Emerging Market Bank Lending and Credit Risk Control

2016 ◽  
2016 ◽  
Vol 14 (1) ◽  
pp. 8-19 ◽  
Author(s):  
Kudzai Raymond Marandu ◽  
Athenia Bongani Sibindi

The bank capital structure debacle in the aftermath of the 2007-2009 financial crises continues to preoccupy the minds of regulators and scholars alike. In this paper we investigate the relationship between capital structure and profitability within the context of an emerging market of South Africa. We conduct multiple linear regressions on time series data of big South African banks for the period 2002 to 2013. We establish a strong relationship between the ROA (profitability measure) and the bank specific determinants of capital structure, namely capital adequacy, size, deposits and credit risk. The relationship exhibits sensitivity to macro-economic shocks (such as recessions), in the case of credit risk and capital but is persistent for the other determinants of capital structure.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Guo Yangyudongnanxin

In order to improve the effectiveness of financial credit risk control, a financial credit risk control strategy based on weighted random forest algorithm is proposed. The weighted random forest algorithm is used to classify the financial credit risk data, construct the evaluation index system, and use the analytic hierarchy process to evaluate the financial credit risk level. The targeted risk control strategies are taken according to different risk assessment results. We compared the proposed method with two other methods, and the experimental results show that the proposed method has higher classification accuracy of financial credit data and the risk assessment threshold is basically consistent with the actual results.


Author(s):  
Wee Chian Koh ◽  
Shu Yu

Emerging market and developing economies (EMDEs) weathered the 2009 global recession relatively well. However, the impact of the global recession varied across economies. EMDEs with stronger pre-crisis fundamentals — such as large foreign exchange reserves, sound fiscal positions, and low inflation — suffered milder growth slowdowns, in part due to their greater capacity to engage in monetary and fiscal stimulus. Low-income countries were also resilient, as foreign aid and inflows of remittances remained relatively stable. In contrast, EMDEs that were heavily dependent on short-term capital flows — such as portfolio investment and cross-border bank lending — fared less well, especially those in Europe and Central Asia. A key lesson for EMDEs is the need to strengthen macroeconomic frameworks and create policy space to prepare for future global downturns.


2018 ◽  
Vol 9 (4) ◽  
pp. 1
Author(s):  
Bhabani Shankar Nayak ◽  
Jia Xu

Guangdong Nanyue Bank (GNB) shows the alternative strategies of credit risk management which led to its growth. It was formed out of local government finances and enterprise shares but spread its base to six cities and ranked as one of the top ten banks in the country. Since its establishment, the bank has been adhering to its market positioning: serving small and medium-sized enterprises, serving local citizens and serving trade financing. In order to better regulate the credit approval procedures and improve the credit level of decision-making, GNB has developed a set of applicable measures for the management of credit risk, set up corresponding departments and allocated professional staff for credit risk control before approval of loan, during the loan, and after the loan. The paper looks at the alternative strategies followed by GNB to manage credit risk and grow successfully within the banking industries in China.


2019 ◽  
Vol 46 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Nemiraja Jadiyappa ◽  
Bhanu Sireesha ◽  
L. Emily Hickman ◽  
Pavana Jyothi

Purpose Prior literature demonstrates that the effectiveness of bank monitoring decreases when multiple banks are involved, due to a free rider problem, leading to lower firm value. The purpose of this paper is to investigate whether this free rider problem exists in an emerging market context, and whether the relationship between multiple banking relationships and firm value is conditioned on bankers’ incentives to monitor. Design/methodology/approach The authors use multivariate panel regression to examine the hypotheses. The conditioning effect of the incentive to govern (the amount of average bank lending) is modeled using an interaction variable. Based on the result of the Hausman test, the authors employ two-way fixed effects estimator to estimate the coefficients. Findings First, the negative relationship between multiple banking relationships and firm value holds true among Indian firms. Second, the authors show that this negative relationship is lessened for firms with high average bank debt or higher free cash flows. The analyses suggest that these moderating effects are related to a reduction in the free rider problem rather than a decrease in financial constraints. However, these results are only significant among larger firms. Originality/value Prior literature has not considered the conditioning impact of the “incentives to govern” when examining the free rider problem, inherent in situations where multiple actors are involved. The authors show in this study that the free rider problem disappears when the incentives to govern are considered in the overall research framework.


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