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The purpose of this paper is to establish the mediating role of cost of capital in the relationship between capital structure and loan portfolio quality in Uganda's microfinance institutions (MFIs).

A cross-sectional research design was adopted to collect data and partial least squares structural equation modelling was used to test the study hypotheses.

Cost of capital partially mediates the relationship between capital structure and loan portfolio quality. Hence, cost of capital acts as a conduit through which capital structure affects loan portfolio quality.

Cost of capital was generalized as financial and administrative costs. The impact of costs like dividend pay-outs, interest rates and/or loan covenants on loan portfolio quality could be investigated individually.

MFIs should be vigilant about loan recovery by using strategies like credit rationing to ensure timely repayments.

The study contributes to the ongoing academic debate by identifying the significant indirect role of cost of capital in explaining loan portfolio quality.

Banking sectors in central, eastern and southeastern European (CESEE) countries have gone through a transformation from state-ownership and central planning to private ownership and market-oriented decision making during the first decade of the 21st century. However, financial markets in these countries are still developing and the private sector is highly exposed to changes in exchange rates, especially in terms of the balance sheet channel. The fact that these banking sectors are predominantly owned by eurozone banks makes them vulnerable to macroeconomic tensions in the European union. This analysis investigates macroeconomic determinants of the realisation of credit risk in the loan portfolio of banks in Serbia using a panel data set covering the period from 2008Q3 to 2012Q2. Three different panel methods were applied separately for loans to households and loans to enterprises. The results indicate that a deteriorating business cycle and exchange rate depreciation led to the worsening of the quality of banks’ loan portfolio in Serbia in the period under review. In addition, statistical evidence indicates that the CPI inflation additionally affected the quality of loans. Furthermore, we find that household loan portfolios are also sensitive to changes in the short-run interest rates. As for policy implications, the importance of international cooperation between regulators is rising. A very important topic for such cooperation should be the risk-taking channel between countries with significant differences in interest rates and degree of riskiness. The interrelationship between the exchange rate and credit risk should be a major focus of both domestic macro- and micro-prudential policy – banks should be motivated to pay more attention to the possible negative spillovers when making credit decisions. Also, further development of the domestic primary and secondary T-bills market would help reducing unhedged FX risks.

This paper aims to study a strategic decision of banks in Thailand to signal their types to the market and derive the optimal credit derivatives contract to guarantee their loans and credibly signal their quality under different economic determinants, namely, the maximum credit risk investment constraint, opportunity cost and opaqueness of the credit derivative market.

Contract theory is deployed to derive the expected payoff of different bank types under different economic and financial constraints. Hence, different bank types offer derivatives contracts to signal their loan quality and resell their loans in the secondary loan markets of Thailand.

The optimal derivatives contract is constructed on a basis of asymmetric information when banks have more private information concerning quality of their loans. A digital credit default swap is an optimal derivatives contract to send credible signal when banks are restricted to the maximum investment constraint. Moreover, profit of banks is reduced, as the optimal derivatives contract is more costly when banks are subjected to positive opportunity cost and opacity of the credit derivatives market. These results depict impact of changes of the maximum credit risk investment constraint on Thai credit derivatives market.

The optimal credit derivatives design that signifies bank types and facilitates loan purchase agreement has not been studied in Thai secondary loan markets before. In addition, this study provides insights of banks' strategic decisions to signal their types and transfer risk to risk buyers in Thai markets.

This paper aims to examine the post-merger changes in the credit risk profile of merging bank holding companies and tests whether there is an increase in credit risk after a merger due to changes in the mix of loans in the portfolio.

The authors use the expected variability of the credit risk of a loan portfolio based on the mix of loan types in the portfolio and the variability of the industry credit losses of each type following the standard Markowitz procedure for finding the standard deviation of an investment portfolio. The authors then test to see whether there has been a significant change in the expected variability (the credit risk profile) after a merger.

The authors find that there are significant differences in both the level and variability of loan charge-offs and non-performing loans (NPL) among the various loan categories. The authors also find significant changes in the mix of loan categories in the loan portfolio after a merger. In addition, the authors find that the expected variability in both the charge-off rate and the NPL rate rises significantly after a merger.

This is the first of two papers looking at post-merger changes in credit risk based simply on the changes in the mix of loan types; it does not consider the actual post-merger credit performance of the specific mergers. That will be addressed in a subsequent paper.

Financial analysts evaluating banking merger announcements may wish to include the impact of the likely shifts in loan mix and credit risk shown in this paper as they project the likely impact of the merger.

This paper addresses an aspect of bank mergers that has not been addressed in the literature, the impact of mergers on credit risk. The results are likely to be useful to investors, financial analysts and regulators.

The purpose of this study is to assess the impact of corporate governance variables on the quality of bank loan portfolios.

The study used a panel-corrected standard errors estimation model with the most recent 11-year data from 2006 to 2016 on selected Ghanaian banks.

The findings indicate that corporate governance is relevant within the banking sector and plays a key role in improving loan quality. Having a large board with the attendant pool of expertize, boards with mostly non-executive members and duality of the CEO-board chair can be harnessed to improve bank loan quality. Female participation on boards seems to detract from good performance, creating the impression of tokenism in the Ghanaian banking sector.

The study has important implications for board construction within the banking sector and the discourse on bank asset quality.

The purpose of this paper is to test whether diversification of credit portfolios across economic sectors leads to improved profitability and reduced credit risks for Ghanaian banks that have been characterized by high non-performing loans in recent times (IMF, 2011).

Static and dynamic estimations, namely Prais-Winsten, fixed and random effect estimators, feasible generalized least squares as well as the system generalized methods of moments are employed on the annual data of 30 Ghanaian banks that operated between 2007 and 2014 to determine the effect of loan portfolio diversification on bank performance.

The study shows that loan portfolio diversification does not improve banks’ profitability nor does it reduce banks’ credit risks.

The study focuses on a single banking system in Africa largely as a result of data limitation.

The study emphasizes the need for banks to perform a careful assessment of the effects of their lending policies geared toward increased sectoral diversification on their monitoring efficiency and effectiveness. A further investment in loan screening and monitoring is necessary to minimize credit risks.

This study is the first to present empirical evidence on the effects of loan portfolio diversification on bank performance in an emerging banking market in Africa.

This study aims to examine and compare the credit risk management (CRM) scenario of Islamic banks (IBs) and conventional banks (CBs) in Pakistan, keeping in view the phenomenal growth of Islamic banking and its future implications.

A sample of five CBs and four IBs was chosen out of the whole banking industry for the study. Secondary data obtained from the banks’ annual financial reports for 13 years, starting from 2004 to 2016, were analyzed. Multiple regression, correlation and descriptive analysis were used in the examination of the data.

The results show that loan quality (LQ) has a positive and significant impact on CRM for both IBs and CBs. Asset quality (AQ), on the other hand, has a negative impact on CRM in the case of IBs, but has a significantly positive relation with CRM in the case of CBs. The impact of 16 ratios measuring LQ and AQ have also been individually checked on CRM, by making use of a regression model using a dummy variable of financial crises for robust comparison among CBs and IBs. The model proved significant, and CRM performance of IBs was observed to be better than that of CBs. Moreover, the mean average value of financial ratios used as a measuring tool for these variables shows that the CRM performance of IBs operating in Pakistan was better than that of CBs over the period of the study.

The research findings are expected to facilitate bankers, investors, academics and policy makers to build a better understanding of CRM practices as adopted by CBs and IBs. The findings would be useful in formulating policy measures for the progress of the banking industry in Pakistan.

This research is unique in terms of its approach toward analyzing and comparing CRM performance of CBs and IBs. Such work has not been carried out before in the Pakistani banking industry.

The purpose of this paper is to empirically investigate the impact of corruption on the asset quality of banks operating in emerging market economies over the period 2008-2012. This issue is of crucial importance given the role of banking systems in economic development and the worldwide spread of corruption. Using panel data set of 22 countries, our findings provide a strong and robust support to the hypothesis according to which corruption aggravates the problem with non-performing loans. This evidence suggests that corruption may hinder economic development through the misallocation of loanable funds. Other results are as follows: economic expansion and capitalization level improve the loan portfolio quality. By contrast, unemployment deteriorates the debt servicing capacity of borrower which in turn contributes to lower the bank asset quality.

The authors use panel data techniques on a sample of 22 emerging market economies over the period 2008-2012 to test the relevance of corrupt practices on the soundness of banks.

Their findings reveal a robust positive relationship between corruption and non-performing loans (NPLs). This evidence corroborates previous results on the detrimental effect of corrupt practices on financial development. The subdivision of our main sample into two groups on the basis of the level of corruption reveals the importance of the effectiveness of collateral and bankruptcy laws in reducing the effect of corruption on loan portfolio. Moreover, we find that the accessibility to more credit information is helpful only in low corrupt countries since it enhances the soundness of banks by facilitating lending decisions.

The novelty of this paper is to take into consideration the implications of corruption in investigating the determinants of credit risk.

This paper seeks to show how microfinance has contributed to poverty reduction and strengthening the risk management capacity of the poor.

Considers disaster preparedness of micro finance institutions (MFIs) especially in natural disasters, economic crisis and civil conflicts.

Finds that it is essential for MFIs to prepare a strategy for maintaining liquidity in a disaster situation, especially keeping disaster loan funds (DLFs) in reserve to help affected households.

Sees disaster management as a dynamic process that could ideally be developed during normal times and tested in actual disasters but it requires careful planning and commitment on the part of all stakeholders

This study aims to analyze bank lending behavior before and during the most recent financial crisis. Banks are more willing to grant loans during economic expansion. However, this behavior can result in reduced portfolio asset quality. The analysis tries to facilitate understanding of whether this relationship is always true. A second aim of the study is to highlight whether the impact of credit risk on bank lending behavior during a financial crisis is greater for banks that grew faster during the pre-crisis period than for other banks.

The analysis is based on a sample of banks in Italy, an example of a country undergoing a credit crunch without a lending bubble burst. The methodology is based on a panel regression and author uses different models to test his hypothesis: an ordinary least squares, a fixed effect, a least absolute regression and a Generalized Method of Momentum (GMM). This allows to mitigate some of the endogeneity problems.

The essay shows that effectively, most of the banks that grew faster during a pre-crisis period show a higher growth of non-performing loans and a greater reduction in lending activity during a financial crisis. However, 34 per cent of banks that grew faster during a pre-crisis period have a low growth of non-performing loans in the subsequent years. Finally, the results suggest that credit risk negatively affects bank lending behavior, but a higher impact relative to fast banks with respect to other banks cannot be emphasized.

Findings have some policy implications. First, given the adverse effect of the increase of non-performing loans (NPLs) on the bank’s lending activity and on the broad economy in general, there is merit to strengthen supervision to prevent a further increase and accumulation of NPLs in the bank’s credit portfolio. In addition, the supervisors could require that banks take always high credit standard when extend credit, both during positive economic cycle and during period of contraction. The using of higher credit standard could be helpful in the reduction of the pro-cyclicality of bank’s lending behavior and credit risk. Furthermore, the fact that high level of NPLs continues to impact on the bank’s lending activity and that this activity is very important for the economic recovery underlines that banks should clean-up their credit portfolios as soon as possible.

This paper contributes to the literature in various ways. The study analyzes the cyclical effect of credit growth, i.e. banks increase their bank lending behavior during good times, which leads to an increase in bad loans and a high credit risk in their portfolio. These cyclical effects are not knowingly studied together, but the literature usually analyzes the single steps of the cycle. Second, studying listed and unlisted banks allows to have a more representative sample and to analyze better the real bank lending activity considering both commercial than cooperative banks.