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Islamic calendar anomalies: Evidence from Pakistani firm-level data

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  • Halari, Anwar
  • Tantisantiwong, Nongnuch
  • Power, David. M.
  • Helliar, Christine

Abstract

Most prior research has tested for monthly regularities based on the Gregorian calendar; by contrast, little attention has been given to other calendars based on different religions or cultures. This paper examines Islamic monthly anomalies in a stock market located within a Muslim country – Pakistan. The study employs data for 106 companies listed on the Karachi Stock Exchange (KSE) over the period from 1995 to 2011 and an asymmetric generalized autoregressive conditional heteroscedasticity model to examine whether the mean value and volatility of share returns in the KSE vary with Islamic months. The results from the model offer very little statistical evidence of a monthly seasonal anomaly in average returns, but there is evidence of monthly patterns in the volatility of returns for KSE equities. This finding suggests that investors can formulate an investment strategy and choose a trading time in order to outperform on a risk-adjusted basis.

Suggested Citation

  • Halari, Anwar & Tantisantiwong, Nongnuch & Power, David. M. & Helliar, Christine, 2015. "Islamic calendar anomalies: Evidence from Pakistani firm-level data," The Quarterly Review of Economics and Finance, Elsevier, vol. 58(C), pages 64-73.
    • Handle: RePEc:eee:quaeco:v:58:y:2015:i:c:p:64-73
    DOI: 10.1016/j.qref.2015.02.004
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    Cited by:

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    4. Abdullah Al-Awadhi & Ahmad Bash & Fouad Jamaani, 2021. "Ramadan Effect: A Structural Time-Series Test," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 12(1), pages 260-269, January.
    5. Irshad Hira & Taib Hasniza Mohd & Hussain Haroon & Hussain Rana Yassir, 2023. "Conventional and Islamic Equity Market Reaction Towards Terrorism: Evidence Based on Target Types, Location and Islamic Calendar Months," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 33(4), pages 70-116, December.
    6. Jauhar Abbas & Hammad Hassan Mirza & Haroon Hussain & Rana Yassir Hussain & Muhammad Saad & Masud Akhtar, 2021. "Stock Market Reaction towards Terrorism: An Evidence Based on Seasonal Variation in Pakistan," Journal of Economic Impact, Science Impact Publishers, vol. 3(3), pages 167-177.
    7. Halari, Anwar & Helliar, Christine & Power, David M. & Tantisantiwong, Nongnuch, 2019. "Taking advantage of Ramadan and January in Muslim countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 74(C), pages 85-96.
    8. Paul-Olivier KLEIN & Rima TURK & Laurent WEILL, 2017. "How Religiosity Shapes Investor Behavior: Sukuk Issuances During Ramadan," Working Papers of LaRGE Research Center 2017-01, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
    9. Khalil Jebran & Shihua Chen, 2017. "Examining anomalies in Islamic equity market of Pakistan," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 7(3), pages 275-289, July.
    10. Tantisantiwong, Nongnuch & Halari, Anwar & Helliar, Christine & Power, David, 2018. "East meets West: When the Islamic and Gregorian calendars coincide," The British Accounting Review, Elsevier, vol. 50(4), pages 402-424.
    11. Fatima Syed & Naimat U. Khan, 2017. "Islamic Calendar Anomalies: Evidence from Pakistan," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 9(3), pages 104-122, September.

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    More about this item

    Keywords

    Islamic calendar anomalies; Stock returns; Conditional volatility; Behavioural finance; September 11 attacks;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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