The Impact of Bank-Specific and Macroeconomic Factors on Non-performing Loans in Sri Lankan Commercial Banks

The main purpose of this study is to ascertain the effect of bank-specific and macroeconomic factors on non-performing loans in systemically and non-systemically important commercial banks in Sri Lanka over 10 year’s period from 2004 to 2013.Also,the study examines the impact of civil war that prevailed in the country for 30 years on the ex-post credit risk of the banking sector.The study employed panel data methodology to investigate the effect of bank-specific and macroeconomic factors on non-performing loans.Panel unit root test has been undertaken in order to test the stationary of the variables.Hausman test and Wald coefficient restriction test were used to select the appropriate model out of pooled,random,and fixed effect.A dummy variable panel regression model adopted to study the war effect,considering 2009 as the structural year.Findings revealed that return on assets as a proxy for bank efficiency has a significant negative influence,while non-interest income as a proxy for income diversity is positively correlated with non-performing loans of systemically important banks.Both real gross domestic products and lending rates were highly significant in both bank types.On contrary with literature,growth in bank branches is negatively correlated.Public banks do not account for higher level of non-performing loans compared to their private counterpart.Finally,it was identified that civil war had an effect on the level of non-performing loans in commercial banks.The research would have benefited if the analysis is carried out among classified types of loans offered by commercial banks.Future researchers should involve in identifying the most significant contributing loan type to the non-performing loans and its determinants.This study is one of the few studies which have investigated the causes of non-performing loans in the commercial banking industry in Sri Lanka.The analysis of civil war and its impact on non-performing loans is the first study of that nature to be conducted in the context.

Non-performing Loans in Turkish Banking Sector and Balance Sheets Effects

In the 21st century, while the scope of banking activities has been expanding every day, collecting deposits and providing credit remain as their main and most important functions. They transfer the collected funds thanks to the market confidence they create back to the market in terms of the credits they give. For the organizations operating in the banking sector, crediting is the highest revenue earning source. However, uncollected loans may disrupt the activities of banks and may reduce their effectiveness. Therefore, the control of bank credits has a particular importance in the bank balance sheets. In this study, the relationship between bank balance sheets and non-performing loans （NPL） will be analyzed using Granger causality test and vector autoregressive （VAR） method. This study aims to discuss the impact of NPL on balance sheets and contribute to making correct credit decisions. It also intends to assist to reduce the NPL ratios of banks and minimize the level of negativity in their financial statements.

Research in the Securitization of the Non-performing Loans of China＇s State-owned Banks

In this paper, through analyzing the necessity of the securitization of the non-performing loans of China＇s state-owned banks, the author proposes some tentative ideas for the securitization of the non-performing loans and works out some problems that need to be solved in this process.

Predictive Modeling and Expectable Loss Analysis for Borrower Defaults of Mortgage Loans

Home mortgage loan lending firms are exposed to many business risks.This paper focuses on the mortgage loan borrower risks and proposes a prospective loss analysis approach in regard to loan repayment defaults of borrowers.For this purpose,a predictive modeling is presented in three stages.In the first stage,occurrence of borrower defaults in a mortgage loans portfolio is modeled through the generalized linear models(GLMs)type regressions for which we specify a logistic distribution for default events.The second stage of modeling develops a survival analysis in order to estimate survival probability and hazard rate functions for individual loans.Ultimately,an expectable loss amount model is presented in the third stage as a function of conditional survival probabilities and corresponding hazard rates at loan levels.Throughout all modeling stages,a large and real data set is used as an empirical analysis case by which detailed interpretations and practical implications of the obtained results are stated.

A Model of Interest Rate and Loan Covenant Competition

This paper develops a model where two lenders to subprime borrowers compete with the interest rates charged and the severity of loan covenants. The model has a stable equilibrium, which demonstrates how an increase in the number of borrowers or an increase in the cost of meeting covenants will reduce the severity of the covenants required by lenders, and each of these changes will increase the difference in the severity of the loan covenant levels. An increase in the expected losses to the lender from relaxing covenants will increase the severity of loan covenants, and this will also make the levels of severity more dispersed. Additional analysis demonstrates how exogenous shifts affect the interest rates charged by the lenders and their profits

The Effects of Intangible Assets （IA） on the Loan Interest Rates for Small- and Medium-Sized Enterprises （SMEs） in Taiwan

This study is motivated by the lack of direct empirical research on the relationship between intangible assets （IA） and loan interest rates for small- and medium-sized enterprises （SMEs） in emerging markets. This study uses a multivariate regression to investigate the effects of 1A on loan interest rates by focusing on SMEs. Using a panel sample of 186 publicly-listed SMEs with 952 annual observations in Taiwan from 2001 to 2006, the empirical findings indicate that an SME＇s IA does negatively affect loan interest rates. The main contribution of this study lies in its direct testing of whether IA can affect the loan interest rates for SMEs in an emerging market. The finding provides empirical evidence that an SME with greater IA leads to lower interest rates on bank loans, implying that SMEs should strive to invest in IA and enhance their knowledge management for obtaining more benefits of loan interest rates. Furthermore, the findings may provide empirical evidence for SMEs in emerging markets and can be compared with those for firms in industrialized economies.

坚持以人民为中心的发展思想破解房地产困局——基于降低个人住房贷款利率的角度

中国房地产市场的发展既是经济问题,也是关乎人民利益的社会问题。面对房地产困局,“以人民为中心”应当作为房地产市场政策调整的出发点和落脚点。房地产市场发展的最终目的是为了改善人民的物质文化生活,实现人民共同富裕。从宏观金融角度而言,降低个人住房贷款利率有利于稳定房价,稳定金融市场,助力房地产市场软着陆。从微观角度而言,降低个人住房贷款利率能够降低购房成本,减小生活成本支出,有利于提高人民生活质量,更好地体现“以人民为中心”的发展理念。同时,降低个人住房贷款利率具备相应的理论基础和现实依据,个人住房贷款利率存在继续降低的空间。

涉农贷款如何实现可持续供给——基于利率定价和补偿测算的四维分析框架

农村金融的可持续发展离不开涉农贷款的供给。但涉农贷款具有低收益和高风险并存的特征,防范和化解风险的同时又要激励银行持续支农,因而需要建立完善的风险补偿机制。本文立足于农村金融的供给侧,通过拓展利率定价中的价格领导模型,厘定可识别风险的贷款利率,提出了以此利率为基础的补偿数额测算方法,构建银行“内部收益补偿-外部收益补偿”“内部损失补偿-外部损失补偿”的四维量化分析框架,并以W农村商业银行为例做了具体测算。研究发现:(1)当前风险补偿以银行内部补偿为主,外部补偿力度不足;(2)银行外部补偿过少和内部补偿过多,会加剧其脱农离农倾向和贷款行业的持续分化;(3)相比损失补偿,银行对涉农贷款的收益补偿需求更多。据此,应以银行主要承担损失补偿和政府加大外部收益补偿为思路,进一步优化涉农贷款的补偿机制。

贷款市场报价利率(LPR)对企业投资决策的影响探究

本文深度剖析了贷款市场报价利率(LPR)的形成背景及其深远意义,详细解释了贷款市场报价利率(LPR)的概念,并分析了其在宏观经济、企业微观层面以及创新领域的深远影响,探讨了贷款市场报价利率(LPR)的变动与企业的投资决策之间的紧密联系。本文运用投资决策理论框架,结合实际案例,采用定量和定性研究方法,从宏观经济、企业微观层面以及LPR调整机制等多个角度,深入挖掘了贷款市场报价利率(LPR)对企业投资决策的潜在影响,并提出了一系列企业应对贷款市场报价利率(LPR)调整变化的策略。本文研究的成果不仅丰富了贷款市场报价利率(LPR)的理论研究体系,还为企业在实际操作中的决策提供了有益的参考和借鉴。

Loan growth and bank solvency:evidence from the Pakistani banking sector

Background:The dramatic loan growth and changes in the Pakistani banking system in mid-2000s have led to significant research attention on borrowers and lenders.This expansion and diversification in financial sector was driven by structural reforms,political stability and significant economic growth.Against this background,this study investigates the loan growth and risk-taking behavior of the banks during the expansionary periods of lending.Method:This study used dynamic two-step system generalized method of moment’s estimation technique,based on data taken from 32 banks in Pakistan over 2006-2014.Result:Loan growth has a significant effect on bank-specific and macroeconomicspecific variables.Loan growth in the previous year raises non-performing loans and decreases the solvency of banks with a time lag of many years.The driving force behind this phenomenon is weak prudential regulation among competitors,the asymmetric information of the borrowers,and,most importantly,that banks underestimate the risk of lending during credit booms.Conclusion:More regulatory measures are required to ensure a strong financial system when the volume of non-performing loan grows significantly.An increase in the capital requirement policy for rapidly growing banks is also needed because the problem of abnormal loan growth cannot be detected at the current time.At the same time,strong supervision is necessary to avoid the adverse consequences of borrower selection.

Non-performing loans(NPLs),liquidity creation,and moral hazard:Case of Chinese banks

This study analyzes the impact of non-performing loans(NPLs)on bank liquidity creation to investigate the existence of moral hazard problem in Chinese banks.It uses data from 197 listed and unlisted Chinese banks,spanning the period 2005 to 2014.Total liquidity creation by Chinese banks is declining,and NPLs ratio has started to increase following a continuous decline between 2005 and 2012.Using one-step system GMM estimation,fixed and random effect model,and pool data analysis,we find that liquidity creation by Chinese banks does not depend on NPLs ratio,i.e.,we did not find the evidence of moral hazard problem in Chinese banks.We repeated the analysis for small and large banks and the results of these sub-samples reinforced our findings for the aggregate sample.

Do Macroeconomic Determinants of Non-Performing Loans Vary with the Income Levels of Countries?

This paper explores the macroeconomic determinants of non-performing loans(NPL) in 19 Asian countries(low to high income economies) using the Generalized Method of Moments estimation approach based on the economic data for the period between 1998 and 2015. The categorization of the economies is based on the average gross national income per capita as set by the World Bank.Specifically, the paper aims to evaluate if the determinants of NPL vary with the income levels of the countries. The results indicate that the NPL is strongly influenced by the inflation rate. The effect is,however, negative in the high-income and the middle-income countries and positive in the low-income countries. The GDP per capita has a dynamic negative relationship with the NPL in the high-income and the low-income countries. The remittance has a significant positive association in the high-income and a significant negative association in the low-income countries. Similarly, the unemployment rate has a positive effect on NPL in the middle-income and the low-income countries. With the rise in the official exchange rate, the NPL level increases in the low-income countries. The overall estimation results suggest that the NPL in Asian banking system depend on some key macroeconomic variables,such as unemployment rate, inflation rate, official exchange rate, remittance received and gross domestic product per capita, and these associations vary with the income level of the countries. Therefore,economic level of a country should be carefully considered while formulating credit policy to minimize credit risks in the banking system.

Loan Loss Provisioning Practices

The purpose of this paper is to come up with factors in loan loss provisioning practices on commercial banks that reflect on collectability of defaulted loans. The need for this research is due to failures in the loan loss provisioning practices which resulted in loan loss provisions （LLP） not reflecting on collectability of the defaulted loans. As a consequence, the banks do not capture their loss expectations and do not continuously reassess their loss expectations as the conditions affecting their borrowers may change. Henceforth, in their financial reporting, the banks do not represent relevantly and faithfully their true underlying credit risks conditions. When the banks do not represent relevantly and faithfully their true underlying risk conditions, they contradict the objectives of useful financial reporting. The results showed that among explanatory variables, bad debt recoveries as a factor in loan loss provisioning practices that reflect on collectability of defaulted loans was rejected. Bad debt recoveries was a biased variable and inconsistent estimator. In context of perceived credit risks as the basis to make credit judgments, an estimate of bad debt recoveries had not fulfilled the criteria. On the other hand, non-performing loans （NPL） as a factor in loan loss provisioning practices was not rejected.

Modelling time series properties of Australian lending interest rates

The purpose of this paper is to examine the time series properties of Australian residential mortgage interest rates, and in doing so, establish whether or not selected home loan rates （product-level monthly home loan interest rates for CBA） exhibit the expected cyclical and seasonal variations and whether seasonality, if present, is stochastic or deterministic. In particular, due to a well established presence of cyclicality in financial markets＇ interest rates and strong correlation between financial markets＇ interest rates and home loan interest rates, the paper presumes that cyclicality is also to be found in home loan interest rates. Furthermore, the paper tests the hypothesis that home loan interest rates, for selected products, exhibit the three identified （＂Spring＂, ＂Autumn＂ and ＂The end of the Financial Year＂） season-related interest rate reductions. The paper uses a structural time series modelling approach and product-level home loan interest rates data from one of the biggest banks in Australia, Commonwealth Bank of Australia （CBA）. As expected, the results overall confirm the existence of cyclicality in home loan interest rates. With respect to the seasonality of home loan interest rate, although most of the analysed variables show the presence of statistically significant seasonal factors, the majority of the statistically significant seasonal factors observed cannot be attributed to any of the three considered seasonal effects.

农业节水灌溉REITs项目IRR测算研究

通过农业节水灌溉特许经营项目REITs案例研究发现,基础设施特许经营项目存在价值漏损时,可采用修正的B-S期权模型进行估值,可分配现金流用于分红的比例越高,投资收益越高,但项目的看涨期权价值越低。在项目高溢价转让的情况下,银行贷款比例越高、偿还时间越短,投资内部收益率(IRR)及投资收益可能越低;收益波动越大,看涨期权价值越大,但IRR可能会下降。采用B-S期权定价模型丰富了现有经营权类公募REITs资产估值方法,具有推广应用价值。对公募REITs产品在不同贷款比例、还款期限以及分红条件下确定合理投资收益,具有实践指导作用。

LPR新机制下利率锚的最优选择

贷款市场报价利率LPR改革作为疏通货币政策传导路径的关键手段,最大特点是引入中期借贷便利(MLF)作为“利率锚”。以LPR新机制改革为切入点,运用OLS、TVP-VAR模型验证以MLF为“利率锚”的有效性,构建VAR模型探究市场化“利率锚”的最优选择问题。结果表明:LPR新机制下从贷款基准利率到MLF政策利率的“换锚”改革仅仅实现初步市场化,“利率锚”的市场化程度对货币政策传导作用尤为重要;从基准性和稳定性两个方面比较分析Shibor、Repo和DR 007三种备选利率,确定DR 007为市场化“利率锚”的最优选择,加深“利率锚”市场化程度,提高货币政策利率传导机制有效性,促进实体经济发展。

中小企业不同渠道的贷款市场均衡利率及其影响因素

分别构建了银行贷款和有代际联系的企业委托贷款Walras均衡模型,研究了银行贷款与企业间委托贷款的市场均衡利率.研究表明,银行贷款市场均衡利率为社会最优,且被中小企业纾困后收益正向影响.存在代际联系的委托贷款市场均衡利率终会达到稳态,也受中小企业纾困后收益正向影响,但不是社会最优.委托贷款市场均衡利率对中小企业纾困后收益的敏感性更高.放贷风险、融资需求和中小企业纾困后收益决定了中小企业获得贷款的渠道及其市场均衡利率水平.

房贷利率下调对商业银行影响的调查——以吉林省为例

2023年1月,吉林省长春市、吉林市和四平市对符合条件的首套住房商业性个人住房贷款利率下限调整到了3.8%。本文针对政策调整后居民房贷提前还款情况,对吉林省内金融机构、房产中介、购房者等80个调查对象开展调研,发现:首套房贷利率下调引发“提前还贷潮”,导致银行个人房贷下行压力加大、投诉纠纷事件迅速增加、潜在金融风险上升等问题。对此,建议允许银行与购房者协商存量房贷利率“让利保规模”、加大存量购房者税收减免、加强行业自律、打击不良中介、引导公众预期以应对提前还款加剧。

低债券票面利率会降低企业贷款成本吗——基于替代性融资视角的分析

利用2015—2021年上市公司发债数据,本文分析了债券票面利率是否影响企业银行贷款成本以及相应的机制。结果发现:发行票面利率较低的债券会显著降低企业的银行贷款成本,经过一系列稳健性检验之后上述结论依然成立。其次,机制分析表明,在银行主导力量小以及融资约束程度低的企业中,低债券票面利率降低贷款成本的作用更显著。换言之,当企业对银行贷款的依赖性越小、获取其他融资的能力越强时,发行票面利率较低的债券越能增强企业的议价能力,进而更能降低贷款成本,体现出“替代性融资”机制。然而,债券票面利率对贷款成本的影响在信息不对称程度和财务健康程度不同的企业中没有显著差异,这说明“信号机制”并不能有效地解释票面利率与银行贷款成本之间的关系。最后,进一步分析发现,当财务健康程度较差的企业发行票面利率较低的债券时,债券的一二级市场价差增大,说明财务状况差的企业存在压低票面利率的倾向。本文的结论为提高债券市场直接融资比重、改善债券市场信息环境、规范企业的债券市场行为以及加强对债券市场一二级异常价差的监管提供了相应的经验证据。