, ddc:330, asset pricing, learning, near-rational price forecasts, asset pricing, Börsenkurs, Asset pricing, Volatilität, Subjective Beliefs, D84, asset pricing, learning, subjective beliefs, internal rationality, Aktienmarkt, Asset pricing; Learning; Subjective beliefs; Internal rationality, Internal Rationality, Begrenzte Rationalität, Borsa de valors, jel: jel:D84, jel: jel:E44, jel: jel:G12

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
241
Top 1%
Top 1%
Top 10%
56
450
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bronze