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The purpose of this paper is to explore the role of three different audit characteristics in loan pricing—the most significant credit term for borrowers. Three characteristics include audit reputation, audit tenure and audit specialization.

To examine audit characteristics simultaneously to measure their effect on loan pricing, this study uses a full-rank, three-way interaction model and conducts slope difference tests. It also includes the joint effects of these variables to estimate any incremental benefits of possessing multiple qualifications.

When studying the three qualifications together, none of them alone is strong enough to affect the loan interest. But, a Big 4 auditor with tenure can benefit the client by reducing the interest by about 1.98%. The more expertise the auditor has, the better value it brings to borrowers. A highly qualified auditor with additional expertise can significantly reduce loan pricing further by about 2.96 percent.

Examining the costs and benefits of hiring certified auditors is crucial for borrowers. While the variables are not exhaustive, an understanding of the added value of hiring high-quality auditors with more than one or two qualifications to their potential premium fees helps borrowers in managers' audit selection decisions. At the same time, the results shed some light on which of the auditor's qualifications lenders might prioritize when pricing a borrower's loan.

This paper aims to examine the relationship between executive pay disparity and the cost of debt.

The authors use a sample of syndicated bank loans granted to United States (US) listed firms from 1992 to 2014 and adopt the loan yield spread (Chief Executive Officer (CEO) pay slice) as the main proxy for the cost of debt (executive pay disparity). The authors also use the Heckman two-stage model to address the sample selection bias and the two-stage least squares and propensity score matching methods to control the potential endogeneity issues. To test different views about executive pay disparity, the authors adopt the cash-to-stock ratio to proxy for managerial risk-shifting incentives.

The authors find that the cost of debt is significantly higher for firms with larger executive pay disparity, which is robust to sample selection bias, endogeneity concerns, alternative measures and various controls. This positive relationship increases with the risk-shifting incentives of CEOs instead of other top executives, which supports the managerial power view, and is stronger for firms with higher levels of financial distress. The findings suggest that creditors view executive pay disparity are associated with higher credit risk and CEO entrenchment.

This paper reveals one “dark” side of executive pay disparity: it increases the cost of debt and identifies a significant role played by CEOs' risk-shifting incentives. The authors provide direct evidence of the relevance of pay differential to corporate credit analysis.

The author examines the presence of foreign currency effects and the risk-mitigation channel through which a foreign-currency denomination reduces the loan spread.

The author runs regression analyses using loan data of firms incorporated in member countries of the Association of Southeast Asian Nations (ASEAN) from 2000 to 2020. The author also runs several robustness tests to address forward exchange rate bias, endogeneity concern and sample-selection bias.

Consistent with the currency matching motive of foreign debt use, the results show that a foreign currency denomination is associated with a lower spread and the relationship is amplified when there is a positive correlation between the changes in the return on assets and in the exchange rate.

This paper enriches existing studies on the use of foreign debt as an exchange rate risk management tool.

The results suggest that as firms utilize foreign debt and policymakers need to design banking regulations that not only oversee but also encourage the use of foreign debt as a hedging instrument to lower firms' borrowing costs.

This paper contributes to extant studies by examining the presence of foreign currency effects in emerging countries' loan markets and by exploiting the micro-level demand-side factors as the channel through which the currency denomination affects the loan spread.

This study analyzes whether industry relatedness between a corporate borrower and its group peers significantly affects that firm's borrowing cost.

A regression analysis is run on bank-loan data of a sample of Indonesian companies for 2010–2020. The main variables of interest are the natural logarithms of the borrowing firm's number of affiliates classified within either similar 2- or 4-digit GICS industries, and the Caves weighted index of these firms' related diversification. This index measures how firms in a group are diversified in relation to the borrower. The dependent variable is the all-in credit spread, stated in basis points, over the LIBOR or similar benchmark, as of the loan issuance date.

Findings support the industry-relatedness hypothesis and contradict the risk-reduction hypothesis and show that banks charge lower loan spreads on a borrowing firm that either operates within a similar industry as its affiliate or diversifies into related sectors or industries. Consistent with the co-insurance-effect hypothesis, the results also underline the importance of the parent and first-layer firms as supporting instead of the tunneling vehicles within business groups. These conclusions hold even after segregating the sample and using the loan maturity as the dependent variable.

This study uses a unique diversification measurement based on the borrowing firm's sector or industry, relative to other group members, and offers new insights on business group diversification and bank loan costs.

This paper aims to review the literature extensively by analysing recent work and providing a guide for models, data sets and research findings.

This paper reviews the literature extensively by analysing recent work and providing a guide for models, data sets and research findings within the context of capital market imperfections. The authors further break down the literature into closer-in-nature categories for reader’s convenience and comprehension. Finally, the authors address gaps in the existing literature and propose government policies that can tone down the potential effect of credit rationing on employment.

This paper provides a map of the literature so as to help future researchers in the relevant literature and give a short insight of what has been explored so far.

This paper is original and is the result of a thorough review of an extensive literature.

Considering the importance of environmental lawsuits in the capital market specifically and society more generally, the authors examine whether environmental lawsuits are related to the cost of bank loans for the first time.

This study uses a US sample of 7,684 loans from 1,409 individual borrowing firms over the 1995–2015 period. The hypothesis is tested using lagged data from the year before the start of a bank loan, and firm fixed effects panel regression analysis is applied to control for correlated omitted variable bias. To further address endogeneity concerns, the authors use a difference in differences analysis that exploits the Deepwater Horizon oil spill on April 20, 2010, to establish causality. Finally, the authors use the entropy balancing method as an additional endogeneity check.

The authors find a positive relationship between environmental lawsuits and firms' bank loan costs. The results are economically significant. In particular, a one standard deviation increase in environmental lawsuits is related to a 2.07 basis point increase in bank loan costs. The results are robust to various endogeneity checks. Cross-sectional analyses indicate that a poor information environment, weak corporate governance, and low corporate social responsibility (CSR) levels strengthen the positive relationship between environmental lawsuits and bank loan costs. Finally, additional analyses show that environmental lawsuits are significantly negatively related to the loan amount and maturity contract provisions.

The authors provide new empirical evidence that increasing understanding of the economic consequences of environmental lawsuits on bank loan costs.

Efforts to combat corruption in society often seem to resemble a game of whack-a-mole. When dealt with in one sector of the society, it pops up in another, and while that is being dealt with, it again raises its ugly head in the place where it had appeared to be suppressed. This paper aims to present a model of how corruption spreads based on an alternative view of its main components.

Key elements of the model are analyzed by applying them to particular examples of systemic ethical failures using a variety of mini cases across a number of policy areas.

Corruption is based on conformity rather than rule breaking. Furthermore, personal or corporate gains are not sufficient as causes of ethically problematic actions. More fundamentally, survival of the organizational enterprise is the driving force in spreading corrupt behavior.

This paper concludes with a discussion of the model’s efficacy for formulating legislative solutions for ethical lapses in a particular policy area. Again, a mini cases study is used to illustrate the main points of the argument.

Viewing systemic ethical failures through this alternative lens may well result in more effective ways to combat the spread of corrupt practices.

This study empirically investigates the relationship between goodwill assets and capital structure (i.e. debt ratio) of firms and the moderating effect of financial market development on the relationship between goodwill assets and capital structure.

This research applied a quantitative method. The article collects large samples of listed firms from 23 developing and nine developed countries and applied the panel data techniques. This research used firm-level data from the DataStream database for both developed and developing countries. The study uses 4,912 firm-level data from 23 developing countries and 4,303 firm-level data from nine developed countries.

The findings reveal a significant positive relationship between goodwill assets and capital structure in developing countries, but goodwill assets have a significant negative relationship with capital structure in developed countries. Moreover, financial market development positively moderates the relationship between goodwill assets and the capital structure of firms in developing countries. The results inform firm managers that goodwill assets serve as additional collateral to secure debt financing. Moreover, policymakers should formulate a debt market policy that recognizes goodwill assets as additional collateral for the purpose of obtaining debt capital.

The study has several implications. First, goodwill assets are identified as a factor of capital structure in this study. Fixed assets have been identified as one of the drivers of capital structure in previous research, although goodwill assets are seldom included. Second, this article shows that along with demand-side determinants, supply-side determinants also play an important role in terms of the firms' choice about the capital structure. Therefore, firms should take both the demand-side and supply-side factors into consideration when sourcing for external financing (i.e. debt capital).

The study considered goodwill as a component of capital structure. The study analysis includes a large sample of enterprises, including 4,912 big firms from 23 developing countries and 4,303 large firms from nine industrialized or developed countries, which adds to the current capital structure information. Furthermore, a large sample size increases the results' robustness and generalizability.

Purpose: The main aim of this study is to explore the emergence and significance of blockchain technology in the financial system. This analysis examines the early stages of the adoption of blockchain technology.

Need of the study: To ascertain the viability of blockchain systems as a viable, fair, and traceable way of storing transaction records in Indian banking and financial services organisations.

Methodology: By virtue, this study is exploratory, following access to related studies on the implementation and applications of blockchain technology in the financial sector.

Findings: This study explores blockchain technology, its adoption, types, usefulness, benefits, challenges, and security concern in the banking sector.

Implications: This study will contribute to future research on applications of blockchain technology in the financial sector. It will help the researcher understand this technology’s importance and complications in the financial system.