The Effect of Market Power on Bank Credit Risk-Taking and Bank Stability in Kazakhstan

2013 ◽  
Vol 20 (3) ◽  
pp. 335-350 ◽  
Author(s):  
Olga Pak ◽  
Mira Nurmakhanova
2014 ◽  
Vol 22 (3) ◽  
pp. 399-416 ◽  
Author(s):  
Nafisa Zabeen Ovi ◽  
Shrimal Perera ◽  
Sisira Colombage

2021 ◽  
Vol 14 (5) ◽  
pp. 211
Author(s):  
Iryna Yanenkova ◽  
Yuliia Nehoda ◽  
Svetlana Drobyazko ◽  
Andrii Zavhorodnii ◽  
Lyudmyla Berezovska

This article deals with the issue of managing bank credit risk using a cost risk model. Modeling of bank credit risk management was proposed based on neural-cell technologies, which expand the possibilities of modeling complex objects and processes and provide high reliability of credit risk determination. The purpose of the article is to improve and develop methodical support and practical recommendations for reducing the level of risk based on the value-at-risk (VaR) methodology and its subsequent combination with methods of fuzzy programming and symbiotic methodical support. The model makes it possible to create decision support subsystems for nonperforming loan management based on the neuro-fuzzy approach. For this paper, economic and mathematical tools (based on the VaR methodology) were used, which made it possible to analyze and forecast the dynamics of overdue payment; assess the quality of the credit portfolio of the bank; determine possible trends in bank development. A scientific and practical approach is taken to assess and forecast the degree of credit problematicity by qualitative criteria using a mathematical model based on a fuzzy technology, which can forecast the increased risk of loan default at an early stage in the process of monitoring the loan portfolio and model forecasting changes in the degree of credit problematicity on change of indicators. A methodology is proposed for the analysis and forecasting of indicators of troubled loan debt, which should be implemented as software and included in the decision support system during the process of monitoring the risk of the bank’s credit portfolio.


2021 ◽  
Vol 75 ◽  
pp. 101668
Author(s):  
Ana-Maria Fuertes ◽  
Maria-Dolores Robles
Keyword(s):  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marwa Fersi ◽  
Mouna Bougelbène

PurposeThe purpose of this paper was to investigate the impact of credit risk-taking on financial and social efficiency and examine the relationship between credit risk, capital structure and efficiency in the context of Islamic microfinance institutions (MFIs) compared to their conventional counterparts.Design/methodology/approachThe stochastic frontier approach was used to estimate the financial and social efficiency scores, in a first step. In a second step, the impact of risk-taking on efficiency was evaluated. The authors also took into account the moderating role of capital structure in this effect using the fixed and random effects generalized least squares (GLS) with a first-order autoregressive disturbance. The used dataset covers 326 conventional MFIs and 57 Islamic MFIs in six different regions of the world over the period of 2005–2015.FindingsThe overall average efficiency scores are less than 50%, where CMFIs could have produced their outputs using 48% of their actual inputs. IMFIs record the lowest financial (cost) efficiency that is equal to 28% on average. The estimation results also reveal a negative impact of nonperforming loan on financial and social efficiency. Finally, the moderating effect of leverage funding on the relationship between credit risk-taking and financial efficiency was confirmed in CMFIs. However, leverage seems to moderate the effect of risk-taking behavior on social efficiency for IMFIs.Originality/valueThis paper makes an initial attempt to evaluate the effect of risk-taking decision and its implication on efficiency and MFIs' sustainability. Besides, it takes into consideration the role played by the mode of governance through the ownership structure. In addition, this research study sheds light on the importance of the financial support for the development and sustainability of these institutions, which in return, contributes to a sustainable economic development.


Author(s):  
Benjamin M. Tabak ◽  
Guilherme Maia Rodrigues Gomes ◽  
Maur cio da Silva Medeiros

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