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.

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.

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.

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.

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.

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。

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.

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。

On the Pricing Method of the Non-performing Loan Securitization

This paper analyzed in depth the difference between the pricing of non- performing loan （NPL） securitization and that of ordinary asset securitization. It has explained the pricing thought and method of non-performing loan backed securities in connection with the particularity and complexity of non-performing loan and finally proposed some key problems which need to be emphasized during the pricing practice of non-performing loan backed securitization.

P2P网络借贷中存在地域歧视吗？--来自“人人贷”的经验数据

随着P2P网络借贷在我国的快速发展,借贷关系中的歧视现象开始受到国内外学者的关注。笔者运用"人人贷"平台的借贷数据,从借贷双方的角度出发,实证检验P2P网络借贷中是否存在由地区间收入水平不均衡引发的地域歧视现象。结果表明,P2P网络借贷中存在明显的地域歧视,表现为两个方面:首先,贷款人倾向于向高收入地区的借款人提供资金,而不愿贷款给低收入地区的借款人;其次,低收入地区的借款人倾向于设定较高的利率以获得贷款,高收入地区的借款人则会设定较低的利率。进一步研究发现,地域歧视现象存在异质性,具体来说,低学历、低信用、低认证数量、高借款金额借款人受到的地域歧视较为明显,而对高学历、高信用、高认证数量、低借款金额的借款人的地域歧视不甚明显。

美国降低国家担保学生贷款拖欠率的经验及启示

美国国家担保学生贷款拖欠率由20世纪90年代初的20％多下降到本世纪初的6％左右,取得了巨大的成功。美国对学生贷款拖欠规律的研究以及降低学生贷款拖欠率的经验,对防治我国国家助学贷款可能出现较高的拖欠率具有重要的借鉴意义和参考价值。

企业避税行为影响其银行债务契约吗——基于A股上市公司的考察

本文基于债权人视角考察企业避税行为的经济后果。利用2001-2014年我国A股上市公司的数据进行研究发现,企业避税行为伴随着更高的银行贷款成本,以及更短的贷款期限,即使经过一系列稳健性检验后,本文的结论依然成立。这说明,我国商业银行能够识别企业避税行为,相应地提高了避税企业的融资成本。进一步的研究显示,企业避税对银行贷款成本的影响随债权人与最终控制人利益协调性的提高而降低,随公司信息不透明度的提高而增强。因而,企业避税潜在的代理成本是影响银行信贷的重要因素,支持了委托代理框架下企业避税的相关理论。本文的研究结论有助于理解企业避税行为的经济后果,同时也有助于理解商业银行的信贷机制。

我国商业银行信贷市场贷款定价理论研究

随着我国信贷市场利率市场化的发展,贷款定价已成为商业银行市场竞争的关键性策略。西方商业银行的贷款定价模式主要有成本加成定价模式、基准利率加点定价模式和客户盈利分析模式。本研究在贷款定价现状分析、利率市场化进程分析、贷款定价基础理论解析和贷款定价模式解析的基础上,指出我国商业银行贷款定价存在的主要问题是定价方式随意性较大、风险和收益之间缺乏匹配、贷款定价机制僵化、贷款定价的业务数据不足、贷款成本管理滞后和贷款定价机制缺乏,认为我国商业银行贷款定价的主要深化策略是确定内部资金转移价格、构建信贷风险评价体系、建立运营成本分摊系统、构建贷款定价信息系统、构建科学的贷款定价激励机制。我国商业银行贷款定价机制的构建不仅需要立足于本国信贷市场的具体环境,也要充分借鉴西方商业银行的贷款定价经验,才能逐步达到预期的目标。