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Journal of Financial Economics Vol. 147 No. 3 2023

Volatility and informativeness

Eduardo Dávila1; Cecilia Parlatore2

1 Yale University · 2 New York University

open access

Abstract

This paper studies the relation between volatility and informativeness in financial markets. We identify two channels (noise-reduction and equilibrium-learning) that determine the volatility-informativeness relation. When informativeness is sufficiently high (low), volatility and informativeness positively (negatively) comove in equilibrium. We identify conditions on primitives that guarantee that volatility and informativeness comove positively or negatively. We introduce the comovement score, a statistic that measures the distance of a given asset to the positive/negative comovement regions. Empirically, comovement scores (i) have trended downwards over the last decades, (ii) are positively related to value and idiosyncratic volatility and negatively to size and institutional ownership.

DOI
10.1016/j.jfineco.2022.12.005
Volume
147
Issue
3
Pages
550-572
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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