Shocks to Order Flow Volatility and Stock Returns

57 Pages Posted: 1 Nov 2014

See all articles by Tarun Chordia

Tarun Chordia

Emory University - Department of Finance

Jianfeng Hu

Singapore Management University - Lee Kong Chian School of Business

Avanidhar Subrahmanyam

University of California, Los Angeles (UCLA) - Finance Area; Financial Research Network (FIRN)

Qing Tong

Shanghai LiLi Technology Co.,Ltd.

Date Written: October 31, 2014

Abstract

In theoretical models, liquidity and order flow volatility are determined by the same exogenous parameters. Thus, the variability of order flow can at least partially proxy for the unobserved (true) liquidity. Levels of and shocks to order flow volatility are indeed positively and significantly correlated with existing illiquidity proxies. Shocks to order flow volatility strongly predict stock returns in the cross-section, even after accounting for risk factors, firm characteristics known to influence returns, and other liquidity measures. The evidence indicates that the impact of such shocks on stock prices is reflected within one month in large, visible stocks, but takes over six months to be fully reflected in small, "neglected" stocks.

Suggested Citation

Chordia, Tarun and Hu, Jianfeng and Subrahmanyam, Avanidhar and Tong, Qing, Shocks to Order Flow Volatility and Stock Returns (October 31, 2014). Available at SSRN: https://ssrn.com/abstract=2517219 or http://dx.doi.org/10.2139/ssrn.2517219

Tarun Chordia

Emory University - Department of Finance ( email )

Atlanta, GA 30322-2710
United States
404-727-1620 (Phone)
404-727-5238 (Fax)

Jianfeng Hu

Singapore Management University - Lee Kong Chian School of Business ( email )

50 Stamford Road
Singapore, 178899
Singapore
(+65) 68085477 (Phone)

Avanidhar Subrahmanyam

University of California, Los Angeles (UCLA) - Finance Area ( email )

Los Angeles, CA 90095-1481
United States
310-825-5355 (Phone)
310-206-5455 (Fax)

Financial Research Network (FIRN)

C/- University of Queensland Business School
St Lucia, 4071 Brisbane
Queensland
Australia

Qing Tong (Contact Author)

Shanghai LiLi Technology Co.,Ltd. ( email )

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