Navigating Interest Rate Flux: Evidence from South and Southeast Asia

As a driver of savings, consumption, and investment, interest rate plays a crucial role in an economy, while the fluctuation of lending interest rate depends on many factors. Various studies explored the impacts of different factors on lending interest rate flux and found heterogeneous results. Moreover, most of the earlier studies applied diverse predetermined research methods, either linear or non-linear, without aiming at any automated or self-regulated research technique. Therefore, this study explores the influencing factors of lending interest rate using symbolic regression, an automated research technique, in the case of South and Southeast Asian countries for the period 1985-2022. The applied method digs out the dominant factors that influence lending interest rate and reveals that economic growth is the most influential factor in South and Southeast Asian countries, followed by broad money growth, inflation, real interest rate, and others. Some policy implications are also discussed based on the results.

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Publication Details

Journal
International Journal of Accounting and Economics Studies
Published
2025-06-24
DOI
https://doi.org/10.14419/hmcxbd30
Primary Topic
Global Financial Crisis and Policies
Type
article
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article

Navigating Interest Rate Flux: Evidence from South and Southeast Asia

Md. Kamal Uddin, Minhaz Uddin Ahmed, Kazi Md. Tarique, Ekhtear Ahmed Zeesan et al.
International Journal of Accounting and Economics Studies
Global Financial Crisis and Policies
article

Navigating Interest Rate Flux: Evidence from South and Southeast Asia

Md. Kamal Uddin, Minhaz Uddin Ahmed, Kazi Md. Tarique, Ekhtear Ahmed Zeesan, Sarwar Uddin Ahmed, Sakib Hasan Siddiqui
article en

Abstract

As a driver of savings, consumption, and investment, interest rate plays a crucial role in an economy, while the fluctuation of lending interest rate depends on many factors. Various studies explored the impacts of different factors on lending interest rate flux and found heterogeneous results. Moreover, most of the earlier studies applied diverse predetermined research methods, either linear or non-linear, without aiming at any automated or self-regulated research technique. Therefore, this study explores the influencing factors of lending interest rate using symbolic regression, an automated research technique, in the case of South and Southeast Asian countries for the period 1985-2022. The applied method digs out the dominant factors that influence lending interest rate and reveals that economic growth is the most influential factor in South and Southeast Asian countries, followed by broad money growth, inflation, real interest rate, and others. Some policy implications are also discussed based on the results.

International Journal of Accounting and Economics StudiesVol. 12(2)
University of Liberal Arts Bangladesh (BD)
Openalex Percentile: Top 81%
Global Financial Crisis and Policies
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