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Do Islamic stock indices perform better than conventional counterparts? An empirical investigation of sectoral efficiency

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  • Nafis Alam
  • Shaista Arshad
  • Syed Aun R. Rizvi

Abstract

Literature is rife with studies on efficiency of stock markets and financial performance aspects. One such aspect is the measurement of sectoral efficiency amongst stock markets. While there are several studies analysing sectorial efficiency, there is no study on the efficiency of Islamic sector indexes. The rise of Islamic indices has raised the question and multiple studies have been undertaken in exploring and validating the better performance from a risk return framework for the Islamic indices. This study attempts to pioneer in this niche area by conducting a comparative analysis of 10 sectoral global indices for both conventional and Islamic counterpart spanning over 18 years. The sample time period runs from 1 January 1996 until 31 December 2014. To further validate our study, we have divided our data into four major time periods, to factor in different phases the world markets have gone through in the sample period, i.e. 1996–2000; 2001–2002; 2003–2006 and 2006 to 2014. The methodology selected in understanding the efficiency of these sectoral stock indices is the multifractal de‐trended fluctuation analysis (MFDFA). Our analysis reveals that in the shorter horizon, efficiency tends to follow a similar pattern amongst the conventional and Islamic counterpart. Furthermore, Islamic sectoral indices generally tend to exhibit a higher efficiency regime across the last decade. Overall, Islamic index seems to have stayed attractive and resilient, allowing conformity with the weak form efficient market hypothesis.

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  • Nafis Alam & Shaista Arshad & Syed Aun R. Rizvi, 2016. "Do Islamic stock indices perform better than conventional counterparts? An empirical investigation of sectoral efficiency," Review of Financial Economics, John Wiley & Sons, vol. 31(1), pages 108-114, November.
  • Handle: RePEc:wly:revfec:v:31:y:2016:i:1:p:108-114
    DOI: 10.1016/j.rfe.2016.06.003
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    Cited by:

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    2. Rizvi, Syed Aun R. & Arshad, Shaista, 2018. "Understanding time-varying systematic risks in Islamic and conventional sectoral indices," Economic Modelling, Elsevier, vol. 70(C), pages 561-570.
    3. Karim, Muhammad Mahmudul & Kawsar, Najmul Haque & Ariff, Mohamed & Masih, Mansur, 2022. "Does implied volatility (or fear index) affect Islamic stock returns and conventional stock returns differently? Wavelet-based granger-causality, asymmetric quantile regression and NARDL approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    4. Arshad, Shaista & Rizvi, Syed Aun R. & Haroon, Omair & Mehmood, Fahad & Gong, Qiang, 2021. "Are oil prices efficient?," Economic Modelling, Elsevier, vol. 96(C), pages 362-370.
    5. Shaista Arshad, 2017. "Analysing the Relationship between Oil Prices and Islamic Stock Markets," Economic Papers, The Economic Society of Australia, vol. 36(4), pages 429-443, December.
    6. Rahman, Md Lutfur & Hedström, Axel & Uddin, Gazi Salah & Kang, Sang Hoon, 2021. "Quantile relationship between Islamic and non-Islamic equity markets," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    7. Rizvi, Syed Aun R. & Arshad, Shaista & Alam, Nafis, 2018. "A tripartite inquiry into volatility-efficiency-integration nexus - case of emerging markets," Emerging Markets Review, Elsevier, vol. 34(C), pages 143-161.
    8. Noureddine Benlagha & Wael Hemrit, 2018. "The Dynamic and Dependence of Takaful and Conventional Stock Return Behaviours: Evidence from the Insurance Industry in Saudi Arabia," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 25(4), pages 285-323, December.
    9. Uddin, Gazi Salah & Hernandez, Jose Areola & Shahzad, Syed Jawad Hussain & Yoon, Seong-Min, 2018. "Time-varying evidence of efficiency, decoupling, and diversification of conventional and Islamic stocks," International Review of Financial Analysis, Elsevier, vol. 56(C), pages 167-180.
    10. María de la O González & Francisco Jareño & Camalea El Haddouti, 2019. "Sector Portfolio Performance Comparison between Islamic and Conventional Stock Markets," Sustainability, MDPI, vol. 11(17), pages 1-23, August.
    11. Salisu, Afees A. & Ndako, Umar B. & Adediran, Idris A. & Swaray, Raymond, 2020. "A fractional cointegration VAR analysis of Islamic stocks: A global perspective," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    12. Badeeb, Ramez Abubakr & Lean, Hooi Hooi, 2018. "Asymmetric impact of oil price on Islamic sectoral stocks," Energy Economics, Elsevier, vol. 71(C), pages 128-139.
    13. Godil, Danish Iqbal & Sarwat, Salman & Khan, Muhammad Kamran & Ashraf, Muhammad Sajjad & Sharif, Arshian & Ozturk, Ilhan, 2022. "How the price dynamics of energy resources and precious metals interact with conventional and Islamic Stocks: Fresh insight from dynamic ARDL approach," Resources Policy, Elsevier, vol. 75(C).
    14. Lahmiri, Salim & Bekiros, Stelios & Stavroyiannis, Stavros & Babalos, Vassilios, 2018. "Modelling volatility persistence under stochasticity assumptions: evidence from common and alternative investments," Chaos, Solitons & Fractals, Elsevier, vol. 114(C), pages 158-163.
    15. Mirza, Nawazish & Abbas Rizvi, Syed Kumail & Saba, Irum & Naqvi, Bushra & Yarovaya, Larisa, 2022. "The resilience of Islamic equity funds during COVID-19: Evidence from risk adjusted performance, investment styles and volatility timing," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 276-295.
    16. Choi, Sun-Yong, 2021. "Analysis of stock market efficiency during crisis periods in the US stock market: Differences between the global financial crisis and COVID-19 pandemic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    17. Al-Yahyaee, Khamis Hamed & Mensi, Walid & Rehman, Mobeen Ur & Vo, Xuan Vinh & Kang, Sang Hoon, 2020. "Do Islamic stocks outperform conventional stock sectors during normal and crisis periods? Extreme co-movements and portfolio management analysis," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
    18. Karima Saci, 2022. "Modelling the Relationship Between Trading Volume and Stock Returns Volatility for Islamic and Conventional Banks: The Case of Saudi Arabia نمذجة العلاقة بين حجم التداول وتقلب عوائد الأسهم للبنوك الإس," Journal of King Abdulaziz University: Islamic Economics, King Abdulaziz University, Islamic Economics Institute., vol. 35(1), pages 41-55, January.
    19. Rasha Tawfiq Abadi & Florinda Silva, 2022. "Do Islamic fundamental weighted indices outperform their conventional counterparts? An empirical investigation during the crises in the MENA region," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(2), pages 241-266, June.
    20. Rizvi, Syed Aun R. & Arshad, Shaista, 2017. "Analysis of the efficiency–integration nexus of Japanese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 470(C), pages 296-308.
    21. Salisu, Afees A. & Shaik, Muneer, 2022. "Islamic Stock indices and COVID-19 pandemic," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 282-293.
    22. Delle Foglie, Andrea & Panetta, Ida Claudia, 2020. "Islamic stock market versus conventional: Are islamic investing a ‘Safe Haven’ for investors? A systematic literature review," Pacific-Basin Finance Journal, Elsevier, vol. 64(C).

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    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G1 - Financial Economics - - General Financial Markets

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