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This chapter studies banks’ loan pricing behavior in mainland China during 2003–2013 by applying panel regressions to firm-level loan data and the estimated default likelihood for listed companies. The authors find that with the progress of market-oriented financial reforms, banks generally require compensation for their exposure to borrowers’ default risks. It is even more so if the borrower is a non-state-owned enterprise (non-SOE), mainly due to the pricing behavior of the Big Four banks. Bank lending rates are shown to be less sensitive to the default risks of state-owned enterprises (SOEs). Our results also reveal that banks priced in firm default risks before 2008 financial crisis, but not necessarily so after the crisis. As for industries, we find that after the 2008 Global Financial Crisis, the real estate sector and other government-supported industries tended to enjoy better terms on loan pricing in terms of default risks. We believe the main reason is that the government stimulus policies tilted toward those industries that have played crucial roles in China’s economic growth.

Purpose – The relation between research and development (R&D) expenditures and bondholder wealth is examined.

Methodology/approach – A sample of firms that increase R&D expenditures is partitioned into two subsamples: firms with high default risk versus firms with low default risk. For each subsample, we examine the effect of R&D increases on bond returns and default risks.

Findings – For firms with high default risk, R&D increases have a negative impact on bond returns and default risk. Further, there is a wealth transfer from bondholders to stockholders surrounding R&D increases. Neither of these results is found for firms with low default risk.

Research limitations/implications – The present study highlights the importance of assessing firm's existing default risk to understand the effects that R&D expenditures have on bondholders.

Social implications – The study reveals a potential social welfare and economic cost, as it reveals that stockholders may be able to gain wealth at the expense of bondholders.

Originality/value – The study provides important insights to bondholders on how firms’ investment policies, such as R&D expenditures, may affect their wealth.

The aim of this study is to analyze the influence mechanism of real estate enterprises' status on debt default risk and explore the heterogeneity effect of the characteristics of enterprises.

Against the background of the “three red lines” regulation of the financing of real estate enterprises and the COVID-19 pandemic, the authors select 123 real estate enterprises listed on China's Shanghai and Shenzhen A-shares markets from the first quarter of 2021 to the second quarter of 2022 as a research sample. The social network analysis method and Z-score financial risk early warning model are used to measure real estate enterprises' status and debt default risk. The authors construct a panel regression model to analyze how the status of real estate enterprises influences their debt default risk.

The results show that the status of real estate enterprises negatively and significantly affects their debt default risk. Economic policy uncertainty and financing constraints play negative moderating and mediating roles, respectively. Further research has found that the effect of real estate enterprises' status on debt default risk is characterized by heterogeneity in equity characteristics, i.e. it is significant in the sample of nonstate-owned enterprises but not in the sample of state-owned enterprises.

It is helpful for real estate enterprises to attach importance to the value of social networks, and the authors provide policy suggestions for real estate enterprises to constantly improve their risk management systems.

Using economic policy uncertainty as the moderating variable and financing constraints as the mediating variable, the authors analyze how the status of real estate enterprises influences debt default risk, which contributes to a better understanding of the formation of the debt default risk of real estate enterprises.

The purpose of this paper is to examine the effect of female CEO board members on listed family firms’ corporate default risk, integrating upper echelons theory with social role theory and the socio-emotional wealth approach and proxying default risk with the Black–Scholes–Merton model. It also searches for possible differences attributable to the type of female CEO.

This study is applied to a longitudinal sample of listed US family firms. After a preliminary analysis of the main descriptive, several models are estimated with the system GMM estimator, which is a panel data estimator. The models are dynamic, including the lagged value of the dependent variable. In addition, the model estimation is repeated with a different measure of default risk, for robustness.

This research findings show that default risk diminishes in the presence of a female CEO, whose reduction is even greater if she is a family member. The results are proven to be robust to the measure for proxying default risk.

This study primarily contributes to the existing literature by exploring a possible link between female CEOs, particularly those with a family affiliation, and a lower level of default risk in family firms. It also provides practical implications for policymakers, who would be advised to promote conditions enabling women to contribute towards family business viability. In addition, this study offers encouragement for family business owners to value the potential of their female family members in company succession processes.

This paper examines whether board structure affects microfinance institutions' (MFIs) default risk in sub-Saharan Africa (SSA).

The paper uses a pooled OLS and system generalized method of moments (GMM) model on unbalanced panel data from 214 MFIs in 26 SSA countries over 2005–2016 period. Default risk is measured using non-performing loans (loans overdue 30 and 90 days) and loans written-off ratios. Board size, proportion of independent and female directors are used as proxies for board structure.

The empirical results indicate that unregulated MFIs with larger and more independent boards tend to have a lower default risk. In addition, unregulated MFIs with a female director tend to lower default risk.

This research mainly focusses on SSA. Future research may consider a broader geographical area.

Poor loan portfolio quality is one of the major problems of MFIs operating in SSA. The findings of this study will contribute in emphasizing the role of an effective board structure in lowering MFI default risk.

This study is unique in terms of investigating whether board structure impacts default risk based on MFI regulation.

The purpose of this paper is to estimate the effectiveness of the credit evaluation system using the borrowing data from China’s leading P2P lending platform, Renrendai.com.

The current credit valuation systems are classified into the forward-looking mechanism, which judges the borrowers’ credit levels based on their uploaded information, and the backward-looking mechanism, which judges the borrowers’ credit levels based on their historical repayment performance. Probit models and Tobit models are used to examine the effectiveness of credit evaluation mechanisms.

The results show that only the “hard” information reflecting borrowers’ credit ability can explain the default risk on the platform under the forward-looking credit evaluation mechanism. The backward-looking credit evaluation mechanism (BCEM) based on the repeated borrowings produces both promise-enhancing and “fishing” incentives and thus fails to explain the default risk, and weakens the effectiveness of forward-looking credit indicators in explaining the default risk because it encourages borrowers to invest in forging forward-looking credit indicators. Additional information such as the interest rate and the repayment periods reveals borrowers’ credit and thus can also be used as a predictor of borrowers’ default risk.

The findings suggest that current ex ante screening based on the information collected from the borrowers or repeated borrowings is inadequate to control the default risk in P2P lending markets and thus needs be improved. Ex post monitoring and sharing on defaulter’s information should be strengthened to increase the default cost and thus to deter potential bad borrowers.

To the authors’ knowledge, this is the first paper classifying the credit evaluation system in online P2P lending market into the forward-looking type and the backward-looking type, which is important since they provide different incentives to borrowers. The paper also investigates and provides evidence on the promise-enhancing and “fishing” incentives of BCEMs.

The main purpose of this study is to evaluate the probability of default and examine the relationship between default risk and financial performance, with dynamic panel moderation of firm size.

This study utilizes a total of 1,500 firm-year observations from 2013 to 2018 using dynamic panel data approach of generalized method of moments to test the relationship between default risk and financial performance with the moderation effect of the firm size.

This study establishes the findings that default risk significantly impacts the financial performance. The relationship between distance-to-default (DD) and financial performance is positive, which means the relationship of the independent and dependent variable is inverse. Moreover, this study finds that the firm size is a significant positive moderator between DD and financial performance.

This study provides new and useful insight into the literature on the relationship between default risk and financial performance. The results of this study provide investors and businesses related to nonfinancial firms in the Pakistan Stock Exchange (PSX) with significant default risk's impact on performance. This study finds, on average, the default probability in KSE ALL indexed companies is 6.12%.

The evidence of the default risk and financial performance on samples of nonfinancial firms has been minimal; mainly, it has been limited to the banking sector. Moreover, the existing studies have only catered the direct effect of only. This study fills that gap and evaluates this relationship in nonfinancial firms. This study also helps in the evaluation of Merton model's performance in the nonfinancial firms.

The purpose of this study is to examine the relationship between corporate social responsibility (CSR) and the default risk level of firms operating in the Eurozone and how CSR can provide insurance-like protection during financial/economic downturns.

Based on prior empirical studies and by integrating the insights of different theories, this study proposes a framework linking CSR, firm default risk and corporate financial performance to explain firms' social behavior that can trigger default risk determinants (e.g. cost of capital, leverage, sales level) directly or indirectly. The authors use a panel regression approach.

The results support the mitigating effect of CSR on firm default risk. This effect is higher during a financial crisis, suggesting that CSR could provide insurance-like protection during economic downturns. These results hold even after using an alternative risk measure. Granger causality test results strongly suggest that reverse causality is not a concern. An instrumental variable approach is proposed to deal with potential endogeneity issues.

While other studies examine the CSR–firm default risk relationship in US samples, this study focuses on the Eurozone. The novelty of this work is based on its sample and how financial crises are addressed within this relationship. Insurance-like protection concerns both negative announcements and periods (e.g. financial crises, recessions). The study's results are useful for investors and risk managers who intend to manage default risk in their portfolios or firms.

This study aims to systematically review the literature in the fields of liquidity, informational efficiency and default risk. The authors outline the key research streams and provide possible pathways for future research.

The study adopts bibliographic mapping to identify the most influential studies in the research fields of liquidity, informational efficiency and default risk from 1984 to 2021.

The study identifies four key research themes that include efficiency and transparency of markets; corporate yield spreads; market interactions: bonds, stocks and cryptocurrencies; and corporate governance. By assessing publications published from 2018 to 2021, the authors also document seven key emerging research trends: cross markets, managerial learning and corporate governance, state ownership and government subsidies, international evidence, machine learning (FinTech approaches), environmental themes and financial crisis. Drawing on these emerging trends, the authors highlight the opportunities for future research.

Keyword searches have limitations since some studies might be overlooked if they do not match the specified search criteria, even though their relevance to the topic is under investigation. Adopt the R project to expand this review by incorporating more literature from other databases, such as the Scopus database could be a possible solution.

The four key research streams contribute to a comprehensive understanding of liquidity, informational efficiency and default risk. The emerging trends integrate existing knowledge and leave the chance for innovative research to expand the research frontier.

This study fulfills the systematic literature review streams in the fields of liquidity, informational efficiency and default risk, and provides fruitful opportunities for future research.

This study aims to provide additional insights by further investigating the governance aspects including board composition, risk monitoring and management by the board, ownership structures as well as the incentive compensation.

This study investigates the relationships between corporate governance, risk-taking behaviors and default risk by analyzing 78 publicly listed Japanese regional banks during the 2007-2008 crisis period.

Banks that were more diversified in the run-up to the crisis were associated with higher default risk during the crisis. Foreign shareholders may have prompted banks to engage in higher risk-taking activities in pursuit of higher returns, putting banks at a higher risk of default. On the other hand, board-level risk management committees may have mitigated the risks to protect firms from rising default. Finally, banks perceived to have better quality accounting information, by being audited by one of the Big 4 auditors, benefitted by mitigating price misevaluation and thus reducing default risk during the crisis.

Different from the majority of previous related studies on the relationship between governance and performance of stock returns, the current study focuses on the relationship between governance and default risk during the crisis which has a more direct link through which governance practices can affect risk-taking behaviors and thus the default risk during the crisis. In addition to examining conventional governance aspects, this study also focuses on the more relevant aspects of banks’ risk monitoring functions.