scholarly journals Depositor Discipline and Bank Risk-Taking Behavior: Evidence from the South-East Asian Financial Crises

2006 ◽  
Author(s):  
Kabir M. Hassan ◽  
M. Ershad Hussain
2018 ◽  
Vol 44 (4) ◽  
pp. 459-477 ◽  
Author(s):  
Santi Gopal Maji ◽  
Preeti Hazarika

Purpose The purpose of this paper is to investigate the association between capital regulation and risk-taking behavior of Indian banks after incorporating the influence of competition. Further, the study intends to enrich the existing literature by providing empirical evidence on the role of human resources in managing risk along with the influence of other bank specific and macroeconomic variables. Design/methodology/approach Secondary data on 39 listed Indian commercial banks are collected from “Capitaline Plus” corporate data database for a period of 15 years. Capital is measured by capital adequacy ratio as defined by the regulators, and two definitions of risk – credit risk and insolvency risk – are employed. Competition is measured by Herfindahl-Hirschman deposits index, concentration ratio and H-statistic. The value-added intellectual coefficient model is employed to compute human capital efficiency (HCE). Three-stage least squares technique in a simultaneous equation framework is used to estimate the coefficients. Findings The study finds that absolute level of regulatory capital and bank risk are positively associated, although the influence of capital on risk is not statistically significant. The influence of competition on risk is negative for all the models, which supports the “competition stability” view. The impact of human capital on bank risk is also negative for all cases. Practical implications The findings of the study are useful for the decision makers in several ways based on the inverse influence of competition and HCE on bank risk. Further, the observed positive association between capital and risk indicates that the capital regulation is not sufficient to enhance the stability in the banking sector. Originality/value This is the first study in the Indian context that incorporates the competition in the banking industry as an explanatory variable in the extant bank capital and risk relationship.


2020 ◽  
Vol 23 (4) ◽  
pp. 285-304
Author(s):  
M. Pilar García-Alcober ◽  
Diego Prior ◽  
Emili Tortosa-Ausina ◽  
Manuel Illueca

After the financial crisis of 2007–2008, some bank performance dimensions have been the subject of debate, two of which are bank efficiency and bank risk-taking behavior. The literature on bank efficiency and productivity has grown considerably over the past three decades, and has gained momentum in the aftermath of the financial crisis. Interest in bank risk-taking behavior, usually focusing on its links to monetary policy, has been relatively low, but has also increased exponentially in more recent years. This article combines these two streams of research. Specifically, we test whether more inefficient banks take greater risks when selecting borrowers, charging interests, and requiring collateral, and whether these links between inefficiency and risk change according to the type of bank. Our analysis centers on the Spanish banking system, which has been severely affected by the burst of the housing bubble and has undergone substantial restructuring. To test our hypotheses, we created a database with information on banks and savings banks, their borrowers (non-financial firms), and the links between them. The study also contributes to the literature by considering a novel profit frontier approach. Our results suggest that more inefficient banks take greater risks in selecting their borrowers, and that this high-taking behavior is not offset by higher interest rates. JEL CLASSIFICATION C14; C61; G21; L50


2016 ◽  
Vol 37 ◽  
pp. 309-326 ◽  
Author(s):  
Badar Nadeem Ashraf ◽  
Changjun Zheng ◽  
Sidra Arshad

2020 ◽  
Vol 9 (s1) ◽  
pp. 33-53
Author(s):  
Bayront Yudit Rumondor ◽  
Pakasa Bary

AbstractThis paper investigates the impact of capital flows on bank risk-taking behavior. It undertakes two levels of empirical estimations, namely (i) single-country industry-level; and (ii) multi-country industry-level estimations, covering emerging market economies. The results suggest that capital inflows, in the form of portfolio investment, is significant in raising risk-taking behavior. Large banks are less aggressive in their risk-taking behavior vis-à-vis smaller banks. Such impact of portfolio investment on risk-taking behavior is also shown in the multi-country level estimates.


2018 ◽  
Vol 12 (3) ◽  
pp. 273-289 ◽  
Author(s):  
Muhammad Umar ◽  
Gang Sun

Purpose The study aims to explore macroeconomic and banking industry-specific determinants of non-performing loans (NPLs) for Chinese banks, spanning from 2005 to 2014. Design/methodology/approach It uses three different models to explore the determinants. The first model has only macroeconomic variables as regressors; the second model has only banking industry-specific variables as independent variables; and the third model has macroeconomic and banking industry-specific variables as explanatory variables. Furthermore, system generalized method of moments estimation technique has been used to measure the coefficients of independent variables. Findings Gross domestic product (GDP) growth rate, effective interest rate, inflation rate, foreign exchange rate, type of bank, bank risk-taking behavior, ownership concentration, leverage and credit quality are significant determinants of NPLs in Chinese banks. Furthermore, the determinants of NPLs for listed and unlisted banks differ. Determinants of NPLs of listed banks include GDP, bank risk-taking behavior and credit quality. However, variation in NPLs of unlisted banks is explained by GDP, inflation rate, foreign exchange rate, bank risk-taking behavior, leverage and credit quality. Originality/value This study also finds that using only macroeconomic or banking industry-specific variables as regressors is not a right approach because it may lead to erroneous conclusions.


2020 ◽  
Vol 8 (1) ◽  
pp. 1765468 ◽  
Author(s):  
Sk Alamgir Hossain ◽  
Syed Moudud-Ul-Huq ◽  
Marufa Binta Kader

2020 ◽  
Vol 51 ◽  
pp. 101051 ◽  
Author(s):  
João C.A. Teixeira ◽  
Tiago F.A. Matos ◽  
Gui L.P. da Costa ◽  
Mário J.A. Fortuna

Author(s):  
Tamanna Dalwai ◽  
Dharmendra Singh ◽  
Ananda S.

Purpose The purpose of this paper is to investigate the impact of intellectual capital (IC) efficiency on the banks’ risk-taking and stability of Asian emerging markets. Design/methodology/approach This study uses a sample of 204 listed banks from 12 Asian emerging countries for the period 2010 to 2019. Data were analyzed using Ordinary Least Squares regression and checked for robustness using system generalized methods moment (GMM) estimation. The dependent variable of bank stability is measured using Z-score-based return on assets (ROA) and return on equity (ROE). The second dependent variable of bank risk is proxied by the standard deviation of ROA, ROE, non-performing loans and loan loss provision. Findings The results suggest the IC efficiency has no association with bank risk-taking and stability. The findings lend no support to the resource-based theory. The robustness of this result is confirmed by the system GMM estimation. However, support is found for the competition fragility view as high market power is associated with low risk-taking. The IC subcomponents, human capital efficiency (HCE) report a negative coefficient for bank risk-taking thereby having no support for the hypothesized relationships. Diversified banks with a higher deposit to total asset ratio resort to high risk-taking. Research limitations/implications IC efficiency does not have an impact on the bank’s risk-taking behavior and stability for Asian banks. Managers can use these findings to improve their IC and boost investor confidence. Regulatory authorities should increase its monitoring function of banks when the GDP decreases as risk-taking behavior are galvanized during this period. Originality/value This research is one of the first to provide empirical evidence of IC efficiency’s relationship with bank stability and bank risk-taking. The implications are useful for policymakers, managers and governing bodies to enhance the banks’ IC efficiency.


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