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Is the efficient market hypothesis day-of-the-week dependent? Evidence from the banking sector

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  • Paresh Kumar Narayan
  • Seema Narayan
  • Stephan Popp
  • Huson Ali Ahmed

Abstract

In this article, we propose a new hypothesis: that the efficient market hypothesis is day-of-the-week-dependent. We apply the test to firms belonging to the banking sector and listed on the NYSE. We find significant evidence that the efficient market hypothesis is day-of-the-week-dependent. Overall, for only 62% of firms, the unit root null hypothesis is rejected on all the five trading days. We also discover that when investors do not account for unit root properties in devising trading strategies, they obtain spurious profits.

Suggested Citation

  • Paresh Kumar Narayan & Seema Narayan & Stephan Popp & Huson Ali Ahmed, 2015. "Is the efficient market hypothesis day-of-the-week dependent? Evidence from the banking sector," Applied Economics, Taylor & Francis Journals, vol. 47(23), pages 2359-2378, May.
    • Handle: RePEc:taf:applec:v:47:y:2015:i:23:p:2359-2378
    DOI: 10.1080/00036846.2015.1005828
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    Cited by:

    1. Naz Farah & Lutfullah Tooba & Zahra Kanwal, 2024. "COVID-19 and Seasonality in Monthly Returns: a Firm Level Analysis of PSX," Zagreb International Review of Economics and Business, Sciendo, vol. 27(1), pages 201-230.
    2. Dadakas, Dimitrios & Karpetis, Christos & Tatsi, Stevi, 2021. "Trends and Structural Changes in Japanese Post-2011 Agri-Food Trade Flows," Japanese Journal of Agricultural Economics (formerly Japanese Journal of Rural Economics), Agricultural Economics Society of Japan (AESJ), vol. 23.
    3. Gkillas, Konstantinos & Vortelinos, Dimitrios I. & Babalos, Vassilios & Wohar, Mark E., 2021. "Day-of-the-week effect and spread determinants: Some international evidence from equity markets," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 268-288.
    4. Narayan, Paresh Kumar & Sharma, Susan Sunila & Phan, Dinh Hoang Bach, 2016. "Asset price bubbles and economic welfare," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 139-148.
    5. Harald Kinateder & Kimberly Weber & Niklas F. Wagner, 2019. "Revisiting Calendar Anomalies In Brics Countries," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 22(2), pages 213-236, July.
    6. Kim, Hyeongwoo & Ryu, Deockhyun, 2015. "Measuring the speed of convergence of stock prices: A nonparametric and nonlinear approach," Economic Modelling, Elsevier, vol. 51(C), pages 227-241.
    7. Maria Magdalena Turek Rahoveanu & Adrian Turek Rahoveanu & Cristian Popescu & Gheorghe Adrian Zugravu, 2015. "Entrepreneurial Potential In The Territory Gal Microregion Horezu Village From The Perspective Of 2014-2020," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 397-408.
    8. Chien, Mei-Se & Lee, Chien-Chiang & Hu, Te-Chung & Hu, Hui-Ting, 2015. "Dynamic Asian stock market convergence: Evidence from dynamic cointegration analysis among China and ASEAN-5," Economic Modelling, Elsevier, vol. 51(C), pages 84-98.
    9. Yunus Kilic & Mehmet Fatih Bugan, 2016. "The Efficient Market Hypothesis: Evidence from Turkey," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 6(10), pages 262-272, October.
    10. Jouini, Jamel, 2015. "New empirical evidence from assessing financial market integration, with application to Saudi Arabia," Economic Modelling, Elsevier, vol. 49(C), pages 198-211.
    11. Dong, Minyi & Chang, Chun-Ping & Gong, Qiang & Chu, Yin, 2019. "Revisiting global economic activity and crude oil prices: A wavelet analysis," Economic Modelling, Elsevier, vol. 78(C), pages 134-149.

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