Adaptive Market Hypothesis And Overconfidence Bias
Abstract
This paper examines the effect of excessive investor confidence on market efficiency. We study this impact for 21 developed markets and 25 emerging markets for a period from January 2006 until June 2020. First, we estimate weak market efficiency using the auto-correlation test (Ljung-Box, 1978). Thus, based on the adaptive approach, we assume that the overconfidence of investors has a negative impact on market efficiency. Concerning the over-confidence variable; we use the transaction volume decomposition method of Chuang and Lee (2006). Finally, we used the logit panel model to study the impact the impact of investor overconfidence on market efficiency. The result shows that during our study period, the trust bias had no impact either on the efficiency of developed markets or on the efficiency of emerging markets. We attribute this result to successive crises during our study period, including the subprime crisis, the eurozone crisis, the stock market crash in China, and the COVID crisis, which likely caused investors to become pessimistic and lose confidence in the stock market.
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References
Abbes, M. (2013). Does Overconfidence Bias Explain Volatility During the Global Financial Crisis? Transition Studies Review, 19, 291-312. https://doi.org/10.1007/s11300-012-0234-6
Abedini, B. (n.d.). Weak-form efficiency: stock market in the Gulf Cooperation Council countries. SCMS Journal of Indian Management, 2009, 15-20.
Almail, A., & Almudhaf, F. (2017). Adaptive Market Hypothesis: Evidence from three centuries of UK data. Economics and Business Letters, 6(2), 48-53.
Aumeboonsuke, V., & Dryver, A. L. (2014). The importance of using a test of weak-form market efficiency that does not require investigating the data first. International Review of Economics & Finance, 33, 350-357. https://doi.org/10.1016/j.iref.2014.02.009
Barber, B. M., & Odean, T. (2001). Boys will be Boys: Gender, Overconfidence, and Common Stock Investment. The Quarterly Journal of Economics, 116, 261-292. https://doi.org/10.1162/003355301556400
Boujelbène, M., Boujelbène, Y., & Bouri, A. (2009). Overconfidence bias: Explanation of market anomalies French market case. Journal of Applied Economic Sciences, 4.
Boussaidi, R. (2022). Implications of the overconfidence bias in presence of private information: Evidence from MENA stock markets. International Journal of Finance & Economics, 27(3), 3660-3678. https://doi.org/10.1002/ijfe.2343
Boya, C. M. (2019). From efficient markets to adaptive markets: Evidence from the French stock exchange. Research in International Business and Finance, 49, 156-165. https://doi.org/10.1016/j.ribaf.2019.03.005
Chkioua, D. H. (2021). Excess Volatility in the Tunisian Stock Market: Explanation by Behavioral Finance. South Asian Journal of Social Studies and Economics, 12, 1-11. https://doi.org/10.9734/sajsse/2021/v12i430310
Chuang, W.-I., & Lee, B.-S. (2006). An empirical evaluation of the overconfidence hypothesis. Journal of Banking & Finance, 30, 2489-2515. https://doi.org/10.1016/j.jbankfin.2005.08.007
Daniel, K., Hirshleifer, D., & Subrahmanyam, A. (1998). Investor Psychology and Security Market Under- and Overreactions. The Journal of Finance, 53, 1839-1885. https://doi.org/10.1111/0022-1082.00077
Daniel, K. D., Hirshleifer, D., & Subrahmanyam, A. (2001). Overconfidence, Arbitrage, and Equilibrium Asset Pricing. The Journal of Finance, 56, 921-965. https://doi.org/10.1111/0022-1082.00350
Drury, C. (2008). Management and Cost Accounting. Retrieved from https://www.perlego.com/fr/book/2105539/management-and-cost-accounting-pdf
Ertaş, F., & Özkan, O. (2018). Piyasa Etkinliği Açısından Adaptif Piyasa Hipotezi'nin Test Edilmesi: Türkiye ve ABD Hisse Senedi Piyasaları Örneği-Testing the Adaptive Market Hypothesis in Terms of Market Efficiency: The Case of Turkey and the US Stock Markets, 642, 23-40.
Fama, E. F. (1970). Efficient Capital Markets: A Review of Theory and Empirical Work. The Journal of Finance, 25, 383-417. https://doi.org/10.2307/2325486
Fama, E. F. (1965). The Behavior of Stock-Market Prices.
Farmer, J. D., & Lo, A. W. (1999). Frontiers of finance: evolution and efficient markets. Proc Natl Acad Sci U S A, 96, 9991-9992. https://doi.org/10.1073/pnas.96.18.9991
Frankfurter, G., & Mcgoun, E. (2001). Anomalies in finance: What are they and what are they good for? International Review of Financial Analysis, 10, 407-429. https://doi.org/10.1016/S1057-5219(01)00061-8
Giglio, S., Maggiori, M., Rao, K., Stroebel, J., & Weber, A. (2021). Climate Change and Long-Run Discount Rates: Evidence from Real Estate. The Review of Financial Studies, 34, 3527-3571. https://doi.org/10.1093/rfs/hhab032
Hiremath, G. S., & Narayan, S. (2016). Testing the adaptive market hypothesis and its determinants for the Indian stock markets. Finance Research Letters, 19, 173-180. https://doi.org/10.1016/j.frl.2016.07.009
Hirshleifer, D., & Shumway, T. (2003). Good Day Sunshine: Stock Returns and the Weather. The Journal of Finance, 58, 1009-1032. https://doi.org/10.1111/1540-6261.00556
Jlassi, M., Naoui, K., & Mansour, W. (2014). Overconfidence Behavior and Dynamic Market Volatility: Evidence from International Data. Procedia Economics and Finance, 13, 128-142. https://doi.org/10.1016/S2212-5671(14)00435-3
Kim, J. H., Shamsuddin, A., & Lim, K.-P. (2011). Stock return predictability and the adaptive markets hypothesis: Evidence from century-long U.S. data. Journal of Empirical Finance, 18, 868-879. https://doi.org/10.1016/j.jempfin.2011.08.002
Kılıç, Y. (2020). Adaptive Market Hypothesis: Evidence from the Turkey Stock Market.
Kruger, J. W., & Vatiswa, Nthoesane, M. G. (2011). Share Price Reaction to Earnings Announcement on the JSE-ALTX. https://doi.org/10.2139/ssrn.1935198
Ljung, G. M., & Box, G. E. P. (1978). On a measure of lack of fit in time series models. Biometrika, 65, 297-303. https://doi.org/10.1093/biomet/65.2.297
Lo, A. W. (2019). Adaptive markets: financial evolution at the speed of thought. Princeton University Press. https://doi.org/10.1515/9780691196800
Lo, A. W. (2012). Adaptive Markets and the New World Order. MIT web domain. https://doi.org/10.2139/ssrn.1977721
Lo, A. W. (2005). Reconciling Efficient Markets with Behavioral Finance: The Adaptive Markets Hypothesis (SSRN Scholarly Paper No. ID 1702447). Social Science Research Network, Rochester, NY.
Lo, A. W. (2004). The Adaptive Markets Hypothesis: Market Efficiency from an Evolutionary Perspective (SSRN Scholarly Paper No. ID 602222). Social Science Research Network, Rochester, NY.
Montier, J. (2002). Darwin's Mind: The Evolutionary Foundations of Heuristics and Biases. https://doi.org/10.2139/ssrn.373321
Mushinada, V. N. C., & Veluri, V. S. S. (2018). Investors overconfidence behaviour at Bombay Stock Exchange. International Journal of Managerial Finance, 14, 613-632. https://doi.org/10.1108/IJMF-05-2017-0093
Naseem, S., Mohsin, M., Hui, W., Liyan, G., & Penglai, K. (2021a). The Investor Psychology and Stock Market Behavior During the Initial Era of COVID-19: A Study of China, Japan, and the United States. Front Psychol, 12, 626934. https://doi.org/10.3389/fpsyg.2021.626934
Naseem, S., Mohsin, M., Hui, W., Liyan, G., & Penglai, K. (2021b). The Investor Psychology and Stock Market Behavior During the Initial Era of COVID-19: A Study of China, Japan, and the United States. Front Psychol, 12, 626934. https://doi.org/10.3389/fpsyg.2021.626934
Neely, C. J., Weller, P. A., & Ulrich, J. M. (2009). The Adaptive Markets Hypothesis: Evidence from the Foreign Exchange Market. The Journal of Financial and Quantitative Analysis, 44, 467-488. https://doi.org/10.1017/S0022109009090103
Odean, T. (1998). Are Investors Reluctant to Realize Their Losses? The Journal of Finance, 53, 1775-1798. https://doi.org/10.1111/0022-1082.00072
Phan Tran Trung, D., & Pham Quang, H. (2019). Adaptive Market Hypothesis: Evidence from the Vietnamese Stock Market. Journal of Risk and Financial Management, 12, 81. https://doi.org/10.3390/jrfm12020081
Pikulina, E., Renneboog, L., & Tobler, P. N. (2017). Overconfidence and investment: An experimental approach. Journal of Corporate Finance, 43, 175-192. https://doi.org/10.1016/j.jcorpfin.2017.01.002
Rossi, M. (2015). The efficient market hypothesis and calendar anomalies: a literature review. International Journal of Managerial and Financial Accounting, 7, 285-296. https://doi.org/10.1504/IJMFA.2015.074905
Shiller, R. J. (2003). From Efficient Markets Theory to Behavioral Finance. Journal of Economic Perspectives, 17, 83-104. https://doi.org/10.1257/089533003321164967
Shrotryia, V. K., & Kalra, H. (2021a). COVID-19 and overconfidence bias: the case of developed, emerging and frontier markets. International Journal of Emerging Markets, 18, 633-665. https://doi.org/10.1108/IJOEM-09-2020-1019
Shrotryia, V. K., & Kalra, H. (2021b). Herding in the crypto market: a diagnosis of heavy distribution tails. Review of Behavioral Finance, 14, 566-587. https://doi.org/10.1108/RBF-02-2021-0021
Simon, H. A. (1955). On a Class of Skew Distribution Functions. Biometrika, 42, 425-440. https://doi.org/10.2307/2333389
Statman, M., Thorley, S., & Vorkink, K. (2006). Investor Overconfidence and Trading Volume. The Review of Financial Studies, 19, 1531-1565. https://doi.org/10.1093/rfs/hhj032
Subash, R. (2012). Role of Behavioral Finance in Portfolio Investment Decisions: Evidence from India.
Thaler, R. H. (2005). Advances in Behavioral Finance, Volume II. Princeton University Press. https://doi.org/10.1515/9781400829125
Thaler, R. H. (1999). Mental accounting matters. Journal of Behavioral Decision Making, 12, 183-206. https://doi.org/10.1002/(SICI)1099-0771(199909)12:3<183::AID-BDM318>3.0.CO;2-F
Zafar, Z., & Siddiqui, D. A. (2020). Behavioral Finance Perspectives on Pakistan Stock Market Efficiency: Assessing the Prospect Theory Empirically Using Adaptive Pattern of Efficiency across Military and Democratic Phases. https://doi.org/10.2139/ssrn.3683106
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Copyright (c) 2024 Manel Mahjoubi, Jamel Eddine Henchiri

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