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Post-earnings-announcement Drift in the UK


Weimin Liu


Nottingham University Business School

Norman C. Strong


University of Manchester - Manchester Business School

Xinzhong Xu


Peking University - Guang Hua School of Management

July 2000

LUMS Working Paper No. 2000/010

Abstract:     
This paper fills a void in the market efficiency literature by testing for the presence of post-earnings announcement drift in the non-US market. We test for drift using alternative earnings surprise measures based on: (i) the time-series of earnings; (ii) market prices; and (iii) analyst forecasts. Using each of the measures we find evidence of significant post-earnings-announcement drift, robust to alternative controls for risk and market microstructure effects. Using a one-dimensional analysis, the price-based measure of earnings surprise gives the strongest drift, and using a two-dimensional analysis the drift associated with the price-based measure almost subsumes drift associated with the other two measures. Our conclusion is that the UK stock market is inefficient with respect to publicly available corporate earnings information. This evidence provides out-of-sample confirmation of the post-earnings-announcement drift documented in the US.

Number of Pages in PDF File: 48

Keywords: Post-earnings-announcement drift, market efficiency, earnings surprises

JEL Classification: G14, M41

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Date posted: January 25, 2001  

Suggested Citation

Liu, Weimin, Strong, Norman C. and Xu, Xinzhong Xinzhong, Post-earnings-announcement Drift in the UK (July 2000). LUMS Working Paper No. 2000/010. Available at SSRN: http://ssrn.com/abstract=249959 or http://dx.doi.org/10.2139/ssrn.249959

Contact Information

Weimin Liu
Nottingham University Business School ( email )
Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB
United Kingdom
Norman Charles Strong
University of Manchester - Manchester Business School ( email )
Booth Street West
Manchester, M15 6PB
United Kingdom
HOME PAGE: http://www.personal.mbs.ac.uk/nstrong/
Gary Xinzhong Xu (Contact Author)
Peking University - Guang Hua School of Management ( email )
Peking University
Beijing, 100871
China
Feedback to SSRN (Beta)


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