The determinants of banks' capital structure in SAARC economies
Raja Rehan (),
Auwal Adam Sa’ad (),
Guo Hong Fu () and
Muhammad Asghar Khan ()
Edelweiss Applied Science and Technology, 2024, vol. 8, issue 4, 417-433
Abstract:
The capital structure determinants for South Asian banks are required to be exposed. This investigation attempts to address the existing gap by examining the capital structure determinants for the South Asian Association for Regional Cooperation (SAARC) countries. To accomplish the main objective, the Panel Data of 52 banks is collected from the four main regional economies for the period starting from 2012 to 2022. The methodology is based on the estimation of constructed models by executing Static Panel Data analysis and Dynamic Panel Data analysis via the Generalized Method of Moments (GMM). The investigation discovered that tangibility, growth, profitability and non-performing loans have positive significant influences, whereas, liquidity and gross domestic products have negative significant impacts on the regional banks' capital structure. Also, the significant lagged variable and the presence of adjustment speed suggest the implementation of the Dynamic Trade-Off theory in the SAARC countries' banking sectors. The findings will help regulatory bodies develop a harmonization policy to enhance financial integration among SAARC economies via adopting identified capital structure determinants.
Keywords: Capital structure; Dynamic model; GMM; Panel data; SAARC. (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
https://learning-gate.com/index.php/2576-8484/article/view/1204/368 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ajp:edwast:v:8:y:2024:i:4:p:417-433:id:1204
Access Statistics for this article
More articles in Edelweiss Applied Science and Technology from Learning Gate
Bibliographic data for series maintained by Melissa Fernandes ().