Is Loan Diversification Always Beneficial? Nonlinear Evidence from Vietnamese Commercial Banks

This study investigates the nonlinear relationship between sectoral loan diversification and credit risk in Vietnamese commercial banks. Using a balanced panel of 14 banks over 2012–2025, comprising 196 bank-year observations, the study measures diversification through a Shannon Entropy Index based on a harmonized ten-sector classification and measures credit risk using the reported non-performing loan ratio. The relationship is examined using conventional panel estimators, two-step System GMM, and bias-corrected LSDV models, together with alternative diversification measures. The results provide suggestive evidence of a U-shaped association: diversification is associated with lower credit risk at relatively low levels but with higher credit risk beyond a conditional turning point. This pattern is supported by the System GMM and small-sample bias-corrected estimates, although it is not statistically robust to the HHI-based measure. The findings therefore indicate that the effects of diversification depend on both its extent and measurement and should not be interpreted as identifying a universal optimal threshold. Banks and supervisors should assess sectoral diversification alongside cross-sector risk correlations, underwriting expertise, and monitoring capacity.

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Publication Details

Journal
International Journal of Financial Studies
Published
2026-09-17
DOI
https://doi.org/10.3390/ijfs14090250
Primary Topic
Banking stability, regulation, efficiency
Type
article
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Is Loan Diversification Always Beneficial? Nonlinear Evidence from Vietnamese Commercial Banks

Vu Thi Kim Oanh, Huong Nguyen Thi Quynh, Dinh Nguyen Binh
International Journal of Financial Studies
Banking stability, regulation, efficiency
article

Is Loan Diversification Always Beneficial? Nonlinear Evidence from Vietnamese Commercial Banks

Vu Thi Kim Oanh, Huong Nguyen Thi Quynh, Dinh Nguyen Binh
article en

Abstract

This study investigates the nonlinear relationship between sectoral loan diversification and credit risk in Vietnamese commercial banks. Using a balanced panel of 14 banks over 2012–2025, comprising 196 bank-year observations, the study measures diversification through a Shannon Entropy Index based on a harmonized ten-sector classification and measures credit risk using the reported non-performing loan ratio. The relationship is examined using conventional panel estimators, two-step System GMM, and bias-corrected LSDV models, together with alternative diversification measures. The results provide suggestive evidence of a U-shaped association: diversification is associated with lower credit risk at relatively low levels but with higher credit risk beyond a conditional turning point. This pattern is supported by the System GMM and small-sample bias-corrected estimates, although it is not statistically robust to the HHI-based measure. The findings therefore indicate that the effects of diversification depend on both its extent and measurement and should not be interpreted as identifying a universal optimal threshold. Banks and supervisors should assess sectoral diversification alongside cross-sector risk correlations, underwriting expertise, and monitoring capacity.

International Journal of Financial StudiesVol. 14(9)
The State Bank of Vietnam (VN)
Openalex Percentile: Top 8%
Banking stability, regulation, efficiency
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Is Loan Diversification Always Beneficial? Nonlinear Evidence from Vietnamese Commercial Banks — Vu Thi Kim Oanh, Huong Nguyen Thi Quynh, et al. · International Journal of Financial Studies (2026) | TGRS Research Map | TGRS