Information Percolation and Informed Short Selling: Evidence from Earnings Announcements

61 Pages Posted: 31 Aug 2020 Last revised: 30 Apr 2023

See all articles by Stephen E. Christophe

Stephen E. Christophe

George Mason University - Department of Finance

Jim Hsieh

George Mason University - Department of Finance

Date Written: April 28, 2023

Abstract

Firms typically disclose partial earnings-related information before their eventual earnings announcement (EA) dates. This paper employs a novel approach to decompose short selling prior to EAs into two components attributable to public, yet incomplete, vs. private information. We estimate that the relative informativeness of shorting activity based on these two information sources accounts for approximately 80% and 20%, respectively, of the shorting-related decrease in the EA return. We further show that the former is significantly related to fundamentals information whereas the latter is mostly to non-fundamentals. Importantly, the negative return predictability of shorting becomes more pronounced, the longer the firms implicitly delay their EA dates, indicating that short sellers profit from firms' strategic scheduling behavior. Moreover, the evidence illustrates the time-varying nature of short-sale constraints, ineffective following the release of public partial information but rising markedly right prior to the EAs. The overall findings support the proposition that short sellers exploit both public partial and private information as well as fundamentals and non-fundamentals information, but at different points in time during the information revelation process. The relative informativeness of decomposed shorting based on these various information sets, however, depends critically on the time-varying efficacy of short-sale constraints.

Keywords: incomplete information, informed trading, short selling, earnings announcement

JEL Classification: D82, G11, G14

Suggested Citation

Christophe, Stephen and Hsieh, Jim, Information Percolation and Informed Short Selling: Evidence from Earnings Announcements (April 28, 2023). Available at SSRN: https://ssrn.com/abstract=3588949 or http://dx.doi.org/10.2139/ssrn.3588949

Stephen Christophe

George Mason University - Department of Finance ( email )

Fairfax, VA 22030
United States
703-993-1767 (Phone)
703-993-1870 (Fax)

Jim Hsieh (Contact Author)

George Mason University - Department of Finance ( email )

4400 University Dr.
George Mason University
Fairfax, VA 22030
United States

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
146
Abstract Views
999
Rank
375,012
PlumX Metrics