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Determinants of Adaptive Behaviour in Stock Market: A Review

Author

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  • Diana Saldanha
  • T. Mallikarjunappa
  • Kofi Mintah Oware

Abstract

This article is an attempt to determine the factors that are involved making the stock market behave in a manner consistent with the Adaptive Market Hypothesis (AMH). We have followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology to select appropriate articles that meet our research objectives and carried out a bibliometric analysis to obtain a network visualization map based on keyword co-occurrences. We find that most of the studies have focused primarily on the return predictability aspect of stock returns. We suggest that the methodology should be extended towards incorporating other aspects of adaptive behaviours, such as investor behaviour, cyclical profitability of trading strategies and price–volume relationships in order to get a more comprehensive picture of the nature of adaptive stock markets. The review also demonstrates how the location of the stock market and methodology used in study influences the conclusions drawn regarding the nature of adaptive efficiency.

Suggested Citation

  • Diana Saldanha & T. Mallikarjunappa & Kofi Mintah Oware, 2025. "Determinants of Adaptive Behaviour in Stock Market: A Review," Vision, , vol. 29(1), pages 112-124, February.
    • Handle: RePEc:sae:vision:v:29:y:2025:i:1:p:112-124
    DOI: 10.1177/09722629221148809
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    1. Noda, Akihiko, 2016. "A test of the adaptive market hypothesis using a time-varying AR model in Japan," Finance Research Letters, Elsevier, vol. 17(C), pages 66-71.
    2. Kunal Saha & Vinodh Madhavan & G. R. Chandrashekhar, 2021. "Relative efficiency of equity ETFs: an adaptive market hypothesis perspective," Applied Economics Letters, Taylor & Francis Journals, vol. 28(14), pages 1202-1207, August.
    3. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    4. repec:eme:mfppss:mf-01-2020-0013 is not listed on IDEAS
    5. Katusiime, Lorna & Shamsuddin, Abul & Agbola, Frank W., 2015. "Foreign exchange market efficiency and profitability of trading rules: Evidence from a developing country," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 315-332.
    6. Richard Apau & Peter Moores-Pitt & Paul-Francois Muzindutsi, 2021. "Regime-Switching Determinants of Mutual Fund Performance in South Africa," Economies, MDPI, vol. 9(4), pages 1-20, October.
    7. Sashikanta Khuntia & J.K. Pattanayak, 2021. "Adaptive calendar effects and volume of extra returns in the cryptocurrency market," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 17(9), pages 2137-2165, February.
    8. Biswabhusan Bhuyan & Subhamitra Patra & Ranjan Kumar Bhuian, 2020. "Market Adaptability and Evolving Predictability of Stock Returns: An Evidence from India," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 27(4), pages 605-619, December.
    9. Kent D. Daniel & David Hirshleifer & Avanidhar Subrahmanyam, 2001. "Overconfidence, Arbitrage, and Equilibrium Asset Pricing," Journal of Finance, American Finance Association, vol. 56(3), pages 921-965, June.
    10. Andrew Urquhart, 2017. "How predictable are precious metal returns?," The European Journal of Finance, Taylor & Francis Journals, vol. 23(14), pages 1390-1413, November.
    11. Al-Khazali, Osamah & Mirzaei, Ali, 2017. "Stock market anomalies, market efficiency and the adaptive market hypothesis: Evidence from Islamic stock indices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 190-208.
    12. Ivanova, Yuliya & Neely, Christopher J. & Weller, Paul & Famiglietti, Matthew T., 2021. "Can risk explain the profitability of technical trading in currency markets?," Journal of International Money and Finance, Elsevier, vol. 110(C).
    13. Ray Ball, 2009. "The Global Financial Crisis and the Efficient Market Hypothesis: What Have We Learned?," Journal of Applied Corporate Finance, Morgan Stanley, vol. 21(4), pages 8-16, September.
    14. Kinga Niemczak & Graham Smith, 2013. "Middle Eastern stock markets: absolute, evolving and relative efficiency," Applied Financial Economics, Taylor & Francis Journals, vol. 23(3), pages 181-198, February.
    15. Kalugala Vidanalage Aruna Shantha & Chen Xiaofang & L.P.S. Gamini, 2018. "A conceptual framework on individual investors’ learning behavior in the context of stock trading: An integrated perspective," Cogent Economics & Finance, Taylor & Francis Journals, vol. 6(1), pages 1544062-154, January.
    16. Okorie, David Iheke & Lin, Boqiang, 2021. "Adaptive market hypothesis: The story of the stock markets and COVID-19 pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    17. De Bondt, Werner F M & Thaler, Richard, 1985. "Does the Stock Market Overreact?," Journal of Finance, American Finance Association, vol. 40(3), pages 793-805, July.
    18. Xiong, Xiong & Meng, Yongqiang & Li, Xiao & Shen, Dehua, 2019. "An empirical analysis of the Adaptive Market Hypothesis with calendar effects:Evidence from China," Finance Research Letters, Elsevier, vol. 31(C).
    19. repec:pri:cepsud:91malkiel is not listed on IDEAS
    20. Emmanuel Numapau Gyamfi, 2018. "Adaptive Market Hypothesis: Evidence from the Ghanaian Stock Market," Journal of African Business, Taylor & Francis Journals, vol. 19(2), pages 195-209, April.
    21. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    22. Plastun, Alex & Sibande, Xolani & Gupta, Rangan & Wohar, Mark E., 2020. "Halloween Effect in developed stock markets: A historical perspective," International Economics, Elsevier, vol. 161(C), pages 130-138.
    23. Plastun, Alex & Sibande, Xolani & Gupta, Rangan & Wohar, Mark E., 2021. "Evolution of price effects after one-day abnormal returns in the US stock market," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    24. repec:eme:mfppss:mf-08-2019-0396 is not listed on IDEAS
    25. Okoroafor, Ugochi Chibuzor & Leirvik, Thomas, 2022. "Time varying market efficiency in the Brent and WTI crude market," Finance Research Letters, Elsevier, vol. 45(C).
    26. Urquhart, Andrew & McGroarty, Frank, 2016. "Are stock markets really efficient? Evidence of the adaptive market hypothesis," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 39-49.
    27. Kim, Jae H. & Shamsuddin, Abul & Lim, Kian-Ping, 2011. "Stock return predictability and the adaptive markets hypothesis: Evidence from century-long U.S. data," Journal of Empirical Finance, Elsevier, vol. 18(5), pages 868-879.
    28. Adefemi A. Obalade & Paul-Francois Muzindutsi, 2020. "Static or adaptive? the month-of-the-year and intra-month effects in African stock markets," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 13(3), pages 215-234.
    29. Muhammad Naeem Shahid & Malik Jehanzeb & Aamir Abbas & Ahsan Zubair & Mahmood A. Hussain Akbar, 2020. "Predictability of precious metals and adaptive market hypothesis," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 15(5), pages 1011-1027, January.
    30. Rahman, Md. Lutfur & Lee, Doowon & Shamsuddin, Abul, 2017. "Time-varying return predictability in South Asian equity markets," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 179-200.
    31. Nektarios A. Michail, 2019. "Stock market predictability 2000-2014: the effect of the great recession," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 10(2), pages 162-180.
    32. Hiremath, Gourishankar S & Kumari, Jyoti, 2014. "Stock returns predictability and the adaptive market hypothesis in emerging markets: evidence from India," MPRA Paper 58378, University Library of Munich, Germany.
    33. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    34. George Chalamandaris, 2020. "Assessing the relevance of an information source to trading from an adaptive-markets hypothesis perspective," Quantitative Finance, Taylor & Francis Journals, vol. 20(7), pages 1101-1122, July.
    35. Tran, Vu Le & Leirvik, Thomas, 2020. "Efficiency in the markets of crypto-currencies," Finance Research Letters, Elsevier, vol. 35(C).
    36. Urquhart, Andrew & Gebka, Bartosz & Hudson, Robert, 2015. "How exactly do markets adapt? Evidence from the moving average rule in three developed markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 38(C), pages 127-147.
    37. Shahid, Muhammad Naeem & Latif, Khalid & Chaudhary, Ghulam Mujtaba & Kouser, Rehana, 2020. "Vacillating Behavior of TOM Effect and Adaptive Market Hypothesis: A Firm Level Evidence from Emerging Stock Market of Pakistan," Journal of Business and Social Review in Emerging Economies, CSRC Publishing, Center for Sustainability Research and Consultancy Pakistan, vol. 6(2), pages 517-529, June.
    38. Robert J. Shiller, 2003. "From Efficient Markets Theory to Behavioral Finance," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 83-104, Winter.
    39. Fahad Almudhaf, 2018. "Predictability, Price Bubbles, and Efficiency in the Indonesian Stock-Market," Bulletin of Indonesian Economic Studies, Taylor & Francis Journals, vol. 54(1), pages 113-124, January.
    40. Kian-Ping Lim & Weiwei Luo & Jae H. Kim, 2013. "Are US stock index returns predictable? Evidence from automatic autocorrelation-based tests," Applied Economics, Taylor & Francis Journals, vol. 45(8), pages 953-962, March.
    41. Ashok Chanabasangouda Patil & Shailesh Rastogi, 2020. "Multifractal Analysis of Market Efficiency across Structural Breaks: Implications for the Adaptive Market Hypothesis," JRFM, MDPI, vol. 13(10), pages 1-18, October.
    42. Muhammad Naeem Shahid & Semei Coronado & Abdul Sattar, 2019. "Stock market behaviour: efficient or adaptive? Evidence from the Pakistan Stock Exchange," Afro-Asian Journal of Finance and Accounting, Inderscience Enterprises Ltd, vol. 9(2), pages 167-192.
    43. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 59-82, Winter.
    44. Jian Zhou & Jin Man Lee, 2013. "Adaptive market hypothesis: evidence from the REIT market," Applied Financial Economics, Taylor & Francis Journals, vol. 23(21), pages 1649-1662, November.
    45. Urquhart, Andrew & McGroarty, Frank, 2014. "Calendar effects, market conditions and the Adaptive Market Hypothesis: Evidence from long-run U.S. data," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 154-166.
    46. Viktor Manahov & Robert Hudson & Andrew Urquhart, 2019. "High‐frequency trading from an evolutionary perspective: Financial markets as adaptive systems," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(2), pages 943-962, April.
    47. Hiremath, Gourishankar S. & Narayan, Seema, 2016. "Testing the adaptive market hypothesis and its determinants for the Indian stock markets," Finance Research Letters, Elsevier, vol. 19(C), pages 173-180.
    48. Akihiko Noda, 2021. "On the evolution of cryptocurrency market efficiency," Applied Economics Letters, Taylor & Francis Journals, vol. 28(6), pages 433-439, March.
    49. Adefemi A. Obalade & Paul-Francois Muzindutsi, 2020. "Validating the adaptive market hypothesis in the Tunisian stock market," International Journal of Trade and Global Markets, Inderscience Enterprises Ltd, vol. 13(1), pages 42-51.
    50. Eugene F. Fama & Kenneth R. French, 2010. "Luck versus Skill in the Cross‐Section of Mutual Fund Returns," Journal of Finance, American Finance Association, vol. 65(5), pages 1915-1947, October.
    51. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    52. Mikio Ito & Akihiko Noda & Tatsuma Wada, 2016. "The evolution of stock market efficiency in the US: a non-Bayesian time-varying model approach," Applied Economics, Taylor & Francis Journals, vol. 48(7), pages 621-635, February.
    53. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    54. Gourishankar S. Hiremath & Hari Venkatesh & Manish Choudhury, 2019. "Sports sentiment and behavior of stock prices: a case of T-20 and IPL cricket matches," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 11(3), pages 266-276, August.
    55. Jasman Tuyon & Zamri Ahmad, 2021. "Dynamic risk attributes in Malaysia stock markets: Behavioural finance insights," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5793-5814, October.
    56. Ghazani, Majid Mirzaee & Ebrahimi, Seyed Babak, 2019. "Testing the adaptive market hypothesis as an evolutionary perspective on market efficiency: Evidence from the crude oil prices," Finance Research Letters, Elsevier, vol. 30(C), pages 60-68.
    57. Hanxiong Zhang & Andrew Urquhart, 2019. "Pairs trading across Mainland China and Hong Kong stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(2), pages 698-726, April.
    58. Cesario Mateus & Bao Trung Hoang, 2021. "Frontier Markets, Liberalization and Informational Efficiency: Evidence from Vietnam," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(4), pages 499-526, December.
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