A Comparative Study on Efficient Market Hypothesis and Adaptive Market Hypothesis in Indian Stock Market

References

[1] Andrew Urquhart, Frank McGroarty (2016). Are Stock Markets Really Efficient? Evidence of the Adaptive Market Hypothesis. https://doi.org/10.1016/j.irfa.2016.06.011

[2] Gourishankar S. Hiremath, Seema Narayan (2016) Testing the Adaptive Market Hypothesis and its Determinants for the Indian Stock Markets. https://doi.org/10.1016/j.frl.2016.07.009

[3] Andrew W. Lo (2004) The Adaptive Markets Hypothesis: Market Efficiency from an Evolutionary Perspective. https://doi.org/10.3905/jpm.2004.442611

[4] Jannatunnesa, Nurul Shahnaz Mahdzan, Abu Hanifa Md Noman (2026) Adaptability Factors and Behavioural Biases of Investors in Frontier Markets: An Adaptive Market Hypothesis Perspective. https://doi.org/10.1371/journal.pone.0345883

[5] Jeffrey Chu, Yuanyuan Zhang (2019) The Adaptive Market Hypothesis in the High Frequency Cryptocurrency Market. https://doi.org/10.1016/j.irfa.2019.101299

[6] Gourishankar S. Hiremath (2014) Stock Returns Predictability and the Adaptive Market Hypothesis in Emerging Markets: Evidence from India. https://doi.org/10.1016/j.econmod.2014.06.017

[7] Mikael Rönkkö, Joonas Holmi, Mervi Niskanen (2024) The Adaptive Markets Hypothesis: Insights into Small Stock Market Efficiency. https://doi.org/10.1016/j.ribaf.2024.102525

[8] Ke Meng, Shouhao Li (2021) The Adaptive Market Hypothesis and High Frequency Trading. https://doi.org/10.1016/j.frl.2021.102263

[9] Umara Noreen, Attayah Shafique, Usman Ayub, Syed Kashif Saeed (2022) Does the Adaptive Market Hypothesis Reconcile the Behavioural Finance and the Efficient Market Hypothesis? https://doi.org/10.1016/j.jbef.2022.100655

[10] Yuanyuan Zhang, Stephen Chan (2022) The Adaptive Market Hypothesis of Decentralized Finance (DeFi). https://doi.org/10.1016/j.frl.2022.102889

[11] Jian Zhou (2013) Adaptive Market Hypothesis: Evidence from the REIT Market. https://doi.org/10.1080/00036846.2013.770124

[12] David Iheke Okorie, Boqiang Lin (2020) Adaptive Market Hypothesis: The Story of the Stock Markets and COVID-19 Pandemic. https://doi.org/10.1016/j.najef.2020.101397

[13] Ambreen Khursheed (2021) Adaptive Market Hypothesis: An Empirical Analysis of Time-Varying Market Efficiency of Cryptocurrencies. https://doi.org/10.1002/ijfe.2488

[14] Ashok Chanabasangouda Patil, Shailesh Rastogi (2025) Multifractal Analysis of Market Efficiency across Structural Breaks: Implications for the Adaptive Market Hypothesis. https://doi.org/10.1007/s11156-025-01351-7

[15] K. Al-Zaubi, M. Al-Najdawi (2010) Financial Markets Efficiency: Empirical Evidence from Some Middle East & North Africa Countries (MENA). https://doi.org/10.5539/ijef.v2n3p132

[16] H. Kent Baker, John R. Nofsinger (Editors) (2010) Behavioural Finance: Investors, Corporations, and Markets. https://doi.org/10.1002/9781119202400

[17] Virmantas Kvedaras, Olivier Basdevant (2002) Testing the Efficiency of Emerging Markets: The Case of the Baltic States. https://www.imf.org/external/pubs/ft/wp/2002/wp02120.pdf

[18] Maria Rosa Borges (2008) Efficient Market Hypothesis in European Stock Markets. https://doi.org/10.1007/s10690-007-9061-2

[19] Elroy Dimson, Massoud Mussavian (2000) Market Efficiency. In The Current State of Business Disciplines. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=260141

[20] Eugene F. Fama (1965) Random Walks in Stock Market Prices. https://doi.org/10.1086/294743

[21] National Stock Exchange of India (NSE). Historical Market Data. https://www.nseindia.com

[22] Securities and Exchange Board of India (SEBI). Annual Reports and Market Regulations. https://www.sebi.gov.in

[23] Reserve Bank of India (RBI). Reports on Indian Financial Markets. https://www.rbi.org.in

[24] Ministry of Finance, Government of India. https://www.finmin.gov.in

@article{1722151,
      author = {Shilpa Shekhargouda Dadmi, Prof. Maruthi V},
      title = {A Comparative Study on Efficient Market Hypothesis and Adaptive Market Hypothesis in Indian Stock Market},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {10},
      number = {2},
      pages = {648-652},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1722151.pdf},
      abstract = {Efficient Market Hypothesis (EMH) has always been considered a theory that best explains the working of the stock market on the grounds of stock prices being perfectly reflecting all information available. However, market anomalies, financial crises, and behavioural biases raised questions against this theory, resulting in the formulation of the Adaptive Market Hypothesis (AMH). This hypothesis states that market efficiency keeps changing with changing market conditions. Therefore, this study attempts to make a comparison between the two hypotheses with regard to the Indian stock market based on the analysis of NIFTY 50 Index. Quantitative approach is taken up for this study using secondary data collected from the National Stock Exchange (NSE) over the period from April 2011 to March 2026. Efficiency of the market is determined with the help of various statistical tests that include Runs Test, Autocorrelation Test, Variance Ratio Test, and rolling window test. It was found that there is a mixed result with respect to market efficiency. While the results from Runs Test and Autocorrelation Test suggest the existence of serial dependency and periods of inefficiency, the results from Variance Ratio Test suggest random walk over the entire time horizon. Moreover, the results of rolling window test show that market efficiency changes with changing economic and financial scenarios over time. It can thus be concluded that Adaptive Market Hypothesis has a better application in the case of Indian stock market due to changing economic conditions and behaviour of investors.},
      keywords = {Efficient Market Hypothesis, Adaptive Market Hypothesis, Indian stock market, Random walk, NIFTY 50, Behavioural Finance },
      month = {August},
      doi = {https://doi.org/10.64388/IREV10I2-1722151}
  }