N.D. Pearson
The Chinese Warrants Bubble: Evidence from Brokerage Account Records
Pearson, N.D.; Yang, Z.; Zhang, Q
Authors
Z. Yang
Q Zhang
Abstract
We use brokerage account records to study trading during the Chinese put warrants bubble and find evidence consistent with extrapolative theories of speculative asset price bubbles. We identify the event that started the bubble and show that investors engaged in a form of feedback trading based on their own past returns. The interaction of feedback trading with the precipitating event caused additional buying and price increases in a feedback loop, and estimates of the trading volume due to this mechanism explain prices and returns during the bubble.
Citation
Pearson, N., Yang, Z., & Zhang, Q. (2020). The Chinese Warrants Bubble: Evidence from Brokerage Account Records. The Review of Financial Studies, 34(1), 264-312. https://doi.org/10.1093/rfs/hhaa037
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 5, 2020 |
Online Publication Date | Mar 25, 2020 |
Publication Date | 2020 |
Deposit Date | Jan 6, 2020 |
Publicly Available Date | Mar 25, 2022 |
Journal | Review of Financial Studies |
Print ISSN | 0893-9454 |
Electronic ISSN | 1465-7368 |
Publisher | Oxford University Press |
Peer Reviewed | Peer Reviewed |
Volume | 34 |
Issue | 1 |
Pages | 264-312 |
DOI | https://doi.org/10.1093/rfs/hhaa037 |
Public URL | https://durham-repository.worktribe.com/output/1311033 |
Files
Accepted Journal Article
(2.2 Mb)
PDF
You might also like
Market Development, Information Diffusion and the Global Anomaly Puzzle
(2022)
Journal Article
Negative tone in lobbying the International Accounting Standards Board
(2019)
Journal Article
Overreaction to growth opportunities: an explanation of the asset growth anomaly
(2018)
Journal Article
In Search of Winning Mutual Funds in the Chinese Stock Market
(2019)
Journal Article
FARVaR: Functional Autoregressive Value-at-Risk
(2018)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search