This paper aims to evaluate the macroeconomic and bankspecific determinants of non-performing loans (NPL) in the Nepalese banking system using both static and dynamic panel estimation approaches. The study considers 30 Nepalese commercial banks over the period 2003-2015 and uses 7 bank-specific and 5 macroeconomic variables to assess the impact of banking management and economic indicators on NPL. The findings show that NPLs have significant positive relationship with the export to import ratio, inefficiency, and assets size and a negative relationship with the GDP growth rate, capital adequacy, and inflation rate. The results of the empirical study indicate low economic growth as the primary cause of high NPLs in Nepal and suggest that efficient management and effective financial policies are required for a stable financial system and economy. This is the first complete study in the Nepalese banking system and also the first study that has evaluated the effects of remittance, public debts and interest spreads on NPL. The findings of this study will be helpful in designing the macroprudential and fiscal policies in Nepal.

This study investigated the impact of banking management on credit risk using a sample of Indian commercial banks. The study employed dynamic panel estimations to evaluate the link between banking management variables and credit risk. The empirical results show that an increase in loan portion over total assets does not necessarily increase problem loans. The findings suggest that high capital requirements and large bank size do not reduce default risk, whereas high profitability and strong income diversification policies lower the likelihood of default risk. The overall empirical results supported the "operating efficiency", "diversification" and "too big to fail" hypotheses, confirming that credit quality in the banking industry is mainly driven by profitability, banking supervision, high credit standards and strong investment strategies. The findings are relevant to bank managers, investors and bank regulators, in formulating effective credit policies and investment strategies.

Purpose The purpose of this paper is to empirically assess the significant indicators of macroeconomic environment that influence credit risk in high-income countries. Design/methodology/approach The study employs the system generalized method of moments estimator to avoid the dynamic panel bias and endogeneity issues. Different indices of economic growth are used in each model in order to find the most significant proxy of the economic cycle that influences problem loans. The analysis is carried out using a sample of 49 developed countries covering a 16-year period (2000–2015). Findings The overall empirical results highlight that the development of industrial sectors and exports are the main drivers of loan performance in high-income countries. The findings specifically recommend adopting an expansionary fiscal policy to boost per capita income and potential productivity for the safety of the banking system. Practical implications The findings have direct practical applicability for stabilizing the financial system. The study recommends the government to increase the productivity of export-oriented industries in order to boost employment and increase the payment obligations of individuals and business firms. More importantly, it highlights the essentiality of perfect economic policy to control default risks. Originality/value To the best of the authors’ knowledge, this is the first empirical study that compares the relative effect of three alternative proxies of the economic cycle on credit risk and identifies the most significant proxy. The current study also empirically shows that industrial development could be one of the crucial factors to improve financial health in developed countries.

Growth and competition are rapidly rising in life insurance sector. Companies have challenge to stay in the market and earn profit as well as build trust among the end users. In this context, companies have to expand business by selling more life insurance policies. However, only selling new policies might not be the solution to increase profit. Thus, company needs to ensure minimum to zero lapse rates for the sustainable growth of the company. This study investigated the impact of lapse rate and revival rate on net worth, profitability, life fund, and total premium income of life insurance industries in Nepal over the period 2010-2019. The study employed Generalized Method of Moments (GMM) for empirical estimation. The empirical results showed the lapse rate, profitability, revival rate and surrender rate of 23.91%, 2.64%, 88.82% and 3.83%, respectively in the life insurance industries in Nepal during the 10 years’ period. The lapse rate was significantly negatively correlated with life fund and the total premium income with the–model coefficients of 0.1474065 and -0.19244, respectively. Moreover, the empirical estimation showed a significant positive correlation between lapse rate and profitability. This might be because high lapse rate lowers the provision of unexpired risk and life fund resulting in higher amount of profitability. The revival rate was significantly positively correlated with the profitability. This might be because higher revival rate increases the renewal income of a company, resulting in more funds available for investment thereby bringing positive cash inflow for the company. However, the revival rate did not show any significant association with net worth, life fund and total premium income.