Spatial dependence in microfinance credit default

Credit scoring model development is very important for the lending decisions of financial institutions. The creditworthiness of borrowers is evaluated by assessing their hard and soft information. However, microfinance borrowers are very sensitive to a local economic downturn and extreme (weather or climate) events. Therefore, this paper is devoted to extending the standard credit scoring models by taking into account the spatial dependence in credit risk. We estimate a credit scoring model with spatial random effects using the distance matrix based on the borrowers’ locations. We find that including the spatial random effects improves the ability to predict defaults and non-defaults of both individual and group loans. Furthermore, we find that several loan characteristics and demographic information are important determinants of individual loan default but not group loans. Our study provides valuable insights for professionals and academics in credit scoring for microfinance and rural finance.     

Information acquisition,foreign bank entry,and credit allocation

This paper presents a theoretical framework to understand the impact of foreign bank entry on the access to and the price of credit for different types of firms. A major point of departure from the previous literature is that incumbents’ information about firms is endogenous in the model; previous screenings and lending relations of incumbents determine which type(s) of firms they can identify. I show that incumbents’ information is negatively correlated with the quality of borrowers. Moreover, although a priori entrants have a comparative advantage in lending to transparent firms, previous lending relations of incumbents might reverse this relation. In particular, given that transparent firms are the only type screened before the entry and therefore they are the only type distinguishable by incumbents, entrants might have a comparative advantage in lending to opaque firms. The analysis provides new insights into the inconclusive evidence of the literature regarding entrants’ credit allocation.     

Measuring mortgage credit availability: A frontier estimation approach

We construct a new measure of mortgage credit availability using a technique developed for production frontier estimation. The resulting “loan frontier” describes the maximum amount obtainable by a borrower of given characteristics. We estimate this frontier using mortgage originations data from 2001 to 2014. We find a substantial expansion of mortgage credit for all borrowers during the housing boom, not only for low‐score or low‐income borrowers. The subsequent contraction in credit was most pronounced for low‐score borrowers. Using variation in the frontier across metropolitan areas over time, we show that borrowing constraints played an important role in the recent housing cycle.     

Lending attitude as a financial accelerator in a credit network economy

In existing literature, commercial banks are often considered mere financial intermediaries that facilitate the flow of credit in an imperfect credit market. However, as demonstrated in the history of financial instability, the behavior of financial institutions plays an important role. This paper examines how lenders’ attitudes affect macroeconomic performance. In our analysis, the economy is composed of multiple borrowers (firms) and one lender (bank). Each borrower is directly connected to the lender through its credit contract. At the same time, each borrower is indirectly connected to all the other borrowers within the credit network. Using this model, we execute computer simulations to examine the economic consequences of lending attitudes. The results of the simulations demonstrate that the bank’s lending attitude functions as a financial accelerator; that is, it significantly affects the dynamics of the economic system through the credit network. Consequently, the same level of exogenous shock generates completely different outcomes depending on the different lending attitudes. The results also show that there exists an optimal lending attitude that leads to high economic growth and a stable growth path.     

Development of bank microcredit

We analyze the process by which banks enter the microcredit market while still engaging in traditional credit practices. For this we study a competitive credit market with adverse selection, where lenders are endowed with a screening technology capable of extracting an informative signal about a borrower’s quality if enough time is devoted to process the loan application. The time necessary for signal extraction depends on the borrower’s informational transparency. In the presence of opaque and transparent borrowers, depending on economy parameters, either a separating equilibrium with standard credit or microcredit prevails or a pooling equilibrium with either loan contract prevails.     

Asymmetric information,foreign entry and multi-period credit competition in banking industry

In a credit market, a low-cost foreign entrant is likely less informed than a domestic bank with information endowments. We present a steady-state model in an infinite-period framework, and analyze how the informational asymmetry affects the lending equilibrium and the foreign banks’ entry modes. Firstly, we show that the domestic bank's initial informational advantage from its relatively large market share at the beginning of competition is not enough to hinder the entry of a low-cost foreign bank. In addition, the foreign bank is more likely to be the winner in the steady state of an infinite-period game than that in a static game. Secondly, the comparative static analysis show that the likelihood of foreign bank becoming the winning party increases with borrower quality, project payoff and the growth rate of potential new borrowers. Thirdly, when the foreign bank wins game in the steady state, its market share is decreasing in project payoff and the growth rate of new borrowers, while changes non-monotonically with borrower quality. Finally, we extend our model to characterize the domestic bank's sustainable advantage in being relatively familiar with new market, and provide valuable explanations for the observed entry modes of foreign banks in China.     

Multiple common bond credit unions and the allocation of benefits

Credit unions are cooperatively owned financial institutions, where input suppliers (savers) are also the consumers of the outputs (borrowers). A key issue is the allocation of benefits between savers and borrowers. Additionally, credit unions can add unrelated groups to their membership. If the orientation of unrelated groups differs from the core group, the allocation of benefits could be altered. Empirical evidence suggests that both single and multiple bond federal credit unions are saver oriented. Single bond credit unions have a stronger saver orientation than multiple bond credit unions. The study provides mixed evidence on the existence of a clientele effect.     

Financial innovation and bank behavior: Evidence from credit markets

This paper investigates whether, and through which channel, the active use of credit derivatives changes bank behavior in the credit market, and how this channel was affected by the crisis of 2007–2009. Our principal finding is that banks with larger gross positions in credit derivatives charge significantly lower corporate loan spreads, while banks׳ net positions are not consistently related to loan pricing. We argue that this is consistent with banks passing on risk management benefits to corporate borrowers but not with alternative channels through which credit derivative use may affect loan pricing. We also find that the magnitude of the risk management effect remained unchanged during the crisis period of 2007–2009. In addition, banks with larger gross positions in credit derivatives cut their lending by less than other banks during the crisis and have consistently lower loan charge-offs. In sum, our study is suggestive of significant risk management benefits from financial innovations that persist under adverse conditions – that is, when they matter most.     

Payment changes and default risk: The impact of refinancing on expected credit losses

This paper analyzes how access to credit and the path of mortgage rates can affect borrower credit risk. This is a crucial issue for evaluating refinance programs as a form of loss mitigation, and it became prominent in the debates around the Treasury Department's Home Affordable Refinance Program (HARP). These debates exposed gaps in the literature on the relationship between credit performance and changes in borrowers’ monthly mortgage payments. Since then, several new studies have attempted to fill these holes, each pursing a different methodology. In this paper, we review the relevant debates and look at what downward adjustments in prime adjustable-rate mortgages can tell us about modifications of prime fixed-rate mortgages. We argue that this method better addresses the various sampling biases that plague all attempts to predict HARP's impact. Our analysis indicates that typical monthly payment reductions under HARP would reduce credit losses by 56 basis points.     

Evidence on the effect of credit counseling on mortgage loan default by low-income households

Research on the effectiveness of credit counseling is surprisingly scarce given its widespread use and given that it has been around for at least three decades. This paper studies the effects of counseling on default by adopting an option-based approach to mortgage termination. Data come from a counseling program developed as result of the collaborative efforts of a large Midwest bank, Community Churches, and a local community development company implemented during the 1992–1996 period. We find some evidence that counseled borrowers defaulted less often than non-counseled borrowers and that counseling affects optimal exercise of the default option.     

Intangibles and credit decisions: results from an experiment

The question in this paper is whether the inclusion of intangibles is meaningful in a credit decision context. To examine this issue we conducted an experiment with forty loan officers. The loan officers were presented with a situation of a company that required a credit of 5 million Swedish kronor. Half of the loan officers were given a traditional annual statement in which intangibles were treated as costs while the other half received a balance sheet in which brand, R&D and education were capitalized. The loan officers were asked to give their opinion regarding the credit decision and the importance of extra information. They were also confronted with four short cases where extra information about the company appeared. Statistical analysis revealed that none of three hypotheses relating to the statement that ‘accounting for intangibles does not matter’ could be falsified. Still, the acquired qualitative data that emerged from the study makes it possible to suggest another finding. The study shows that accounting for intangibles is accepted if the accounts were seen as reliable. The conclusion is that if it is possible to create reliable data about intangibles, accounting for intangibles is meaningful for credit decisions.     

FDI and credit constraints: Firm-level evidence from China

In this paper, we assess the success of the ongoing financial system reforms in China by investigating the extent to which firms are financially constrained. We focus on the role played by Foreign Direct Investment (FDI) in funding the Chinese corporate sector, and analyze whether incoming foreign investment in China plays an important role in alleviating domestic firms’ credit constraints. Using firm-level data on 1300 domestic companies over the period 2000–2002, we confirm that the development of cross-border relationships with foreign firms helps private domestic firms to bypass both the financial and legal obstacles that they face at home.     

High-frequency credit spread information and macroeconomic forecast revision

We examine whether professional forecasters incorporate high-frequency information about credit conditions when revising their economic forecasts. Using a mixed data sampling regression approach, we find that daily credit spreads have significant predictive ability for monthly forecast revisions of output growth, at both the aggregate and individual forecast levels. The relationships are shown to be notably strong during ‘bad’ economic conditions, which suggests that forecasters anticipate more pronounced effects of credit tightening during economic downturns, indicating an amplification effect of financial developments on macroeconomic aggregates. The forecasts do not incorporate all financial information received in equal measures, implying the presence of information rigidities in the incorporation of credit spread information.     

The impact of political connections on government bailout: the 2008 credit crunch in the United States

Why is there so little money in contributions to political action committees (PAC) in United States’ politics? While there may be several explanations for this puzzle, we consider corporate PAC contributions as an insurance-like instrument that induces firms’ expectations of safeguard at times of grave need, with the 2008 credit crunch as a case in point. Given the unlikely occurrence of a credit crunch, few financial firms invest in PAC contributions. However, we find firms that make PAC contributions may gain ex ante benefits of corporate PACs as protection from financial distress by undertaking profitable but risky projects that later become illiquid assets while requiring the bailout money during the 2008 credit crunch. We also find that both consistent PAC investments over election cycles and subsequent lobbying activity to corporate PACs further allow firms to utilize their political ties as safeguard and demand additional bailout money. Our instrumental variable analysis confirms that firms with prior experience in political investments are found to enhance the likelihood and effectiveness of PAC contributions and related political investments.     

我国银行信用缺失的机理分析及防范对策

文中针对我国银行普遍存在的信用缺失问题，从信息不对称、制度不完善两个方面分析了银行信用缺失的机理，并针对此机理，提出了完善银行信用体系建设的对策建议。     

On credit and output: Is the supply of credit relevant?

The consensus that changes in the supply of credit were irrelevant to making monetary policy decisions existed among macroeconomists during the second half of the twentieth century. Transmission of shocks to the real economy through changes in the supply of credit, however, played an important role in the recent U.S. financial crisis. This paper explores the extent to which policymakers should consider changes in the supply of credit when making forecasts and monetary policy decisions. More specifically, it considers whether a measure of real credit balances offers consistent and stable information, beyond that of a real interest rate and real money balances, about future output gaps during the U.S. post-war era. Results yield evidence that changes in real credit balances are the only variable, among those considered, to provide consistent and stable information about future output gaps over the entire sample period. Each information variable, however, provides relatively little value added for forecasting future output gaps, beyond a simple autoregressive model. To improve upon forecasts and monetary policy decisions, policymakers therefore should consider a broader range of information variables and occasionally reassess the relative weightings assigned to each.     

Trade credit financing and stock price crash risk

This study investigates the association between trade credit financing and stock price crash risk within China's context. We find that firms using more trade credit financing have significantly lower future stock price crash risk. This negative association is more pronounced for firms with greater information asymmetry and for firms located in less developed financial markets. This finding is robust to the endogeneity concern, alternative measures of stock price crash risk, and the inclusion of other factors identified in prior studies that might affect stock price crash risk. Further evidence suggests that both the monitoring mechanism and the disclosure mechanism drive the documented relation. Our study suggests that access to trade credit can significantly reduce the likelihood of crash risk in a country like China with less developed formal bank financing. Our study also suggests that investors can effectively avoid stock price crash risk by using the trade credit information disclosed in financial statements.     

Firm–bank credit network,business cycle and macroprudential policy

We present an agent-based model to study firm–bank credit market interactions in different phases of the business cycle. The business cycle is exogenously set, and it can give rise to various scenarios. Compared to other models in this literature strand, we improve the mechanism according to which the dividends are distributed, including the possibility of stock repurchase by firms. In addition, we locate firms and banks over a space and firms may ask credit to many banks, resulting in a complex spatial network. The model reproduces a long list of stylized facts and their dynamic evolution as described by the cross-correlations among model variables. The model allows us to test the effectiveness of rules designed by the current financial regulation, such as the Basel III countercyclical capital buffer. We find that the effectiveness of this rule changes in different business cycle environments and this should be considered by policy makers.

     

论信用信息基础建设项目成本风险的分担

本文认为,信息基础建设是我国信用体系建设的关键性基础性工作。现阶段,信用信息基础项目建设,应由政府和从社会引入项目主办方共同投资,此种项目投资建设,也会面临影响项目成本进而影响项目收益的风险,这些风险应该在政府与项目主办方之间按比例分担,本文给出了项目成本风险分担比例的计算方法。