Global Financial Crisis and Accounting Rules： The Implications of the New Exposure Draft （ED） Financial Instruments： Expected Credit Losses on the Evaluation of Banking Company Loans

During the financial crisis, the delayed recognition of credit losses on loans and other financial instruments was identified as a weakness in existing incurred loss model of impairment stated by International Accounting Standards （IAS） 39, because it is believed that this delay might generate pro-cyclical effects. In response to the recommendations of G20, Financial Crisis Advisory Group （FCAG）, and other international bodies, the International Accounting Standards Board （IASB） has undertaken, since 2009, as a part of the project to replace IAS 39, a project （partially shared with Financial Accounting Standards Board （FASB）） aimed at introducing an expected loss model of impairment. Within the scope of this subset project, the IASB has previously issued two exposure documents proposing models to account for expected credit losses： an exposure draft （ED） Financial Instrument： Amortized Cost and Impairment, published in November 2009, and a supplementary document （SD） Financial Instrument： Impairment, published jointly with the FASB in January 2011. However, neither of the two proposals received strong support from interested parties. Recently, the IASB, after the FASB＇s decision to withdraw from the joint project and to develop a separate expected credit loss model based on a single measurement approach consisting in the sole recognition of lifetime expected credit losses, published a third proposal--Ahe so-called expected credit losses model （ED/2013/3 Financial Instruments： Expected Credit Losses）.

Causes and solutions of non-performing loan in Chinese commercial banks

Non-Performing Loan （NPL） is one of the concrete embodiments of credit risk which banks take. NPL is a huge puzzle for Chinese commercial banks, so how to enhance risk management to improve assets quality and lower down NPL are of great importance to those banks.

The Impact of Corporate Governance on Banks Performance and Loan Quality： Evidence From Italian Cooperative Banks

In the banking system, a context characterized by growing instability and by the speed of evolution of business dynamics, the system of corporate governance plays a key role, both for large banks and for banks with a smaller size. The paper aims to investigate the influence of corporate governance of the banks that operate in the cooperative credit system on performance and quality of loans, over the years 2010-2011-2012. In order to achieve this aim, the following research hypotheses have been formulated： There is a statistically significant relationship between the size and the structure of the board and banks Performance operating in the cooperative credit system; there is a statistically significant relationship between the size and structure of the board and the credit quality of banks operating in the cooperative credit system. The analysis is conducted on a sample composed of 48 Italian banks, divided into 24 cooperative banks and 24 popular banks. The sample is made up of banks from all over Italy and very different in terms of dimension. For the sample construction, data relative to governance of banks were collected from the balance sheets in the period from June to August 2014. Financial-economic data were collected from the Financial Statements and from Bankscope database. The methodology of analysis is based on multivariate OLS （ordinary least squares） regression models. The main results refer to the presence of significant relationships between board dimension and the quality of loans and among the number of committees and performance and the quality of loans. The presence of a significant and negative relationship between the board dimension and the ratio of impaired loans to gross loans indicates the possibility that enlargement of board dimension allows a better quality of loans. The presence of a positive relationship between the number of committees and the ratio of impaired loans to gross loans signals the possibility that a greater number of committees can produce a worse quality of loans. The presence of a negative relationship between the number of committees and bank performance suggests to limit and manage the complexity of governance in banks operating in the cooperative credit 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.

The Credit Cycle and the Business Cycle in the Economy of Turkey

This study examines econometric relationships between bank lending and the business cycle in Turkey. Firstly, the cyclical components of the real GDP and real bank loans were determined using time series. A cointegration analysis and a vector error-correction model with quarterly data were used for period of 1987：01-2013：03. The results of cointegration analysis indicate that there is a single stable long-run equilibrium relationship between real bank loans and macroeconomic variables. The response of bank loans to GDP shocks is positive. Bank loans have pro-cyclical character in Turkey.

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.

SMEs Access to Financial Services： Bankers＇ Eye

This paper reports Tanzanian bankers＇ reasons for not giving SMEs the amount they request as loans to finance their businesses. Open ended interviews were used to collect primary data from eight interviews in six commercial banks that serve SMEs and which have been in operation for more than five years. Secondary data was obtained from different documents like World Bank reports, brochures and websites of visited banks to mention the few. Findings show that sectors which are perceived as too risky by banks, poor documentation by borrowers which make banks unable to assess their creditworthiness, lack of understanding by SMEs themselves as to why they are doing businesses they do, lack or very limited knowledge on financial management by SMEs, lack of awareness of different products offered by different banks, stagnant businesses as well as lack of proper securitiries to cover their loans are reasons behind banks reluctant to provide loans to SMEs. Findings clearly show that it is still difficult for new SMEs to access finance from banks in Tanzania. It is critical for existing SMEs to put their houses in order to the level that is acceptable by banks if they need to approach banks for loans. Banks in Tanzania need to review their policies on the maximum amount of loans to SMEs to reflect the market demands. At the moment, new SMEs should not have much hope of getting finance assistance from most banks. Further, training institutions should continue educating SMEs on relevant aspect that are important to lenders and lastly, the government should consider providing guarantee to SMEs sectors that are perceived as too risky by banks just like the ongoing initiatives in the agriculture sector.

An Assessment of the Within-Year Seasonality in the Loan Loss Provisioning Behavior of European Banks

This study aims at assessing whether a significant within-year seasonality exists in the loan loss provisioning behavior of European listed banks observed in the period from 2004 to 2013. Since the accuracy of auditing processes and the level of disclosure requirements in financial reports differ among quarters, during the year, banks may have a leeway to underestimate and postpone the complete provisioning of loan losses in the less regulated and less audited quarters. We hypothesize that those differences are relevant factors which determine non-lower or significantly higher average levels of loan loss provisions in the half-yearly and especially in the annual financial reports than in the interim management statements disclosed in the first and the third quarters of the year. We also investigate the impact of the recent financial crisis and develop a special analysis for the ltalian banks＇ case. The empirical results support our hypotheses, suggesting that, in some cases, a convergence among quarterly levels of auditing processes and disclosure requirements may be needed. Our work contributes to the existing literature by providing additional evidences and considerations on the within-year seasonality in the loan loss provisioning behavior of European listed banks observed in the last decade.

Credit Risk （Based on Analysis of Financial Statements） as the Decisive Factor Influencing the Risk of Investors

Banks as the key subjects in the financing of investment have a strong influence on the risk of investors. Hence, the solvency of the bank is of crucial importance for the risk management in the investment process. Given the fact of underdevelopment of financial markets and the lack of trading activities in securities, it is evident that the investments of banks in the developing countries mostly include lending investments. Looking at the key categories of risk that influence the overall risk of the banking business in such conditions, it can be concluded that credit risk presents the dominant and decisive factor. The aim of the paper is to select the bank determinant key factors of credit risk and to determine the extent to which non-performing loans （NPL） of bank credits affect the solvency of banks, and therefore also the risk of investors. This selection of the main determinants will be based on the analysis of financial statements. This is essential, especially taking into account the impact of the global financial crisis and the increasingly frequent falling into insolvency customers. Finally, liquidity of customers is that of the bank, and it is crucial for investors to timely identify possible risks associated with bank loans in order to proactively manage risk investment.

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.

Loan Loss Reserves （LLR）, Expected Loss （EL）, and Value at Risks （VaR）

This paper clarifies the distinctions between loan loss reserves （LLR）, expected loss （EL）, and loan loss provisions （LLP）. The paper also includes information on individual and collective impairment assessment of local commercial banks in Malaysia collected from their annual reports. Most banks have maintained collective assessment （CA） allowance ratio of lower than 1.2% of gross total loans.

Survey of the Creditor＇s Ability to Collect and Use the Enterprise Information

This paper is concerned with the analysis of the creditor＇s ability to collect, analyze and judge business information, which is a realistic problem for the bank to control the risk of loan effectively. We not only know the bank＇s application of financial and non-financial information during the process of credit extension but also investigate the use of non-financial information by questionnaire. It is discovered that the bank even believes the information that directly acquired by itself while collecting, analyzing and judging the reliability of business information. Through some sensitive information such as the changing of accounts receivable and cash flow and the connection trade, it can predict the potential risk further. In addition, the results show that it is the perfection of internal control system of intermediary （such as accounting firm） and the business enterprise itself that make the bank get the true information of business enterprise.

The Empirical Estimation of the Influence of Credit Risk Determinants in Baltic States＇ Banking Sector

There have been investigated empirically the influence of macroeconomic and real estate market variables on the level of non-performing loans in the Baltic States. A secondary goal was to analyze the effect of constant loan portfolio growth on the level of non-performing loans in mentioned countries and to define the type of influence of the variables （i.e., long-term or short-term）. The research indicates that all variables except the growth rate of the real estate market （RRE） have long-term influence on the level of non-performing loans. RRE has short-term influence and variables influence is associated with the development of another variables. The influence of RRE played an important role, but it was not as crucial as it has been previously assumed. If a respective credit risk management is applied, the influence of RRE is to be eliminated. The research results indicate that the most significant reason for the growth of non-performing loans for the Baltic States presented by rapid growth of aggregated loan portfolio and unemployment rate. The increasing influence of rapid loan portfolio growth proves the assumption that banks＇ credit risk management policies underestimated the changes in the macroeconomic variables during the analyzed period. The changes in the real GDP had initial influence on the economic situation deterioration for Baltic States.

Credit Risk Transfer and the Performance of Commercial Banks --Based on the Panel Data

Based on the panel data, we analyze the US commercial banks＇ CRT. According to the study, we find that the introduction of CRT will increase the level of banks＇ liquid risk. The performance of bank mainly is that its supervision and review of risk will drop, based on the impact of asymmetric information, commercial Banks transfer the bad loans to investors. Through the analysis we can see that after the transfer of credit risk in commercial bank did not increase income and reduce risk. Because commercial Banks can extend more bad loans to expand its lending scale, and bad loans will increase the bank overall risk.

Information on Financial Statements for Loan Decision-Making of Commercial Banks in Vietnam

Financial statements （FS） are tools which provide information to users for making business decisions. Among the organizations, banks are the firms which conducted and did business with risks. In particular, commercial banks continue to play a dominant role in the whole system, and local commercial banks still have an edge in its widespread network across the country over foreign banks. This article is going to present the survey which clarifies the role of FS in commercial banks＇ loan decisions in Vietnam. Moreover, this paper also discusses FS＇s quality currently, thereby making suggestions for enterprises to enhance the usefulness of accounting information in borrowing activities. This paper has taken performance with 74 official employees in commercial banks in Vietnam. The results indicated the qualitative characteristics of banks when disclosing the financial statements. This article also gave the six oriented solutions to improvement of the loan decision-making by banks.

An Evaluation of the Effect of Credit Risk Management （CRM） on the Profitability of Nigerian Banks

This paper assesses the effect of credit risk management （CRM） on the profitability of Nigerian banks with a view to discovering the extent to which default rate （DR）, cost per loan asset （CLA）, and capital adequacy ratio （CAR） influence return on asset （ROA） as a measure of banks＇ profitability. Data were generated from secondary sources, specifically, the annual reports and accounts of quoted banks from 2002 to 2011. Descriptive statistics, correlation, as well as random-effect generalized least square （GLS） regression techniques were utilized as tools of analysis in the study. The findings establish that CRM as measured by three independent variables has a significant positive effect on the profitability of Nigerian banks as indicated by the coefficient of determinations ＂R2 value＂ which shows the within and between values of 40.89% and 58.35% （which are impressive） while the overall R2 iS 43.91%, indicating that the variables considered in the model account for about 44% change in the dependent variable, that is, profitability. The study recommends that banks＇ management should be more scientific （application of risk evaluation techniques） in their credit risk assessment and management of loan portfolios in order to minimize the high incidence of non-performing loans and their negative effect on profitability.

幽默

电脑医生 一天，皮特对朋友说：“我的肘部很痛，我想看医生。”

How Does Debt Structure Influence Stock Price Crash Risk?

This paper uses the financial data of Chinese listed firms to explore the relationship between the debt structure, which is measured as the ratio of trade credit to bank loan, and future stock price crash risk. The empirical results show that the ratio of trade credit to bank loan is positively associated with the firm-specific crash risk while a good institutional environment reduces this positive relationship. In addition, considering the firm＇s ownership type, the authors find that the positive relationship between the debt structure and crash risk is more significant in the SOEs.

Multi-period Bank Hedging with Interest Rate Futures

In this paper, a model for multi-period bank hedging with interest rate futures is set up. Formulas for the optimal dynamic multi-period bank and static bank hedge ratio are derived. The described model offers the potential benefits of： （1） although these formulas are developed for the case of direct sheet balance multi-period hedging, the framework used is sufficiently flexible so that these formulas can be applied to bank loan or deposit multi-period hedging situations respectively. （2） Periodic modification and updating of the interest rate futures position, as suggested by interest rates, throughout the bank hedging horizons. （3） This paper examines a situation in which the return of loan, the interest rate of deposit and the equity capital of bank, and interest rate futures prices are cointergrated, Multi-period bank hedging formulas are derived under three-dimensional stochastic volatility model. However, empirical research is required for validating this model.