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Technical, Fundamental, and Combined Information for Separating Winners from Losers


Cheng-Few Lee


Rutgers University, Newark, School of Business-Newark, Department of Finance & Economics

Wei-Kang Shih


Rutgers, The State University of New Jersey - Rutgers Business School at Newark & New Brunswick

Hong-Yi Chen


Natioal Cental University at Taiwan -Department of Finance; Rutgers University, Newark, School of Business-Newark, Department of Finance & Economics

April 15, 2010


Abstract:     
The main purpose of this paper is to use both fundamental and technical information to improve the technical momentum strategy. We examine how fundamental accounting information along with the technical information such as past returns and past trading volume data can be used by investors to separate momentum winners from losers. Previous research has shown that the technical momentum strategy based on the past winners and losers in terms of cumulative returns, generates significantly positive returns in the subsequent periods. This paper proposes a unified framework of incorporating the fundamental indicators FSCORE (Piotroski (2000)) and GSCORE (Mohanram (2005)) into the technical momentum strategy. We have developed three hypotheses to test whether combined momentum strategy outperform the technical momentum strategy or not. From the empirical results of these three hypotheses, we conclude that the combined momentum strategy outperforms technical momentum strategy by generating significantly larger returns for both growth and value stocks.

Number of Pages in PDF File: 44

Keywords: Fundamental Analysis, Financial Statement Analysis, Momentum Strategies, Value Investing, Growth Investing, Trading Volume, Technical Analysis

JEL Classification: M41, G11, G12, G14

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Date posted: April 16, 2010 ; Last revised: December 1, 2011

Suggested Citation

Lee, Cheng-Few, Shih, Wei-Kang and Chen, Hong-Yi, Technical, Fundamental, and Combined Information for Separating Winners from Losers (April 15, 2010). Available at SSRN: http://ssrn.com/abstract=1590460 or http://dx.doi.org/10.2139/ssrn.1590460

Contact Information

Cheng-Few Lee
Rutgers University, Newark, School of Business-Newark, Department of Finance & Economics ( email )
111 Washington Avenue
Newark, NJ 07102
United States
732-445-3907 (Phone)
732-445-5927 (Fax)
Wei-Kang Shih (Contact Author)
Rutgers, The State University of New Jersey - Rutgers Business School at Newark & New Brunswick ( email )
Janice H. Levin Bldg., Room 121
94 Rockafeller Road
Piscataway, NJ 08854-8054
United States
Hong-Yi Chen
Natioal Cental University at Taiwan -Department of Finance ( email )
No. 300, Jhongda Rd., Jhongli City
Taoyan, 32001
Taiwan
+886-34227151-66282 (Phone)
+886-34252961 (Fax)
Rutgers University, Newark, School of Business-Newark, Department of Finance & Economics ( email )
111 Washington Avenue
Newark, NJ 07102
United States
Feedback to SSRN (Beta)


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