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Does it pay to be a faithful investor? A risk-based approach performance analysis of Islamic funds vs UCITS schemes

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Abstract

Purpose – This paper empirically investigates the performance of Islamic funds, which have been praised for weathering the 2008 financial storm relatively well and compares it to a European product designed to protect the most vulnerable of investors, UCITS funds. Design/methodology/approach – This paper builds on 128 time-series regressions using various factor models to analyse the risk-return relationship of 242 Islamic and UCITS funds relative to a market benchmark, over a 10-year period starting January 2006, to capture severe bear and bull market conditions. Findings – Islamic funds do not face a competitive disadvantage arising from their strict compliance with Sharıʿah principles, and their performance and investment style is relatively similar to UCITS schemes. Practical implications – Islamic funds represent a low risk investment due to their very mild betas. Therefore, when forming part of a diversified portfolio, they can act as a hedging tool against adverse market movements. Social implications – Muslim investors are not punished relative to conventional retail investors when following their own beliefs. Other investors can consider Islamic funds in their portfolio allocation, especially those who seek socially and ethically responsible investments. Originality/value – This paper fills a lacuna in the existing literature, because the sample is made up of Islamic funds established worldwide and includes not only equity, but also fixed income and mixed allocation funds.

Suggested Citation

  • Falzon, Joseph & Bonnici, Elaine, 2022. "Does it pay to be a faithful investor? A risk-based approach performance analysis of Islamic funds vs UCITS schemes," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 29, pages 100-118.
  • Handle: RePEc:ris:isecst:0203
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    More about this item

    Keywords

    Islamic funds; UCITS; Matched-pair analysis; Performance evaluation; Fama-and-French four-factor model; Fung Hsieh seven-factor model; Market-timing abilities;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • L31 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - Nonprofit Institutions; NGOs; Social Entrepreneurship

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