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Improved methods for identifying the operational determinants of a bank’s capital ratio

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Detalhes bibliográficos
Resumo:Published research using econometric models to identify the determinants of bank capital ratios has produced inconsistent results. This is partly due to the failure of model formulations to distinguish between operational and managerial effects. This paper explains how the use of bank leverage can separate these effects, how to prevent financial ratios from undermining model interpretability, and how to identify and avoid ratio-related biases. The application of these improvements is tested on a panel of East Asian retail bank data from 2004 to 2014, covering China, Hong Kong, Indonesia, India, Japan, Singapore, Malaysia, the Philippines, and Thailand. Conclusions are drawn from quasi-experimental designs comparing two-way GMM models before and after implementation of the improvements. The results show that the improved models identify the operational determinants of capital ratios and avoid simultaneity and omitted variable bias and ratio-induced opacity in the results. The use of complementary data segments helps to interpret the results and identify paradigmatic cases for a better understanding of the relationship between regulatory capital and risk.
Autores principais:Vong, A. P. I.
Outros Autores:Trigueiros, D.
Assunto:Capital ratio Basel leverage ratio Financial ratio Ratio-induced distortion
Ano:2025
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso aberto
Instituição associada:ISCTE
Idioma:inglês
Origem:Repositório ISCTE
Descrição
Resumo:Published research using econometric models to identify the determinants of bank capital ratios has produced inconsistent results. This is partly due to the failure of model formulations to distinguish between operational and managerial effects. This paper explains how the use of bank leverage can separate these effects, how to prevent financial ratios from undermining model interpretability, and how to identify and avoid ratio-related biases. The application of these improvements is tested on a panel of East Asian retail bank data from 2004 to 2014, covering China, Hong Kong, Indonesia, India, Japan, Singapore, Malaysia, the Philippines, and Thailand. Conclusions are drawn from quasi-experimental designs comparing two-way GMM models before and after implementation of the improvements. The results show that the improved models identify the operational determinants of capital ratios and avoid simultaneity and omitted variable bias and ratio-induced opacity in the results. The use of complementary data segments helps to interpret the results and identify paradigmatic cases for a better understanding of the relationship between regulatory capital and risk.