1. Relationship between FinTech index and bank's performance: a comparative study between Islamic and conventional banks in the MENA region.
- Author
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Kharrat, Hana, Trichilli, Yousra, and Abbes, Boujelbène
- Subjects
ISLAMIC finance ,BANKING industry ,FINANCIAL technology ,TEXT mining ,PRINCIPAL components analysis ,PORTFOLIO diversification ,CORPORA - Abstract
Purpose: This paper aims to describe a new method for constructing the FintTech Index that measures the development of FinTech in the conventional and Islamic banking sectors in the Middle East and North Africa (MENA). It also tests the effect of this new proxy on the performance of conventional and Islamic banks in MENA countries. Design/methodology/approach: Using data from Islamic and conventional banks in the MENA region between 2010 and 2020, the authors rely on Text Mining Technology with the help of AntConc, principal component and factor analysis. The study also uses the simultaneous equation model to test the interdependent relationship between FinTech and bank performance. Findings: The study argues that the proposed measure effectively represents the FinTech industry in the MENA financial markets. The results provide micro evidence on the application of FinTech innovation in Islamic and conventional banks to improve their performance, profitability, stability and efficiency. Furthermore, the findings can provide insights for practitioners and researchers interested in implementing FinTech collaboration to enhance the performance of Islamic and conventional banks in the MENA region. Practical implications: Investors can leverage this FinTech Index in portfolio investments, trading strategy and hedging in MENA countries. In addition, policymakers can benefit from the challenges outlined in this work to support the development and incubation of FinTech in conventional and Islamic banks. Thus, they can better recognize the new generation of banking services with which they need to deal and collaborate. Originality/value: This paper makes a methodological contribution to the literature on FinTech search patterns by combining factor analysis with corpus processing software. This is the most comprehensive global FinTech index. In addition, to the best of the authors' knowledge, this study is the first to examine the simultaneous relationship between the FinTech index and the performance of Islamic and conventional banks. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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