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Review of Financial Studies Vol. 35 No. 4 2022

Extrapolative Bubbles and Trading Volume

Jingchi Liao1; Cameron Peng2; Ning Zhu3

1 Shenzhen Stock Exchange · 2 London School of Economics and Political Science · 3 SAIF, Shanghai Jiaotong University

open access

Abstract

We propose an extrapolative model of bubbles to explain the sharp rise in prices and volume observed in historical financial bubbles. The model generates a novel mechanism for volume: because of the interaction between extrapolative beliefs and disposition effects, investors are quick to not only buy assets with positive past returns but also sell them if good returns continue. Using account-level transaction data on the 2014–2015 Chinese stock market bubble, we test and confirm the model’s predictions about trading volume. We quantify the magnitude of the proposed mechanism and show that it can increase trading volume by another 30%.

DOI
10.1093/rfs/hhab070
Volume
35
Issue
4
Pages
1682-1722
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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