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.

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.

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.

Valuation of Credit Default Swap with Counterparty Default Risk by Structural Model

This paper provides a methodology for valuing a credit default swap (CDS) with considering a counterparty default risk. Using a structural framework, we study the correlation of the reference entity and the counterparty through the joint distribution of them. The default event discussed in our model is associated to whether the minimum value of the companies in stochastic processes has reached their thresholds (default barriers). The joint probability of minimums of correlated Brownian motions solves the backward Kolmogorov equation, which is a two dimensional partial differential equation. A closed pricing formula is obtained. Numerical methodology, parameter analysis and calculation examples are implemented.

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.

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.

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.

Analysis on Risk Prevention Mechanism for Farmers' Default in Small Amount Credit

Through analysis, it is believed that major reasons for default risks in operation of small amount credit include low management level and vacancy of normative system, vacancy of risk sharing mechanism, rating distortion due to imperfect credit investigation system, and uncertainty of borrower's credit. On the basis of these, static and dynamic models are established to analyze the prevention mechanism for default risk in small amount credit. It is concluded that we must establish a restriction mechanism during operation of small amount credit as long as three values increase, namely, N (potential loss of bad credit record due to farmers' default), Q (probability of successful recovery by small amount credit institution), and S (cost of small amount credit institution punishing farmers after successful recovery). Finally, following countermeasures and suggestions are put forward: perfect laws and regulations and credit reward and punishment mechanism for risk management of small amount credit; bring into play proper function of loan officer in small amount credit practice; widely promote rural "Group Credit Union" system.

企业资源配置战略与债券信用评级

企业战略作为企业全局性、长期性资源配置的重要规划,对企业经营活动具有重要影响,也必然会影响企业的融资行为。本文从企业战略视角出发,以2008—2020年中国A股上市公司为研究对象,运用固定效应模型探究了企业资源配置战略对债券信用评级的影响。研究发现:相对于经营主导型企业,投资主导型企业的债券信用评级更低,并且该结论在处理内生性问题和进行一系列稳健性检验后依然成立。异质性分析发现,企业资源配置战略对债券信用评级的影响在非国有企业和分析师跟踪人数多的企业中更明显。中介效应检验结果表明,企业资源配置战略通过作用于企业违约风险而影响债券信用评级。本文的研究结论对发债企业、信用评级机构和债券市场投资者具有重要启示意义。

金融科技能够抑制企业过度负债吗?

本文以2011—2021年中国上市公司为研究样本,采用北京大学数字普惠金融指数度量金融科技发展水平,实证检验金融科技对企业过度负债的影响。研究结果表明,金融科技能够助力银行等金融机构提升事前的信息甄别能力和加强事后的债权人监督功能,继而抑制企业过度负债行为。进一步的研究显示,金融科技对企业过度负债行为的抑制作用在国有企业和产品市场竞争程度低的行业企业中更加显著,并且金融科技能够通过抑制过度负债而降低企业债务违约风险。本文不仅在理论上丰富了金融科技影响效应和企业过度负债缓解机制的文献,而且在实践上为利用金融技术进步推动微观企业优化资本结构,助力实体经济高质量发展提供了依据。

货币政策不确定性与企业债务成本

降低企业债务融资成本是促进实体经济高质量发展的重要举措。选取2007—2020年A股非金融上市公司数据,系统考察货币政策不确定性对企业债务成本的影响。研究结果表明,货币政策不确定性与企业债务成本显著正相关。影响机制分析发现,债务违约概率是货币政策不确定性影响企业债务成本的中间变量,即货币政策不确定性上升会增加企业债务违约概率,从而导致企业债务成本上升。异质性分析发现,货币政策不确定性对非国有企业、小规模企业及非周期性行业企业债务成本的正向影响更加明显。研究表明降低货币政策不确定性对于缓解企业债务成本压力具有重要作用。

自愿披露客户信息影响了债券违约风险吗?

以2010—2021年沪深A股上市公司发行的公司债为样本,实证检验了自愿披露客户信息对债券违约风险的影响。研究发现,自愿披露客户信息产生的额外风险加剧了债券违约风险,这种影响在高专有成本和高融资约束的企业中表现更为显著,但企业发行的绿色债券并未受到影响。机制检验表明,经营风险增加和机构投资者持股降低是自愿披露客户信息影响债券违约风险的重要途径。研究表明,企业需要慎重考虑披露客户信息带来的风险,审慎制定信息披露策略。

集团内部权力配置与企业债务违约风险——基于权力细分视角

文章以2007-2021年我国A股上市集团企业为研究对象,基于权力细分视角,分析财权、经营权及人事权配置对企业债务违约风险的影响。实证结果表明,集团内部财权、经营权集中配置及人事权分散配置通过内部资本市场资源配置和发挥治理效应能够降低企业的债务违约风险。进一步研究发现,财权集中与人事权分散配置、经营权集中与人事权分散配置、财权和经营权集中与人事权分散配置协同,能够降低企业债务违约风险。价值效应考察发现,财权、经营权集中配置及人事权分散配置对企业债务违约风险的抑制效应能够提升企业价值。集团化企业应重视并探索权力集中配置的治理优势,优化组织结构,进而提升企业价值。

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.

国有资本参股对民营企业债务违约风险的影响

企业债务违约风险已成为我国金融领域的重大风险之一,如何有效防控企业债务违约风险是打好防范化解重大金融风险攻坚战的重要内容。本文基于混合所有制改革视角,立足于民营企业,以2007—2021年沪深A股上市民营企业为样本,探究国有资本参股能否降低民营企业债务违约风险及其作用机制。研究发现,国有资本参股能够显著降低民营企业的债务违约风险。机制检验结果发现,国有资本在民营企业中能够发挥资源支持效应和监督治理效应,通过缓解融资约束问题,改善短贷长投策略和抑制民营资本无序多元化扩张,进而降低企业债务违约风险。进一步检验发现,与其他企业相比,国有资本参股对民营企业债务违约风险的抑制作用在中小民营企业和位于亲清政商关系更好地区的民营企业中更显著。另外,当企业面临较高的经济政策不确定性时,国有资本参股对民营企业债务违约风险的抑制作用也更为明显。研究结论不仅对国有资本参股和民营企业债务违约的相关文献形成有益补充,而且对进一步深化混合所有制改革和守住不发生系统性重大金融风险提供决策依据和启示。