Advances in Economics, Management and Political Sciences
- The Open Access Proceedings Series for Conferences
Series Vol. 31 , 10 November 2023
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This literature review offers a comprehensive examination of the Efficient Market Hypothesis (EMH) and Behavioral Finance, as well as their respective implementations in the realm of stock markets. The EMH asserts that financial markets are efficient and that prices accurately reflect all available information. On the other hand, Behavioral Finance recognizes that individuals often make irrational investment decisions based on cognitive biases and emotions. This article explores the interplay between these theories in different applications, including information and communication technology, the stock market’s efficiency and anomalies, and the Adaptive Markets Hypothesis (AMH). This review suggests that while EMH provides a theoretical framework for understanding the efficiency of financial markets, Behavioral Finance offers valuable perspectives on the constraints of logical decision-making and the impact of human behavior on market results. The Adaptive Market Hypothesis provides a third choice balancing the EMH and Behavior Finance. Overall, the article the paper presents a thorough examination of the EMH, Behavioral Finance, and the AMH, along with their respective implementations in stock markets. It highlights the importance of understanding the interplay between these theories to gain a better understanding of financial markets and make informed investment decisions.
EMH, behavioral finance, stock market, AMH
1. Bachelier, L.: Théorie de la spéculation. Annales Scientifiques de l’Ecole Normale Superieure. Quatrieme Serie, 17, 21–86 (1900).
2. Fama, E. F.: Efficient Capital Markets: A Review of Theory and Empirical Work. The Journal of Finance, 25(2), 383 (1970).
3. Daniel, K., Hirshleifer, D., & Subrahmanyam, A.: Investor Psychology and Security Market Under- and Overreactions. The Journal of Finance, 53(6), 1839–1885 (1998).
4. Fama, E. F.: Efficient Capital Markets: II. The Journal of Finance, 46(5), 1575–1617 (1991).
5. Sharpe, W. F.: Efficient Capital Markets: A Review of Theory and Empirical Work: Discussion. The Journal of Finance, 25(2), 418 (1970).
6. Jensen, M. C., Black, F., & Scholes, M. S.: The Capital Asset Pricing Model: Some Empirical Tests. SSRN Electronic Journal (1972).
7. Fama, E. F., & French, K. R.: The Capital Asset Pricing Model: Theory and Evidence. The Journal of Economic Perspectives: A Journal of the American Economic Association, 18(3), 25–46 (2004).
8. Jensen, M. C.: Some anomalous evidence regarding market efficiency. Journal of Financial Economics, 6(2–3), 95–101 (1978).
9. Grossman, S. J.: On the Impossibility of Informationally Efficient Markets. SSRN Electronic Journal (1980).
10. Stout, L. A.: How Efficient Markets Undervalue Stocks: CAPM and Ecmh Under Conditions of Uncertainty and Disagreement. SSRN Electronic Journal (1997).
11. Fama, E. F.: Market efficiency, long-term returns, and behavioral finance. Journal of Financial Economics, 49(3), 283–306 (1998).
12. Keiber, K. L.: Reconsidering the impossibility of informationally efficient markets. Applied Financial Economics, 17(14), 1113–1122 (2007).
13. Shleifer, A., & Vishny, R. W.: The limits of arbitrage. The Journal of Finance, 52(1), 35–55 (1997).
14. Malkiel, B. G.: Reflections on the efficient market hypothesis: 30 years later. Financial Review, 40(1), 1–9 (2005).
15. Lo, A. W.: The adaptive markets hypothesis. The Journal of Portfolio Management, 30(5), 15–29 (2004).
16. Urquhart, A., & Hudson, R.: Efficient or adaptive markets? Evidence from major stock markets using very long run historic data. International Review of Financial Analysis, 28, 130–142 (2013).
17. Urquhart, A., & McGroarty, F.: Are stock markets really efficient? Evidence of the adaptive market hypothesis. International Review of Financial Analysis, 47, 39–49 (2016).
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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