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We identify two issues in the work of Ouazad and Kahn (2022). Correcting either reverses the original result. The two changes are to use the correct FHFA conforming loan limits for each county and year and to compare the individual loan amount to that limit correctly. There is no evidence that lenders transfer climate risk by altering loan origination and securitization behavior. None of our results calls into question the value and importance of the O&K model as a test for adverse selection. The question addressed and the setup of the test are important and should be replicated over time. [ABSTRACT FROM AUTHOR]

We analyze the distributional effects of macroprudential policy on mortgage cycles by exploiting the U.K. mortgage register and a 2014 15% limit imposed on lenders' high loan-to-income (LTI) mortgages. Constrained lenders issue fewer and more expensive high-LTI mortgages, with stronger effects on low-income borrowers. Unconstrained lenders strongly substitute high-LTI loans in local areas with higher constrained lender presence, but not high-LTI loans to low-income borrowers—consistent with adverse selection problems—implying lower overall credit to low-income borrowers. Consistently, policy-affected areas experience lower house price growth postregulation and, following the Brexit referendum (negative aggregate shock), better house price growth and lower mortgage defaults for low-income borrowers. [ABSTRACT FROM AUTHOR]

After exogenous demand shocks caused by natural disasters, FinTech lenders are more responsive to increased demand for reconstruction mortgages than traditional banks and non-FinTech shadow banks. Both FinTech and traditional banks increase credit supply, but FinTech supply is more elastic without increases in risk-adjusted interest rates or delinquency rates. Comparing lending supply channels, banks respond to regulatory incentives to lend to damaged areas, whereas FinTech lenders supply more credit when traditional banks rely more on balance sheet financing and physical branch networks. Compared to traditional banks, FinTech lenders increase supply elasticity more aggressively in response to local competitive pressure. [ABSTRACT FROM AUTHOR]

This study provides novel evidence regarding the effects of loan-to-value (LTV) limits on housing choices. Using a detailed loan-level dataset, I exploit the introduction of LTV limits in Israel. I find that the LTV limits led borrowers to choose housing units that were more affordable, farther from the central business district, and in lower socioeconomic neighborhoods. Additionally, these LTV limits increase interest rates and decrease loan amounts. The findings of this study indicate that macroprudential policies, which focus on the stability of the financial system, have micro implications on location choices, commuting costs, and movement to less-advantaged areas. [ABSTRACT FROM AUTHOR]

This study fills a significant research gap in Malaysian government-led homeownership and affordability. Centered on crucial market attributes influencing these initiatives, insights from low-income groups were obtained. The primary aim of this study was to assess the importance of various market attributes on government homeownership initiatives in Malaysia. The data were collected from low-income groups using a structured questionnaire, providing valuable insights into the unique challenges faced by this demographic. A Relative Importance Index (RII) was employed to analyze the data, revealing that Financial Market Factors, Household Financial Capacity, Housing Affordability and Accessibility, and Government Housing Policies were the market attributes of the highest importance in shaping government homeownership efforts. The results of the exploratory factor analysis demonstrated that the Financial Market Factor was the most influential component, as indicated by its mean rank. This study sought to incorporate the valuable perspectives of respondents regarding integrating future value into financing models. Respondents' opinions reflected a significant level of support for such innovative approaches. This study examines the crucial market attributes influencing government homeownership initiatives in Malaysia. The findings underline the potential of incorporating future value into financing models to enhance housing affordability for low-income groups and promote broader homeownership objectives. [ABSTRACT FROM AUTHOR]

Housing precarity as a condition referring to housing insecurity and unaffordability has been on the rise over the last decade across Europe and beyond. While various studies discuss the character of housing precarity and its links to (subprime) mortgage loans, the role of specific moral economies of debt in enacting housing policies which reinforce housing precarity is less developed in relation to other kinds of loans or the experience of debt enforcement. This article analyses fifty narrative interviews—thirty with debtors and twenty with institutional actors—and employs a processual methodology to highlight the performativity of personal debt and local housing policies. Performativity, enacted and modulated by moral economies of effort, (un)deservingness and (ir)responsibility, contributes to the remaking of housing precarity among indebted people, creating a vicious housing precarity-indebtedness loop. In the conclusion, we highlight the contingent and selective application of local housing policies which exclude the overindebted from municipal housing and discuss possible political and policy actions for overcoming the housing governance which generates this precarity. [ABSTRACT FROM AUTHOR]

This article makes a key contribution to the comparative political economy literature by accounting for the macroeconomic role of household finance. Based on post-Keynesian theories of finance and the financialization literature, we place house prices and mortgage credit squarely at the center of the macroeconomy, as speculative house price cycles can facilitate homeowner consumption via the use of equity release mortgages. Through an econometric evaluation of eighteen advanced economies from 1980 to 2019, we demonstrate that household debt is determined by house price inflation, and that rising household debt contributes to GDP growth, while business debt has negative growth effects. These results are consistent across countries with different growth models and financial systems. This suggests that the varieties of capitalism's focus on corporate finance is misplaced and that the growth models approach needs a theory of house prices, mortgage credit, and financial cycles to adequately conceptualize how debt-driven growth operates across advanced economies. [ABSTRACT FROM AUTHOR]

Using loan-level data, this analysis considers the intersection of race, subprime home loans, and the current vacancy crisis in St. Louis, Missouri. Borrowers in Black areas in the north of St. Louis City and St. Louis County received subprime home loans at higher frequencies during the subprime boom period of 2003–2007 than those in White areas, with differences in balloon loans especially stark. Specifically, borrowers in Black neighborhoods received subprime loans more frequently than those with equal FICO scores in White neighborhoods. As a result of these differential loan terms, North City and inner ring "First Suburb" areas saw more foreclosure and borrower payment delinquency, which in turn were highly associated with home vacancy, controlling for other risk factors. However, foreclosure was no longer a significant predictor of home vacancy after controlling for demographic factors and FICO score, indicating that the unequal loan terms may have driven much of the increase in home vacancy in the St. Louis area since the Great Recession. [ABSTRACT FROM AUTHOR]

The widespread usage of machine learning systems and econometric methods in the credit domain has transformed the decision-making process for evaluating loan applications. Automated analysis of credit applications diminishes the subjectivity of the decision-making process. On the other hand, since machine learning is based on past decisions recorded in the financial institutions' datasets, the process very often consolidates existing bias and prejudice against groups defined by race, sex, sexual orientation, and other attributes. Therefore, the interest in identifying, preventing, and mitigating algorithmic discrimination has grown exponentially in many areas, such as Computer Science, Economics, Law, and Social Science. We conducted a comprehensive systematic literature review to understand (1) the research settings, including the discrimination theory foundation, the legal framework, and the applicable fairness metric; (2) the addressed issues and solutions; and (3) the open challenges for potential future research. We explored five sources: ACM Digital Library, Google Scholar, IEEE Digital Library, Springer Link, and Scopus. Following inclusion and exclusion criteria, we selected 78 papers written in English and published between 2017 and 2022. According to the meta-analysis of this literature survey, algorithmic discrimination has been addressed mainly by looking at the CS, Law, and Economics perspectives. There has been great interest in this topic in the financial area, especially the discrimination in providing access to the mortgage market and differential treatment (different fees, number of parcels, and interest rates). Most attention has been devoted to the potential discrimination due to bias in the dataset. Researchers are still only dealing with direct discrimination, addressed by algorithmic fairness, while indirect discrimination (structural discrimination) has not received the same attention. [ABSTRACT FROM AUTHOR]

In China, many Internet financial platforms (IFPs) are grappling with sustainability challenges due to elevated default rates, which have triggered widespread investor anxiety. To evaluate the sustainability practices of these platforms, we propose a reputation evaluation model designed to rank IFPs based on their sustainability. The economic sustainability of an IFP is decomposed into three components: scale strength, capital liquidity, and sustainable operating capability. Through an analysis of the correlation relationships between various indicators, we have identified nine significant indicators. Mathematical models are established to quantify these nine indicator variables. Subsequently, the score values of each indicator are integrated to establish a reputation evaluation model utilizing the weighted geometric mean method. Furthermore, the reputation evaluation values for 18 Chinese IFPs were calculated using the developed model, and the sustainability of the platforms was ranked according to the reputation evaluation value. A comparative analysis was also conducted between the sustainable rankings proposed in this study and the development rankings of the "Home of Online Loans" (HOL). The results reveal that our model effectively considers both the current operational strength and the sustainable development capability of the platform. It successfully identifies platforms with poor sustainability, assisting investors in making more informed decisions. Simultaneously, this study identifies key indicators influencing the sustainability of IFPs, providing valuable insights for managers seeking to enhance the sustainable operational levels of their platforms. [ABSTRACT FROM AUTHOR]

We document novel evidence on the spillover effect of a corporate control regulation on local mortgage markets. We find that banks directly targeted by the Sarbanes-Oxley Act (SOX) to rectify their internal control weaknesses reduce mortgage originations following the regulation's enactment. This causes mortgage credit to be reallocated toward other banks in the same local markets: while competing public banks expand lending to safer borrowers, private banks increase lending toward risky applicants. Consequently, loans originated by private banks in spillover counties report higher default rates. (JEL E51, G21, G38) [ABSTRACT FROM AUTHOR]

We provide new evidence that mispriced mortgage insurance shifted credit supply and contributed to the mortgage boom and bust of the early 2000s. Original data on private mortgage insurance premiums from 1999 to 2016 reveal that before 2008, premiums did not vary across loans with widely different indicators of default risk. We quantify the mispricing of premiums before 2008 and show that even allowing for more optimistic beliefs, the flat premium structure resulted in cross‐subsidies and substantial adverse selection. [ABSTRACT FROM AUTHOR]

We introduce a new measure of the price charged by financial intermediaries for connecting mortgage borrowers with capital market investors. Based on administrative lender pricing data, we document that the price of intermediation reacts strongly to variation in demand, reflecting capacity constraints of mortgage originators. This positive comovement of price with quantity reduced the pass‐through of quantitative easing. We also find a notable upward trend in this price between 2008 and 2014, likely due to increased legal and regulatory burden in the mortgage market. The trend led to an implicit cost to borrowers of nearly $100 billion over this period. [ABSTRACT FROM AUTHOR]

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Background: Interventions aimed at upstream factors contributing to late‐stage diagnoses could reduce disparities and improve breast cancer outcomes. This study examines the association between measures of housing stability and contemporary mortgage lending bias on breast cancer stage at diagnosis among older women in the United States. Methods: We studied 67,588 women aged 66–90 from the SEER‐Medicare linked database (2010–2015). The primary outcome was breast cancer stage at diagnosis. Multinomial regression models adjusted for individual and neighborhood socio‐economic factors were performed using a three‐category outcome (stage 0, early stage, and late stage). Key census tract‐level independent variables were residence in the same house as the previous year, owner‐occupied homes, and an index of contemporary mortgage lending bias. Results: In models adjusted for individual factors, higher levels of mortgage lending bias were associated with later stage diagnosis (RR = 1.10, 95% CI 1.02–1.20; RR = 1.31, 95% CI 1.16–1.49; RR = 1.41, 95% CI 1.24–1.60 for least to high, respectively). In models adjusted for individual and neighborhood socio‐economic factors, moderate and high levels of mortgage lending bias were associated with later stage diagnosis (RR = 1.16, 95% CI 1.02–1.33 for moderate and RR = 1.18, 95% CI 1.02–1.37 for high). Owner occupancy and tenure were not associated with later stage diagnosis in adjusted models. Conclusions: Contemporary mortgage lending bias demonstrated a significant gradient relationship with later stage at diagnosis of breast cancer. Policy interventions aimed at reducing place‐based mortgage disinvestment and its impacts on local resources and opportunities should be considered as part of an overall strategy to decrease late‐stage breast cancer diagnosis and improve prognosis. [ABSTRACT FROM AUTHOR]

We investigate the bank lending channel of negative nominal policy rates from an empirical and theoretical perspective. For the empirical results, we rely on Swedish data, including daily bank-level lending rates. We find that retail household deposit rates are subject to a lower bound (DLB). Empirically, once the DLB is met, the pass-through to mortgage lending rates and credit volumes is substantially lower and bank equity values decline in response to further policy rate cuts. We construct a banking sector model and use our estimate of the pass-through of negative policy rates to lending rates as an identified moment to parameterize the model and assess the impact of negative policy rates in general equilibrium. Using the theoretical framework, we derive a sufficient statistic for when negative policy rates are expansionary and when they are not. [ABSTRACT FROM AUTHOR]

Until the 1970s, U.S. mortgage lenders commonly discounted half of the wife's income in couples' joint mortgage applications. This changed with the introduction of antidiscrimination legislation in the 1970s, providing a natural experiment to study the relaxation of income-related borrowing constraints. I study the effects of the reform by estimating difference-in-differences regressions and solving a simple calibrated life cycle model. I find substantial positive effects of the reform on mortgage borrowing and homeownership rates of married couples with working wives. Moreover, I find a positive effect on married women's labor force participation, which strongly amplifies the homeownership and borrowing effects. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online [ABSTRACT FROM AUTHOR]

Farmland mortgages are expected to drive county agricultural economic growth (CAEG) as a crucial component of furthering the reform of the rural land system and the reform of the rural financial system against the new backdrop of the new era. This study gathers panel data from 2045 Chinese counties from 2011 to 2020 and uses the difference-in-differences method and the synthetic control method to systematically examine the effects of China's farmland management right mortgage loan (FMRML) pilot program on CAEG. The FMRML pilot program was implemented in 2016, and this research is presented as a quasi-natural experiment. The findings indicate that there is a "policy trap" and that CAEG has not been successfully promoted by the FMRML pilot program. The reason for this is because the pilot program has made county resource mismatch worse, making it unable to fully realize the promotional effect on CAEG, rather than significantly activating the three key drivers of agricultural economic growth: people, land, and money. The impact of the FMRML pilot policy on CAEG is not uniform, according to the results of the heterogeneity study, with a substantial "blocking" effect only in the central region and no significant influence in the western, northeastern, or eastern regions. The findings propose that in order to optimize agricultural mortgage policy and advance CAEG, China and other emerging nations can benefit greatly from the insights this study offers. [ABSTRACT FROM AUTHOR]

In the era of growing importance of financial status, there is an increased importance for various financial institutions which provide such loans. Home is a necessity to all human beings and owning a home is a dream for everyone. Earlier only a few people had the privilege to have an own home but now with the availability of home loans provided by banks many people's dreams has come true. These are loans which are provided either to buy an already built ready to occupy a home or a flat or to construct a home. [ABSTRACT FROM AUTHOR]

In the era of growing importance of financial status, there is an increased importance for various financial institutions which provide such loans. The main objective of the study of the loans and advances is to understand the lending policies and the various schemes of financial assistance provided by the bank. The bank works comparatively different from other financial institutions and banks as it works according to the rules and regulations and the guidelines by the RBI. In this background the topic of personal lending schemes of ICICI BANK LTD is chosen as the subject matter of this project. The findings of the project may be considered by ICICI BANK LTD while formulating the policies for increasing the volume of personal lending schemes. The study is also required to analyze the views of the borrowers and to analyze the satisfaction level of customers. It helps to know in detail the Loans and Advances provided by the bank, right from its inception stage, growth and future prospects. [ABSTRACT FROM AUTHOR]

During the spread of the COVID-19 virus, governments in many countries took temporary measures to mitigate and/or remove the cost of its negative effects on both society and the economy. In Türkiye, as in many countries, the deposit banks cut mortgage interest rates. Thus, Türkiye has experienced large increases in house prices, as have many countries. Türkiye has also become the country with the highest average annual rate of house price increase among the Organisation for Economic Co-operation and Development (OECD) countries during the pandemic period. However, despite an increase in the number of studies on house prices or mortgage loans during the pandemic period, there is a research gap in terms of a comparison of the relationship between house prices and mortgage loans in the pre-pandemic and the pandemic periods compared with that on other assets or in other sectors,. This study aims to rectify this gap. To achieve this, both the Fourier Granger and the Fourier Toda-Yamamoto causality tests are used. The results indicate that there are differences in both periods of time with respect to the relationship between mortgage loans and house prices in Türkiye, and that there is a causal relationship between both factors in the prepandemic period, but not during the pandemic period. [ABSTRACT FROM AUTHOR]

This study explores the potential of utilizing alternative data sources to enhance the accuracy of credit scoring models, compared to relying solely on traditional data sources, such as credit bureau data. A comprehensive dataset from the Home Credit Group's home loan portfolio is analysed. The research examines the impact of incorporating alternative predictors that are typically overlooked, such as an applicant's social network default status, regional economic ratings, and local population characteristics. The modelling approach applies the model-X knockoffs framework for systematic variable selection. By including these alternative data sources, the credit scoring models demonstrate improved predictive performance, achieving an area under the curve metric of 0.79360 on the Kaggle Home Credit default risk competition dataset, outperforming models that relied solely on traditional data sources, such as credit bureau data. The findings highlight the significance of leveraging diverse, non-traditional data sources to augment credit risk assessment capabilities and overall model accuracy. [ABSTRACT FROM AUTHOR]

This article illustrates the development and characteristics of two customary forms of mortgage lending by analyzing a total of 3,630 mortgage cases found in four lineage communities in rural Hong Kong during the period 1905–1965 under British colonial rule. Two major findings are presented. First, there was a progressive decline of the dian 典 form, in sharp contrast to the increasing popularity of the diya 抵押 form. Second, while dian practices distinctly followed prevailing kinship-based moral values and obligations to help needy agnates, agnatic ties were not a significant factor in determining the terms of diya loans. This suggests that needy villagers did not feel disinclined to get a loan from lineage outsiders who could offer reasonable or attractive terms. The popularity of the diya practice demonstrates the existence of a strategic balance between self-interest and communal moral values and mutual obligations in lineage communities. [ABSTRACT FROM AUTHOR]

Using the Credit Risk Transfers (CRTs) issued by Fannie Mae and Freddie Mac, we study how, absent government intervention, mortgage markets would price hurricane risk. Currently, such risk is priced equally across locations even if it is location‐specific. We hand collect a novel and detailed database to exploit CRTs' heterogeneous exposure to Hurricanes Harvey and Irma. Using a diff‐in‐diff specification, we estimate the reaction of private investors to hurricane risk. We use the previous results to calibrate a model of mortgage lending. We simulate hurricane frequencies and mortgage default probabilities in each US county to derive the market price of mortgage credit risk, that is, the implied guarantee fees (g‐fees). Market‐implied g‐fees in counties most exposed to hurricanes would be 70% higher than inland counties. [ABSTRACT FROM AUTHOR]

A farming household's decision to continue producing agricultural commodities within the United States is influenced by a multitude of factors. Thus, this study seeks to examine whether the outstanding student loan balance of any member within a farming household may explain why the total number of acres devoted to the production of agriculture in the United States continues to decline. Panel data from the 2007–2009 Survey of Consumer Finances are analyzed via a fixed effect model to estimate the effect of outstanding student loan balances on farmland acreage owned, controlling for other factors like farm income, debt, and land prices. The results suggest that for each additional dollar of outstanding student loan debt, there is an associated decrease of 0.0064 acres in total farmland ownership. This suggests that student loan debt may also be a factor in the decline in real estate devoted to agriculture production. The estimated effect is both economically and statistically significant. This study contributes to the literature on the risks and constraints associated with farming households that own or seek to procure additional acres of agricultural producing real estate. [ABSTRACT FROM AUTHOR]

This paper revisits the policy drivers of the substantial household credit boom experienced in recent decades. While existing work has typically pointed to the retreat of the state, deregulating and substituting public safety nets by private credit, this paper brings the focus to the active use by governments of 'fiscal policy as credit policy' through homeownership subsidization. In this context, the paper introduces a new unique dataset of 550 homeownership subsidies adjustments in 51 advanced and emerging countries since 1990, which brings two important contributions. First, I show that these fiscal subsidies have been increasingly used since the 1990s and significantly contributed to the easy credit stance up to the global financial crisis in both advanced and emerging countries. Second, using panel fixed effects regressions, I find that these subsidies, and notably mortgage interest deductibility, are indeed significantly associated with household/mortgage credit expansion, with crucial distributional and financial stability implications. [ABSTRACT FROM AUTHOR]

Using natural disasters as shocks to local economies, we document that a bank branch's ability to set deposit rates locally has real effects. Following disasters, branches with rates set locally increase deposit rates more and experience higher deposit volumes in affected counties. Consistent with imperfect insurance from internal capital markets, banks with more branches setting rates locally relatively expand mortgage lending in affected counties. House prices recover faster in local areas where more branches' rates are set locally. This paper was accepted by Tomasz Piskorski, finance. Supplemental Material: The data files and online appendix are available at https://doi.org/10.1287/mnsc.2023.4856. [ABSTRACT FROM AUTHOR]

Firm structure affects incentives and performance. We document significant differences in subprime lending between banks and credit unions prior to and during the Great Recession. In 2006, 23.6% of mortgages from commercial banks were subprime versus only 3.6% of mortgages from credit unions. Moreover, banks were more likely to fail, and had higher delinquency and net charge-off ratios immediately following the financial crisis. Our empirical models control for important differences between credit unions and banks including firm-level characteristics, borrower-level characteristics, and state-level economic conditions. We argue that the remaining difference captures the effects of credit unions' nonprofit and cooperative structure, which encourages them to internalize the utility of their customer-owners. Our findings explain why credit unions often appear more risk averse relative to commercial banks, a result with important research and policy implications. (JEL G12, G31) [ABSTRACT FROM AUTHOR]

The article presents a dossier on the symptoms of the crisis in contemporary Spanish novels. It mentions that the financial crisis in Europe began with the collapse of the American bank Lehman Brothers in 2008, but it was already being announced in the United States due to subprime mortgages and the inability of many citizens to pay their mortgages and loans. In Spain, the crisis is related to the real estate bubble and the granting of loans without guarantees by banking entities. The crisis affects the banking sector and has repercussions in the labor market, causing layoffs, an increase in unemployment, and a drastic decrease in consumption. [Extracted from the article]

This article examines whether, and if so to what extent, a lender can engage in the algorithmic personalised pricing of consumer credit products (PP) under the Unfair Contract Terms Directive (UCTD) and the Consumer Credit Directive (CCD). To this end, the author first analyses the economic literature to discuss the mechanics of PP and the economic impacts on different consumer groups. This overview is followed by an examination of the UCTD and the CCD, in the broader context of EU regulatory law, as these Directives apply to the practice and the contractual terms. Subsequently, the author applies the considerations of the European Court of Justice (CJEU) in the jurisprudence regarding price terms in credit and mortgage agreements to personalised price terms. Finally, the author concludes that the Directives indeed limit the extent to which a lender can engage in PP, but that the frameworks in the broader EU regulatory context would be better suited than the Directives to address the negative economic impacts of the practice. [ABSTRACT FROM AUTHOR]

The article seeks to provide innovative measures aimed at addressing the delivery of affordable housing market in South Africa in view of diminishing fiscus and rising interest rates. It defines the mortgage finance trends in South Africa through analysis of primary data from financial institutions to establish the level of activity and contrarians. Upon understanding the market challenges, the author recommends sound proposition with respect to engineering responsive interventions diversify with respect to demand and supply side blockages in the Affordable Housing Market in South Africa. Based on the findings, the author has found that interest rate increases have hurt the property market activity greatly and lenders in turn also apply very stringent underwriting standards at the height of high interest rate cycles. Furthermore, it has been established the mortgage credit impairments have increased resulting in significant credit loss as the majority of low- and middle-income households are overindebted and mortgage debtors are on the verge of being foreclosed on due to the risk of default. The article concludes by providing recommendations as interventions and measures aimed at upscaling the delivery of affordable housing in South Africa. [ABSTRACT FROM AUTHOR]

In 2009, the Federal Reserve subjected nonbank mortgage-originating subsidiaries of bank holding companies (BHCs), but not independent nonbank (INB) mortgage originators, to consumer compliance supervision. We examine the effects of this regulatory change on the pricing and performance of nonbank originations using a sample of conventional, first-lien, amortizing mortgages originated between 2000 and 2015. We find that subsidiary nonbank (SNB) loans, which had a higher probability of default than INB mortgages prior to the policy change, had a lower probability of default following the change. In addition, we identify small but statistically significant decreases in loan interest rates and loan-to-value ratios for SNB mortgages relative to INB mortgages. When we split our sample into prime and subprime mortgages, we find those effects hold for prime mortgages. For subprime mortgages, after the policy change SNB originations had higher interest rates and lower LTV ratios than INB mortgages, with only weakly significant differences in probabilities of default. The findings are robust to several potential confounding effects, including those due to firm entries and exits. Our findings are consistent with BHCs reducing risk shifting in mortgage lending across subsidiaries following their heightened regulatory scrutiny. [ABSTRACT FROM AUTHOR]

Amid the emerging dominance of nonbanks, small banks use key financing advantages to persist in the mortgage market. We provide evidence of the heterogeneous impact of two shocks to the supply of mortgage credit: postcrisis regulatory burden and GSE financing cost changes. Small banks exploit regulation disproportionately affecting the largest four banks (Big4) and their ability to lend on balance sheet to strongly substitute for the retreating Big4. The erasure of guarantee fee (g-fee) discounts for large lenders facilitates small bank growth in GSE lending. Small banks also grow balance sheet loans in areas more exposed to g-fee hikes. [ABSTRACT FROM AUTHOR]

By allowing different agency mortgage-backed securities (MBS) to be traded based on limited characteristics, the to-be-announced (TBA) market generates liquidity and benefits the MBS market broadly. We quantify effects of the TBA structure on mortgage borrowers. Exploiting discontinuities in TBA eligibility, we estimate that TBA eligibility reduces mortgage rates by 7 to 28 basis points. The TBA eligibility benefit is larger for mortgages with higher expected prepayments. We also find that TBA eligibility affects refinancing, which has implications for monetary policy transmission. Our finding is relevant for housing policies, such as housing finance reforms and uniform MBS. Authors have furnished an Internet Appendix , which is available on the Oxford University Press Web site next to the link to the final published paper online. [ABSTRACT FROM AUTHOR]

Using the government-sponsored enterprises' sharp securitization rules, this paper provides evidence that, in the aftermath of natural disasters, lenders are more likely to approve mortgages that can be securitized, thereby transferring climate risk. The identification strategy uses the time-varying conforming loan limits above which the government-sponsored enterprises do not securitize mortgages. Natural disasters lead to more securitization right below the limit, suggesting an increased option value of securitization. A model identified using indirect inference simulates increasing disaster risk without GSEs. Mortgage credit supply would decline in flood zones and lenders would have a greater incentive to screen mortgages. [ABSTRACT FROM AUTHOR]

We exploit a U.K. government-sponsored product and provide evidence on shared equity mortgages. The analysis shows how the interaction of house price growth and leverage regulation promotes product adoption. Following an increase in the equity limit, households use the additional financing to buy more expensive properties rather than reduce leverage. Equity used as a complement to debt is likely less beneficial for financial stability than when used as a substitute. Equity borrowers are less likely to change lenders when refinancing their senior debt. Finally, we measure the equity provider returns, which are affected by selection and undervaluation at repayment. Authors have furnished an Internet Appendix , which is available on the Oxford University Press Web site next to the link to the final published paper online. [ABSTRACT FROM AUTHOR]

This paper exploits an influx of Chinese students to U.S. universities from 2000 through 2018 to study synergies between banks' deposit-taking and lending activities. Banks that are more recognizable by Chinese students experience higher deposit inflows and increase their local credit supply. This credit supply expansion only occurs in information-sensitive credit markets: small business loans and second lien mortgages. Such increase concentrates in nontradable sectors and is more pronounced at locations where managers have more autonomy. The results indicate that deposits from local consumers convey private information about the local credit market, which helps banks in information-sensitive lending. [ABSTRACT FROM AUTHOR]

Unequal homeownership access is a major component of ethno-racial stratification. Previous studies have demonstrated substantial ethno-racial disparities in access and outcomes throughout the homeownership process. In addition, prior research has assumed that mortgage applicants have a similar age distribution across ethno-racial groups. This paper draws on annual data from the 2018 and 2019 Home Mortgage Disclosure Act (HMDA) to assess variation in ethno-racial disparities in loan outcomes associated with different ages. I show that ethno-racial disparities in loan outcomes vary tremendously when considering the age of the applicant. I demonstrate that loan rejections and high-cost loan originations are highest among Latino and Black borrowers across age groups compared to Whites. Black borrowers have worse adverse loan outcomes than Whites, regardless of age. Depending on the adverse loan outcome, Asians perform similarly or underperform compared to Whites. In addition, older applicants are more likely to be denied a mortgage loan than younger applicants, while the trends for high-cost loans vary considerably across ethno-racial groups. When examining high-cost loan originations, Latinos above 65 years old (who are the best performing Latino sub-group) underperform Whites regardless of age. [ABSTRACT FROM AUTHOR]

The article provides a comprehensive overview of the Federal Home Loan Banks (FHLBanks) in the United States. It discusses the historical context of their establishment during the Great Depression and their evolution over time. The article highlights key legislation and regulatory changes that have shaped the FHLBanks' mission and membership. It also addresses criticisms of the FHLBanks and suggests potential opportunities for improvement, such as clarifying their mission, expanding membership, and increasing support for affordable housing. The article emphasizes the importance of adaptability and evolution for the FHLBanks to remain relevant in the changing financial industry. [Extracted from the article]

All over the world, home loans and mortgages are part and parcel of the products and services being offered by the financial institutions-such as banks and homeowner mortgage institutions to their numerous customers. Prior, during and post home loan transactions, they owe their customers the duty to ensure full disclosure of all the terms and conditions in the mortgage agreements without withholding any information. This paper examines any act contrary to uberrimae fidei-utmost good faith in the transactions. Uberrimae fidei requires the highest standard of good faith on both the lender and borrower to disclose all material facts that could influence the decisions of the other party in seeking and granting home loans and mortgages. Failure might result in severe consequences by exploring both the civil and criminal responsibilities and liabilities of the party who acted mala fide-in bad faith. Against this backdrop, this paper examines the protection offered by the laws to ensure level playing field prior, during and after mortgage lending transactions. [ABSTRACT FROM AUTHOR]

The article discusses developments in fair lending enforcement activities in the U.S. Topics include the largest redlining settlement announced by the Department of Justice (DOJ) in January 2023, federal regulatory developments, and litigation brought by city and county governments seeking to recover damages allegedly due to discrimination by mortgage lenders in their communities.

The relevance of the study is that the pandemic has affected the financial stability of many businesses. The purpose of the study is to consider the features of bank lending to businesses in a pandemic. Providing credit in the era of the coronavirus is associated with increased risk. However, this does not mean that it is impossible to obtain new funding. Banks still offer a variety of credit products, including mortgages and cash or credit card loans. Changes in the level of debt mask the distinction between new borrowings and repayments of existing amounts. Business loans are mostly short-term, and their rates can be adjusted relatively easily. Historical data shows that on average, 90% of new business loans have a variable or fixed rate with a maturity of less than one year. The huge surge in loans to new businesses is primarily conditioned upon this short-term financing. The speed and scale of the return of the gap to the pandemic is unprecedented. The practical significance lies in the analysis of problems and obstacles to bank lending to businesses in a pandemic, and ways to solve them. [ABSTRACT FROM AUTHOR]

Green This article is aimed at investigating the determinants of mortgage loan approval in developing countries, employing the binary probit model. Loan approval was made the response variable while deposit, amount to borrow, lending rate, gratuity, capacity to pay the loan and character of the borrowers stood as the explanatory variables. Cross-sectional data were collected from the four top banks in Nigeria. The result showed that all the variables had the correct signs but only the capacity to pay the loan has a significant impact in determining the success of mortgage loan approval. Collectively, all the variables have significant power to determine mortgage loan approval. It is therefore suggested that prospective borrowers should ensure that they have all it takes to refund the loan they wish to obtain from commercial banks. [ABSTRACT FROM AUTHOR]