Size, correlations, and diversification: New evidence from an application of wavelet approach to the emerging Islamic mutual fund industry

Alaa Alaabed, Mohammad Ashraful Ferdous Chowdhury, Mansur Masih*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Despite the rapid growth of Islamic finance in recent years, there has been relatively little work done on the emerging Islamic mutual fund industry within the broad field of Islamic finance. As far as the authors’ knowledge, this paper is the first attempt dedicated to understanding the correlation between different sizes of the young and rapidly growing Islamic mutual fund industry at different investment horizons. Major part of economic time series analysis is done in time or frequency domain separately. Wavelet analysis can combine these two fundamental approaches, so we can work in the time-frequency domain. Using wavelet coherence, we have gained valuable insights into the continuous dynamics of correlation between small, medium and large size Islamic mutual funds at different investment horizons for reaping the benefits of portfolio diversification in particular and keeping contagion risk at bay.

Original languageEnglish
Pages (from-to)S14-S20
JournalBorsa Istanbul Review
Volume19
DOIs
StatePublished - Aug 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018 The Authors

Keywords

  • Assets under management
  • Diversification
  • Islamic mutual funds
  • Size
  • Volatility
  • Wavelet analysis
  • Wavelet coherence

ASJC Scopus subject areas

  • Finance
  • Economics and Econometrics

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