Adverse selection,loan access and default behavior in the Chilean consumer debt market

Why do households use different types of loans?Which factors cause borrowers to default?Using a comprehensive survey dataset from Chile,I estimate a partial information model of consumer debt access,lender choice,loan amount and default.The model consists of a first-stage multinomial logit that explains the choice across the five loan types,plus the options of no access to debt due to credit constraints and a no wish for consumer debt.In the second and third stages,the model assumes a log-linear regression of the debt amount and a logit regression of the default behavior,accounting for the loan type selection probability.Identification is obtained using factors measured at different time periods for the default and the loan type choices.I find that households choose different lenders based on income,education and labor risks.Higher income and education decrease the probability of credit constraints,while increasing bank lending and debt amounts.Unemployment risk and household size increase the chances of all the loan types;however,unemployment decreases the debt amount.Age and wage volatility reduce the probability of all loans.Default decreases with income,education and age,whereas it increases with indebtedness,unemployment,household size,health shocks,and paying previous loans.Counterfactual exercises demonstrate that pension reform,higher requirements for borrowers’capacities,and financial literacy programs could substantially reduce default risk.Financial literacy could greatly reduce arrears,households with credit constraints,the number of debtors and the aggregate debt amounts,especially for non-bank lending.Highlights Chilean borrowers present heterogeneous adverse selection across lender types.No Debt Access decreases with income,age,education,but it increases with risk.Default is associated with income,unemployment,indebtedness and demographics.Paying past loans and health needs are associated with indebtedness and default.Financial literacy programs may be a powerful policy to improve the debt market.

Supply-Side Structural Reform, Digital Economy and Corporate Default Risk

In recent years, a lot of corporate defaults have had an impact on the capital market. How to prevent corporate default risks has become an important topic of concern for the academic community, enterprises and the government. We took China’s A-share listed companies from 2012 to 2018 as a sample, and used the double difference method to analyze the impact of supply-side structural reforms on corporate default risks. We found that supply-side structural reforms have reduced the risk of corporate default, and the inhibitory effect has gradually increased. In the relationship between supply-side structural reforms and corporate default risks, corporate financing capabilities have played an intermediary role. Supply-side structural reforms can improve the company’s endogenous financing capabilities, thereby reducing the risk of corporate default. However, we also found that the mediating effect of a company’s exogenous financing capability is not significant. At the same time, the regression results show that the digital economy can play a regulatory role. It can not only actively regulate the relationship between supply-side structural reforms and corporate default risks, but also mediate the mediating effect of corporate endogenous financing capabilities. The results of this article provide some evidence for the synergy between supply-side structural reforms and the digital economy.

The Macroeconomic Impact of Internet Finance

This paper investigates the macroeconomic impacts of Internet finance,highlighting its advantages and challenges.Internet finance,a fusion of Internet technology with traditional financial practices,introduces innovative models for global asset management,capital financing,payments,investments,and intermediary services.While it enhances the accessibility and efficiency of financial services,it also introduces new risks,such as higher credit default rates.This study explores how Internet finance contributes to financial inclusivity and macroeconomic growth yet poses potential threats to traditional financial stability.The dual aspects of Internet finance are analyzed:its application in existing processes and its capacity to generate novel business models.Furthermore,the paper proposes strategic responses to mitigate the negative impacts of Internet finance,mainly focusing on risk management and regulatory improvements to safeguard economic stability.

COVID‑19 pandemic risk and probability of loan default:evidence from marketplace lending market

As the COVID-19 pandemic adversely affects the financial markets,a better understanding of the lending dynamics of a successful marketplace is necessary under the conditions of financial distress.Using the loan book database of Mintos(Latvia)and employing logit regression method,we provide evidence of the pandemic-induced exposure to default risk in the marketplace lending market.Our analysis indicates that the probability of default increases from 0.056 in the pre-pandemic period to 0.079 in the post-pandemic period.COVID-19 pandemic has a significant impact on default risk during May and June of 2020.We also find that the magnitude of the impact of COVID-19 risk is higher for borrowers with lower credit ratings and in countries with low levels of FinTech adoption.Our main findings are robust to sample selection bias allowing for a better understanding of and quantifying risks related to FinTech loans during the pandemic and periods of overall economic distress.

Determining threshold default risk criterion for trade credit granting

To solve the problem of setting threshold default risk criterion to select retailer eligible for trade credit granting, a novel method of solving simultaneous equations is proposed. This method is based on the bilevel programming modeling of trade credit decisions as an interaction between supplier and retailer. First, the bilevel programming is set up where the supplier decides on credit terms at the top level considering a retailer's default risk, and the retailer determines the order quantity at the lower level in response to the credit terms offered. By solving this bilevel programming, the relationship between the optimal terms and the corresponding default risk can be derived. Second, set the extreme scenario where the threshold default risk is approached as the point causing a zero marginal profit to the supplier. Another equation describing this particular scenario can also be derived. Thus, a system of two equations with two unknown variables can be obtained where the exact threshold default risk criterion can be found by solving them. A numerical example is presented as an illustration of the method proposed. It shows that the threshold criterion can be uniquely determined when the financial costs, inventory costs, and the marketing parameters of supplier and buyer are specified.

The Default Risk Management in Financial Institutions： Case of the Credit Risk in Lebanese MFIs

In Lebanon, as in some countries, the major financial institutions in the economy experienced by the country in the aftermath of independence were banks and insurance companies. However, the operation of these financial institutions obeys to some requirements that are not often likely to allow economic agents with low purchasing power to obtain the necessary funds to finance their production activities. Microfinance therefore comes in as the beginning of seeking effective market oriented solutions to the provision of substantial and effective financial resource for poor groups of people who do not have access to financial service from formal government and private financial institution. Microfinance Institutions （MFIs） are created for a social and sometimes non-profit objective. In Lebanon, many limitations hinder the development of MFIs including the lack of regulations, economic conditions, insecurity, political conflict, financial resources, and the risk of interest rates. Microfinance in Lebanon saw the light during the 1975-1990 Civil War through programs of charitable and community organizations, and really started to develop only in the second half of the 1990s. Capping interest rates may affect the access of poor people to financial services. The problem is that the granting of very small loans involves inevitably higher administrative costs than those offered by traditional bank loans. Therefore, MFIs that seek profitability should have higher interest rates than those charged by traditional banks. By providing money to poor people, how do MFIs in Lebanon reduce the credit risk？ This theme＇s treatment requires a qualitative analysis development. Indeed, after the selection of a representative sample, semi-structured interviews were done with the MFIs managers, and several researches done on this topic were analyzed. The data obtained from the above are treated by the triangulation of different data and the interviews analysis by the method of discourse content analysis. In addition, a literature review was done through scientific journals, books, newspapers, and websites.

Research on the Debt Default Risk of Guangyi Technology

In the process of production and operation,the funds held by enterprises often do not meet the needs of the expanding production scale,so enterprises usually obtain the required funds by borrowing.However,the financing mode of enterprises is not only limited to borrowing from banks or other financial institutions.With the rapid economic development and the continuous activity of the capital market,the bond market has gradually become an important channel for enterprise financing⑴,In order to improve the layout of the industrial chain,Guangyi Technology has carried out continuous mergers and acquisitions(M&A)since 2013.Due to its limited funds,Guangyi Technology acquired a large amount of funds required for M&A by means of equity pledge.However,the copyright cloud project invested in M&A in the early stage did not achieve the expected results,leading to a frequent breach of equity pledge,which evolved into debt defaults.Therefore,this article takes Guangyi Technology as the research subject and puts forward relevant avoidance suggestions through the evaluation of its debt default risk.

“一带一路”沿线国家债务违约风险的识别与防范

目前,中国对于"一带一路"沿线国家的基础设施投资项目呈现稳健上升趋势,有力地巩固了"一带一路"倡议框架下地缘合作的经济基础,但也因此遭遇了不断涌现的主权债务违约风险问题。通过构建"一带一路"沿线国家债务违约风险的评价体系,研究发现,人均GDP、经济增长的波动性、通货膨胀率和负债率是影响"一带一路"沿线国家债务违约风险的主要因素。评价结果显示,以色列、文莱、立陶宛、斯洛伐克和新加坡的债务违约风险最低,也门、乌克兰、吉尔吉斯斯坦、尼泊尔、不丹和摩尔多瓦的债务违约风险最高。因此,应制定差异化的投资战略、引入第三方市场合作机制、推进重大基础设施项目的分阶段开发等,以防范应对债务违约风险,进一步增强债务投资项目可持续性。

The pricing of perpetual convertible bond with credit risk

Convertible bond gives holder the right to choose a conversion strategy to maximize the bond value, and issuer also has the right to minimize the bond value in order to maximize equity value. When there is default occurring, conversion and calling strategies are invalid. In the framework of reduced form model, we reduce the price of convertible bond to variational inequalities, and the coefficients of variational inequalities are unbounded at the original point. Then the existence and uniqueness of variational inequality are proven. Finally, we prove that the conversion area, the calling area and the holding area are connected subsets of the state space.

On pricing of corporate securities in the case of jump-diffusion

Structural models of credit risk are known to present vanishing spreads at very short maturities. This shortcoming, which is due to the diffusive behavior assumed for asset values, can be circumvented by considering discontinuities of the jump type in their evolution over time. In this paper, we extend the pricing model for corporate bond and determine the default probability in jump-diffusion model to address this issue. To make the problem clearly, we first investigate the case that the firm value follows a geometric Brownian motion under similar assumptions to those in Black and Scholes（1973）, Briys and de Varenne（1997）, i.e, the default barrier is KD （t, T） and the recovery rate is （1 -w）, where D （t, T） is the price of zero coupon default free bond and w is a constant （0 〈 w 〈 1）. By changing the numeraire, we obtain the closed-form solution for both the price of bond and default probability. Further, we consider the case of jump-diffusion and suppose that a firm will go bankruptcy if its value Vt 〈 KD （t, T） and at the same time, the bondholder will receive （1 - w） vt/k By introducing the Green function of PDE with absorbing boundary and converting the problem to an II-type Volterra integral equation, we get the closed-form expressions in series form for bond price and corresponding default probability. Numerical results are presented to show the impact of different parameters to credit spread of bond.

Dynamic Statistical Models for Corporate Failure Prediction in Italy

Different models have been proposed in corporate finance literature for predicting the risk of firm＇s bankruptcy and insolvency. In spite of the large amount of empirical findings, significant issues are still unsolved. In this paper, the authors developed dynamic statistical models for bankruptcy prediction of Italian firms in the industrial sector by using financial indicators. The model specification has been obtained via different variable selection techniques, and the predictive accuracy of the proposed default risk models has been evaluated at various horizons by means of different accuracy measures. The reached results give evidence that dynamic models have a better performance in any of the considered scenarios.

Contingent convertible lease modeling and credit risk management

The main objective of this study is to determine a lease agreement to finance an investment project and a solution for managing credit risk.This study investigates three types of contingent leases to reduce the costs associated with bankruptcy and compensate for the lessor’s position.A leasing defaultable contract allows the lessor to obtain the rent that will be recovered if the lessee defaults.A leasing convertible contract can be automatically converted into shares when certain default conditions related to the cash flows generated by the firm are met.These conditions are triggered by the ratio of the firm’s value and leasing payments.A Defaultable-Convertible-Leasing contract with a payback option grants the lessor the right but not the obligation to convert the remaining lease payments into stocks or to break up the contract and pick up the rented equipment when the firm reaches the default threshold.These contracts are motivated by contributing to the range of risk-management strategies by adding more flexibility to standard leasing contracts and contingent rents.Closed-form securities pricing solutions are set forward in a dynamic model for firms with existing assets and a growth option financed by shares and a contingent lease.Risk-neutral pricing theory and the backward induction method are used to determine the pricing of corporate securities.Numerical analysis shows that leasing convertible contracts and defaultable-convertible contracts with payback options impact the service value of the leased asset,maturity,and inefficiencies resulting from insolvency and asset substitution.An optimal conversion rate reduces inefficiencies,thus making the leasing convertible contract and defaultable-convertible-leasing contract with payback option a reliable solution to ensure business continuity and loss coverage of the leasers upon default.

The Role of Comprehensive Information Sharing in Credit Market： Theoretical Analysis and New Evidence from the European Union

This paper investigates the effect of the comprehensive information sharing on aggregate credit volume and the default ratio. Firstly, we utilize a three-stage game model developed by Dell＇Ariccia and Marquez （2006） to illustrate that the comprehensive information sharing would change the credit resource allocation and produce negative ＂composition effects＂ stated by Jappelli and Pagano （2005）. Then we use European Union （EU） data to test these theoretical implications. We find that when the information sharing system develops to a relatively high level, comprehensive information sharing improvements, for both the width and depth, are associated with the rise in macro credit access but also the aggregate default risk. We further find that the macro-consequences of variations in information sharing just differ in OECD and non-OECD group in EU countries. For OECD countries, the negative ＂composition effects＂ mainly arise from the increase in the width of information sharing while these effects are correlated with both the rise in depth and width indicators for non-OECD countries.

Top management turnover and firm default risk:Evidence from the Chinese securities market

China has moved rapidly from a socialist planned economy to a market economy.As a result,many enterprises in China are seeking talented top management to increase their performance and decrease their default risk.Studies abound regarding top management turnover and its relationship with firm performance,however,few studies have connected top management turnover with firm default risk.In China,a market with extensive financial fraud,firm default risk is an important factor and thus we explore this relationship in the Chinese securities market.Our results indicate that firms with higher default risk are more likely to change their top management in the next financial reporting period.In addition,following changes in top management,such firms default less than other companies.

Binomial Tree Pricing Model of Convertible Bond with Default Risk

In this paper we use a binomial tree to price convertible bond with default risk. A new way about pricing convertible bonds is proposed, which belongs to the deduced form approach. Firstly an inhomogeneous Possion process is used to describe default event and definition of default time. Secondly we combine the stock binomial tree with default intensity and obtain a new tree, then convertible bonds are priced according to the combined tree. It is worth pointing out that the model have following characters： simple, intuitive and having the strong ability to combine other items in convertible bonds＇ indenture.

A Markov Copula Model with Regime Switching and Its Application

Regime switching,which is described by a Markov chain,is introduced in a Markov copula model.We prove that the marginals（X,H^i）,i = 1,2,3 of the Markov copula model（X,H） are still Markov processes and have martingale property.In this proposed model,a pricing formula of credit default swap（CDS） with bilateral counterparty risk is derived.