Speed of convergence to market efficiency: The role of ECNs

Dennis Y. Chung and Karel Hrazdil

Journal of Empirical Finance, 2012, vol. 19, issue 5, 702-720

Abstract: Chordia, Roll and Subrahmanyam (2005, CRS) estimate the speed of convergence to market efficiency based on short-horizon return predictability of the 150 largest NYSE firms. We extend CRS to a broad panel of NYSE stocks and are the first to examine the relation between electronic communication networks (ECNs) and the corresponding informational efficiency of prices. Overall, we confirm CRS's result that price adjustments to new information occur on average within 5–15min for large NYSE stocks. We further show that it takes about 20min longer for smaller firms to incorporate information into prices. Most importantly, we demonstrate that the speed of convergence to market efficiency is significantly related to the type of trading platform where orders are executed, even after controlling for relative order flows, trading costs, volatility, informational effects, trading conditions, market quality, institutional trading activity, and other firm-specific characteristics. Our findings provide direct answers and insights to issues raised in a recent SEC concept release document.

Keywords: ECN; Speed; Market efficiency; NYSE; Arca (search for similar items in EconPapers)
JEL-codes: G1 (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:empfin:v:19:y:2012:i:5:p:702-720

DOI: 10.1016/j.jempfin.2012.08.006

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