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Stock Investment and Excess Returns: A Critical Review in the Light of the Efficient Market Hypothesis

1
Business School, Sichuan University, Chengdu 610065, China
2
School of Public Finance and Taxation, South Western University of Finance and Economics, Chengdu 610065, China
3
Noon of Business School, University of Sargodha, Sargodha 40100, Pakistan
4
Lahore Business School, The University of Lahore, Sargodha Campus, Sargodha 40100, Pakistan
*
Authors to whom correspondence should be addressed.
J. Risk Financial Manag. 2019, 12(2), 97; https://doi.org/10.3390/jrfm12020097
Received: 19 April 2019 / Revised: 29 May 2019 / Accepted: 30 May 2019 / Published: 8 June 2019
(This article belongs to the Special Issue Review Papers for Journal of Risk and Financial Management (JRFM))
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Abstract

The expansion of investment strategies and capital markets is altering the significance and empirical rationality of the Efficient Market Hypothesis. The vitality of capital markets is essential for efficiency research. The authors explore here the development and contemporary status of the efficient market hypothesis by emphasizing anomaly/excess returns. Investors often fail to get excess returns; however, thus far, market anomalies have been witnessed and stock prices have diverged from their intrinsic value. This paper presents an analysis of anomaly returns in the presence of the theory of the efficient market. Moreover, the market efficiency progression is reviewed and its present status is explored. Finally, the authors provide enough evidence of a data snooping issue, which violates and challenges the existing proof and creates room for replication studies in modern finance. View Full-Text
Keywords: excess returns; efficient market hypothesis; data snooping; investment and capital markets excess returns; efficient market hypothesis; data snooping; investment and capital markets
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Ying, Q.; Yousaf, T.; Ain, Q.; Akhtar, Y.; Rasheed, M.S. Stock Investment and Excess Returns: A Critical Review in the Light of the Efficient Market Hypothesis. J. Risk Financial Manag. 2019, 12, 97.

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