Artikel
Short-sale refinancing and price adjustment speed to bad news: Evidence from a quasi-natural experiment in China
Short selling may accelerate stock price adjustment to negative news. However, the literature provides mixed evidence for this prediction. Using short-sale refinancing and a staggered difference-in-differences (DID) model, this paper explores the effect of short selling on stock price adjustment. Our results show that (1) short-sale refinancing improves the speed of stock price adjustment to negative news. This result holds after we control for endogeneity. (2) The positive relationship between short-sale refinancing and stock price adjustment speed is significant in subsamples of stocks with higher earnings management or lower accuracy of analyst forecasts, indicating that firms with more opaque information are more likely to be targeted by short sellers. In subsamples of stocks with a higher ownership concentration or lower ownership by institutional investors, short selling is more likely to increase the speed of stock price adjustment, indicating that ownership structure may influence negative news mining. (3) As short-sale refinancing exacerbates the absorption of bad news by stock prices, it increases crash risk. This study enriches the research on the economic consequences of short selling and provides empirical evidence supporting regulations on short selling in China.
- Language
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Englisch
- Bibliographic citation
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Journal: China Journal of Accounting Research ; ISSN: 1755-3091 ; Volume: 12 ; Year: 2019 ; Issue: 4 ; Pages: 379-394 ; Amsterdam: Elsevier
- Classification
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Management
- Event
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Geistige Schöpfung
- (who)
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Gao, Kaijuan
Ding, Muran
- Event
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Veröffentlichung
- (who)
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Elsevier
- (where)
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Amsterdam
- (when)
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2019
- DOI
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doi:10.1016/j.cjar.2019.11.001
- Handle
- Last update
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10.03.2025, 11:44 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Gao, Kaijuan
- Ding, Muran
- Elsevier
Time of origin
- 2019