Preference of Islamic Mutual Funds in Pakistan: Theoretical Triangulation, Methodological Conceptualization and SEM-Based Modeling

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Volume 6 Issue 1, 2025

Author(s):

Muhammad Faisal Sultan
KASBIT - Pakistan
mfaisal@kasbit.edu.pk

Nazia Abdul Rehman
Federal Urdu University Arts, Science & Technology - Pakistan
nzshakir@gmail.com

Khurram Shakir
Benazir Bhutto Shaheed University, Lyari Karachi - Pakistan
khurramshakir@yahoo.com

Zaibunnisa Siddiqi
Sukkur IBA University - Pakistan
zaibsd@gmail.com

Shahzad Nasim (Corresponding Author)
The Begum Nusrat Bhutto Women University, Sukkur - Pakistan
shahzadnasim@live.com

Abstract The purpose of this study is to understand the factors that are responsible for shaping investor’s attitudes toward Islamic Mutual Funds. The gist of the study has been based on the Theory of planned behavior (TPB) which is the extension of the Theory of Reasoned action (TRA) and used by most of the prior research to conduct studies in this vein. The model of the study is based upon parallel mediation that differentiates the model of the study from the rest of the studies. Data has been collected from a quota with a sample size of 250 respondents. Respondents of the survey are investors registered with Asset Management companies with significant stakes in Islamic Mutual Funds. Analysis has been made through using structural equation modeling via SMART-PLS and findings of the study indicated that the use of TPB is effective for assessing the investor’s attitude towards Islamic Mutual Funds and investor’s attitude is also found to be a potent indicator of intentions to invest in mutual funds. Therefore, this study is beneficial for multiple stake holders and can be used for better policy making, conducting rigorous research and also to improve understanding of Islamic mutual funds.
Keywords Mutual Funds, Investor Buying Behavior, Behavioral Finance, Theory of Planned Behavior & Intention to Invest in Islamic Mutual Funds.
Year 2025
Volume 6
Issue 1
Type Research paper, manuscript, article
Recognized by Higher Education Commission of Pakistan, HEC
Category "Y"
Journal Name ILMA Journal of Social Sciences & Economics
Publisher Name ILMA University
Jel Classification -
DOI
ISSN no (E, Electronic) 2790-5896
ISSN no (P, Print) 2709-2232
Country Pakistan
City Karachi
Institution Type University
Journal Type Open Access
Manuscript Processing Blind Peer Reviewed
Format PDF
Paper Link http://ijsse.ilmauniversity.edu.pk/arc/Vol6./pdf/v1/3.pdf