Search Results (122)

Justice-oriented mathematics aims to support students’ understanding of the relationship between mathematical knowledge and political knowledge to examine how they conspire to shape reality. The notion of the formatting power of mathematics is helpful here in that it calls for an excavation of mathematics that makes explicit the actual use of mathematics hidden in social structures and routines. In this paper, the author examines how a mathematical unit on home mortgages was carried out to support 12th grade students’ understanding of the mathematics of mortgages, revealing the formatting power that mortgage lenders hold in reordering the reality of marginalized communities. Drawing on a qualitative analysis of student journals, student work, post-class student interviews, and teacher/researcher journals, the findings revealed two pedagogical features that contributed to students’ reading and writing the world with mathematics: engaging mathematics from multiple directions and attending to the formatting power of the mathematical and political knowledge dialectic. These findings offer pedagogical guidance for practitioners and teacher educators in curriculum design and implementation of critical mathematics. Full article

Sustainability performance is an important criterion for investors and lenders when making financing decisions. This study aims to analyze whether sustainability governance influences sustainability performance and the extent to which sustainability performance affects a company’s cost of debt. This study analyzed 209 publicly listed companies in Indonesia, Malaysia, Singapore, and Thailand. Sustainability governance was measured using two proxies from the Refinitiv Eikon database: (1) the existence of a sustainability committee and (2) the existence of sustainability assurance. Sustainability performance and the cost of debt were assessed using scores obtained from the same database. Quantitative analysis was performed using descriptive statistics, ANOVA, and structural equation modeling (SEM) with path analysis. The results showed that sustainability governance has a strong positive impact on sustainability performance. However, the results also show that higher sustainability performance leads to a higher cost of debt. This finding suggests that companies that integrate sustainability into their core business strategies face challenges in obtaining funding to support sustainability initiatives. This research implies that a well-developed sustainable ecosystem needs to be established before companies can realize a lower cost of debt. Full article

Credit relations in Muslim societies have attracted significant scholarly attention across disciplines due to the prohibition of interest. In the Ottoman Empire, renowned for its vast resources, the presence of sophisticated credit mechanisms alongside its strong Muslim identity has often been perceived as paradoxical. While this apparent contradiction has been extensively studied, the perception and legitimacy of these credit mechanisms within Islamic law, particularly in English-language scholarship, remains underexamined. This study addresses this gap by analyzing bayʿ al-wafāʾ, a significant financing mechanism in which asset ownership is temporarily transferred to a lender in exchange for a loan, with the understanding that the asset will be returned upon full repayment. This transaction, employed for centuries across diverse regions as an interest-avoiding solution, has been extensively debated within Hanafi jurisprudence. This research chronologically examines bayʿ al-wafāʾ’s integration into Hanafi legal thought from its emergence through the 18th-century Ottoman Empire, drawing on primary sources across various genres of Hanafi legal literature. The findings reveal that bayʿ al-wafāʾ could not be categorized within existing Islamic contract frameworks. Instead, it is recognized as a contract with unique provisions deriving legitimacy from custom and necessity. This study illuminates both how this transaction achieved legal and legitimate status within Hanafi jurisprudence and, more broadly, demonstrates the dynamic evolution of Islamic law within the Hanafi school from the 10th to 18th centuries. Through this analysis, this study demonstrates how the paradoxical challenge of providing interest-free financing was resolved within the framework of Islamic legal principles. Full article

This study reframes closure intention in small- and medium-sized enterprises (SMEs) as an ex ante diagnostic signal rather than a post-mortem symptom of failure. The survey evidence from 385 Ecuadorian SMEs was analyzed in two stages; confirmatory factor analysis validated the scales capturing environmental pessimism and personal pressures, and a structural equation model confirmed that both latent constructs directly heighten exit propensity. A binomial logistic regression model correctly classified 71% of the cases and explained 30% of variance. Five variables proved decisive: low-level liquidity (OR = 0.84), a high debt-to-equity ratio (1.41), weak profitability (0.14), negative environmental perceptions (1.72), and a shorter operating tenure (0.91); the sector and the firm size were non-significant. The combined CFA-SEM-logit sequence yields practical early warning thresholds—debt-to-equity ratio > 1.4, current ratio < 1.0, and ROA < 0.15—that lenders, advisers, and entrepreneurs can embed in dashboards or credit screens. Recognizing closure intention as a rational, strategic step challenges the stigma surrounding exit and links financial distress and the strategic exit theory. Policymakers can use the findings to pair debt relief and liquidity programs with cognitive bias training that helps owners interpret risk signals realistically. For scholars, the results highlight closure intention as a dynamic learning process, especially pertinent in emerging economies characterized by informality and institutional fragility. Full article

The recent debate on Environmental, Social, and Governance (ESG) factors has focused primarily on financial decision making and risk management from the perspectives of developed economies. However, in most developing countries, ESG risk models for mortgage lenders are very limited. In most of these countries, ESG-rating providers employ widely varying methodologies and disclosure policies, often resulting in divergent assessments of the same organization. This research develops a pilot statistical-analysis, dual-horizon ESG risk model specific to the Mexican mortgage industry, which provides a better understanding of how ESG risk could evolve over time across financial, operational, regulatory, and reputational dimensions in Mexico. This dual-horizon ESG framework considers a two-year short-term risk assessment and a ten-year long-term risk assessment. This research integrates expert opinions with a scoring system that improves on traditional methods. Dependability and internal consistency are tested using the Intraclass Correlation Coefficient (ICC) and Cronbach’s alpha. Radar chart visualization and cluster analysis are used to visualize the empirical results. The empirical findings show that environmental risk has strong temporal effects, and the perceived severity is 20% higher over the longer time horizon. Furthermore, social risk exhibits high variability, identifying it as a critical risk for financial stability and regulatory compliance. Cluster analysis identifies systematic patterns in expert opinions that determine two groups, making the qualitative findings derived from radar plots more robust. Group 0 (75% of experts) has an institutional view about ESG risks. Group 1 (25% of experts) aligns with an affiliation to large financial institutions. Finally, this research identifies three key sustainability challenges for the mortgage sector in Mexico: exposure to climate-induced stress, fragmented regulatory frameworks, and social inequality. Full article

This study investigates how managers choose between alternative earnings management mechanisms among syndicated loan borrowers. Specifically, it examines the trade-off between accrual-based earnings management (AEM) and real activities manipulation (RAM) during the period leading up to syndicated loan origination. The study also explores whether lender monitoring mechanisms influence subsequent earnings management behavior. The syndicated loan market, positioned between the private and public fixed income markets, offers a distinctive context for analyzing these strategic decisions. Using a propensity score-matched sample of syndicated and bilateral loans issued between 1989 and 2005, the study finds that firms obtaining syndicated loans are more likely to engage in earnings manipulation beforehand, relying more heavily on AEM than on RAM. Further analysis reveals that monitoring mechanisms—such as lender reputation, the number of syndicate members, loan size, and loan maturity—are significantly associated with future changes in AEM but show a weaker relationship with changes in RAM. Full article

This paper assesses whether fintech mortgage lenders align pricing with borrower risk using conforming 30-year mortgages (2012–2020). We estimate default probabilities using machine learning (logit, random forest, gradient boosting, LightGBM, XGBoost), finding that non-fintech lenders achieve the highest predictive accuracy (AUC = 0.860), followed closely by banks (0.857), with fintech lenders trailing (0.852). In pricing analysis, banks adjust the origination rates most sharply with borrower risk (7.20 basis points per percentage-point increase in default probability) compared to fintech (4.18 bp) and non-fintech lenders (5.43 bp). Fintechs underprice 32% of high-risk loans, highlighting limited incentive alignment under GSE securitization structures. Expanding the allowable alternative data and modest risk-retention policies could enhance fintechs’ analytical effectiveness in mortgage markets. Full article

This paper examines the characteristics of banks and their lending behavior in relation to Paycheck Protection Program (PPP) loans and commercial and industrial (C&I) loans to small businesses during the COVID-19 pandemic. Our findings show that lenders facing greater risk tended to lend more PPP loans, consistent with the risk-aversion theory. Specifically, banks with a higher loan–deposit ratio, lower overall profitability, poorer loan quality, and higher exposure to risks in business (C&I) loans are characterized by higher PPP loans. C&I loans to all businesses are negatively related to the loan–deposit ratio and loan loss allowance ratio, but are positively linked with the capital ratio. However, we find important differences in C&I lending to small businesses versus large businesses. Furthermore, there is evidence regarding the success of targeting PPP loans towards more productive sectors of the US economy. Using FDIC-defined banks’ lending specializations, we show that banks focused on international lending had a limited role in PPP lending. Full article

This article describes the Heritage Sustainability Index (HSI), a benchmarking tool that draws on a series of key indicators to rate company actions as they relate to the protection of cultural heritage. The purpose of the HSI is to provide an independent framework for lenders, borrowers, and civil society, including Indigenous Peoples, to evaluate corporate safeguard policies and practices related to cultural heritage, enabling informed decision making. Given their importance and influence, the HSI focuses on the practices of Global Systemically Important Banks (G-SIBs), which were chosen to represent a baseline for comparison across all industry sectors. The HSI’s indicators (n = 12) and sub-indicators (n = 48) were successful in illustrating the variability that exists among the G-SIBs. Corporations with an HSI value below the upper quartile of the distribution should take steps to enhance their cultural heritage safeguard practices. This is crucial because scores below this value reflect weak practices, indicating higher financial and reputational risk exposures and poor outcomes for cultural heritage. By focusing on improving their HSI values, these corporations can better mitigate potential risks and enhance their overall sustainability profile. The success and longevity of the HSI will depend on industry goodwill and the perceived risk that cultural heritage poses to corporate financial performance and reputation. Given the potential financial and reputational damage from a significant failure in cultural heritage stewardship, corporations are expected to recognize these advantages and find it an easy decision to support the adoption of the HSI. Full article

This study examines racial and ethnic disparities in mortgage-lending outcomes across different lender types—large banks, fintech lenders, non-bank lenders, small banks, and credit unions—using Home Mortgage Disclosure Act (HMDA) data from 2018 to 2023. By analyzing approval rates, rate spreads, and origination charges, we evaluate how borrower outcomes vary by race and ethnicity, controlling for loan characteristics, borrower attributes, and regional factors. Our findings reveal that Black and Hispanic borrowers consistently face less favorable terms than White borrowers, with disparities differing by lender type. Large banks, operating under stringent regulatory oversight, demonstrate relatively equitable pricing but impose higher loan denial rates on minorities. Credit unions, despite offering the lowest rate spreads overall, penalize minority borrowers more severely in pricing than other lender types. Fintech lenders, while charging higher-rate spreads and fees, show smaller credit access disparities for minority borrowers. Non-bank and small banks display mixed results, with inconsistencies in their treatment of minorities across pricing and credit access. These results highlight that neither technological innovations nor alternative lending models alone suffice to eliminate systemic inequities. Achieving equitable mortgage lending requires enhanced regulatory oversight, greater transparency in algorithmic decision-making, and stricter enforcement of fair lending practices. Full article

We use a quasi-exogenous shock to information asymmetry among shareholders to evaluate the effect of information asymmetry on corporate disclosure. In the post-Regulation Fair Disclosure (FD) period, the merger between a shareholder and a lender of the same firm provides a shock to the information asymmetry among equity investors, because Regulation FD applies to shareholders but not lenders. After the merger, the shareholder gains access to the firm-specific private information held by the lender, which produces an asymmetry in the information held by shareholders. We first provide evidence that information asymmetry among shareholders indeed increases after the shareholder–lender mergers. We then use a difference-in-differences research design to show that after shareholder–lender merger transactions, firms issue more quarterly forecasts (including earnings, sales, capital expenditure, earnings before interest, taxes, amortization (EBITDA), and gross margin), and the quarterly earnings forecasts are more precise. This study provides direct empirical evidence that information asymmetry among shareholders affects corporate disclosure. Firms can address increased information asymmetry by providing more disclosures, fostering a more equitable information environment. Additionally, policymakers might consider these results when evaluating the implications of Regulation FD, particularly in the context of mergers and acquisitions (M&A) of financial institutions where a shareholder gains access to private information held by a debt holder. Full article

This paper presents a competitive search model focusing on the impact of asymmetric information on credit markets. We show that limited entry by lenders results in endogenous credit rationing, which, in turn, plays a key role in managing adverse selection and prevents the credit market from collapsing. Full article

Education is considered an investment in human capital that is gained at the cost of knowledge acquisition. This cost is borne by the beneficiary along with subsidy provided by the government, if any, that is mainly collected through tax revenues. This article aims to systematically review the utility derived and the burden experienced with educational debt borrowers across the globe as per the three types of educational loan schemes present across the globe. This study follows the PRISMA guidelines for review selection, and 47 articles published between 1994 and 2024 were included for the final review. The study results reveal that education improves the quality of life; an educational debt servicing to income ratio above 8% is considered as a financial burden. Also, the results reveal that material benefits are high after education along with an increase in the psychological burden because of repayment concerns. This study highlights the need to move towards designing a flexible repayment system in the education loan scheme based on the income contingent schemes adopted in many countries. Income contingent schemes reduce the repayment burden of the borrowers but the return to the lender is limited to the income of the borrower, and mortgage-based schemes are associated with high repayment burden. Therefore, a dynamic scheme will fix the problems associated with the repayment burden by creating a dynamic link between the benefits received and the contributions made by the borrower. Full article

This study investigates how an increase in the quality of business ventures, measured as their success probability, affects trust and return on investment (ROI) in situations where the investor–entrepreneur interaction is affected by moral hazard and asymmetric information. We model a repeated trust problem between investors and entrepreneurs, featuring moral hazard and adverse selection. Hidden Markov techniques and computer simulations are used to derive the main results. We find that trust and ROI may decline as quality improves. Although lenders tend to reduce the requirements for granting initial credit, they nevertheless become less tolerant of current borrowers who fail to pay back. Additionally, we demonstrate a novel substitution effect, where lenders prefer new borrowers over existing borrowers that experienced early failures. The main conclusions of our study are that while impressing early on is effective in gaining first access to credit, it may nevertheless hurt the cause of getting credit in subsequent periods, following an early failure. In business environments plagued with ex post moral hazard, entrepreneurs might do better by gaining trust first and impressing later. Furthermore, our results imply that in a thriving economy, not only are bad loans made, but good loans are lost as well. Full article

We investigate whether the machine learning technique helps to identify zombie firms. We also analyze the differences in zombie indicators proposed by previous research.revious studies successfully classified firms as zombies by focusing on whether they receive subsidized credits. However, when the policy interest rate is low, it becomes more challenging to identify zombies, because low-interest payments by firms can be caused by lenders’ support to zombies and by low policy interest rates. According to our machine learning approach, we show that we can predict zombie firms from financial information that is publicly available even when the policy interest rate is low. We also find that the financial accounts important for predicting zombie firms differ for every zombie indicator, suggesting that these indicators reflect different aspects of firms’ status. Full article