Dark Trading and Post-Earnings-Announcement Drift.

Thomas, Jacob; Zhang, Frank; Zhu, Wei

Both theory and evidence are mixed regarding the impact on prices of trading on "dark" venues partially exempt from National Market System requirements. Theory predicts that price discovery improves as dark venues siphon noisy uninformed trades, but increased adverse selection reduces liquidity. Empirical studies, which focus on intraday inefficiency, also find contradictory results. We extend that literature to investigate the impact of dark trading on a long-standing inefficiency based on under-reaction to quarterly earnings. We study a randomized controlled trial created by the "trade-at" rule of the Securities and Exchange Commission's Tick Size Pilot Program that exogenously shocks dark trading. We supplement that with ordinary least squares and two-stage least squares regressions on a more representative Compustat/Center for Research in Security Prices sample. All our results suggest that under-reaction increases with dark trading, consistent with reduced liquidity limiting arbitrage. We contribute to the literature on dark trading and inefficient processing of accounting disclosures, highlighting the role of advances in trading technology. This paper was accepted by Brian Bushee, accounting.

UNITED States. Securities & Exchange Commission; PRICES of securities; DISCLOSURE in accounting; PILOT projects; RANDOMIZED controlled trials; EMPIRICAL research; ARBITRAGE; SECURITIES trading

Management Science, 2021, Vol 67, Issue 12, p7785

1526-5501

Academic Journal

10.1287/mnsc.2020.3828