Information loss from perception alignment

This paper examines how synchronized investor perceptions of future asset returns affect market information dynamics. We introduce an empirical framework that applies information-theoretic measures, such as Kullback–Leibler and Jensen–Shannon divergences, to quantify the extent of perception alignment among investors and its impact on information loss. The findings show that heightened perception alignment increases information loss, especially during the COVID-19 pandemic. The findings emphasize our ability to measure information loss and capture shifts in investor behavior, with applications extending to various markets and events.

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Publication Details

Journal
International Review of Economics & Finance
Published
2024-12-24
DOI
https://doi.org/10.1016/j.iref.2024.103830
Citations
2
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
2.26
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article

Information loss from perception alignment

Omid M. Ardakani, Viktoria Dalko, Hyeeun Shim
2 citations
International Review of Economics & Finance
Complex Systems and Time Series Analysis
2.26
article

Information loss from perception alignment

Omid M. Ardakani, Viktoria Dalko, Hyeeun Shim
article en
2 citations

Abstract

This paper examines how synchronized investor perceptions of future asset returns affect market information dynamics. We introduce an empirical framework that applies information-theoretic measures, such as Kullback–Leibler and Jensen–Shannon divergences, to quantify the extent of perception alignment among investors and its impact on information loss. The findings show that heightened perception alignment increases information loss, especially during the COVID-19 pandemic. The findings emphasize our ability to measure information loss and capture shifts in investor behavior, with applications extending to various markets and events.

International Review of Economics & FinanceVol. 97
Harvard University Press (US), Georgia Southern University (US), Hult International Business School (US), Io Therapeutics (United States) (US)
Reduced inequalities
Openalex Percentile: Top 7%
Complex Systems and Time Series Analysis
2.26
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