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Granting mortgages to customers likely to become insolvent was widespread in Spain during the housing bubble that burst in 2007, resulting in an unprecedented rate of home repossessions. The practice was usually legal, but if power relations, structural determinations, and asymmetrical access to information are taken into account, it appears abusive and socially harmful. Several sorts of people were involved in it: bank staff who, under pressure from managers, took advantage of their long-standing relationships with customers; real estate agents and mortgage brokers who saw a business opportunity in people’s aspiration to home ownership; and investment banking executives who devised sophisticated financial products aimed at masking risk. For them, selling risky mortgages was not only a profitable business but also a way to comply with norms, values, and expectations at play in their social settings. This chapter will show how mortgage lending and its evaluation as wrong or acceptable by actors in different social positions has a relational nature, and is based on diverging moral economies that guide economic action in the framework of neoliberalism.

The main purpose of this study is to investigate the impact of housing price on mortgage debt accumulation while considering the structural break effects associated with the Global Financial Crisis (GFC).

To determine the existence of a long run relationship among the variables, this study used a Johansen cointegration test. The long run model was then estimated using the fully modified ordinary least square method and reported for both the model with and without a structural break associated with the GFC.

The findings demonstrate a moderate positive relationship between housing price and mortgage debt, with the impact of the GFC is positive but insignificant. The household’s lack of responsiveness to the GFC may be attributed to their optimistic expectations and confidence in the Malaysian housing market.

Findings of this study provide some guidance to policymakers and the banking sector in predicting household borrowing behavior during future economic crises.

The increase in housing prices and mortgage debt after the GFC has been a concern for many countries, including Malaysia. This study contributes to the literature by investigating the relationship between housing prices and mortgage debt in Malaysia and sheds light on the impact of the GFC on household borrowing behavior. The study’s contributions include providing new evidence to the underexplored topic, enhancing the robustness and reliability of the empirical results and providing insights into the importance of testing for structural breaks in time series analysis.

This study aimed to identify the link between the income levels of government workers and the prices of real estate houses in Ghana to identify the prevailing mortgage gaps and to stimulate both reactive and proactive government policies backed by continuous stakeholder engagements under the new normal.

The quantitative approach was used for this study. Two data collection methods were used to achieve the objectives of the study: the survey method, using a questionnaire to collect the primary data, and the use of documentary information as the source of secondary data. For the primary data, prices of two-bedroom and three-bedroom houses were collected. The secondary data collected were: (1) salary levels of government employees and (2) mortgage values prevailing. The three data sets were analysed and structured to identify the relationship between income levels and the prices of real estate houses within the prevailing mortgage system.

It will require a quadrupling of the salaries of only the highest income earners of government employees to afford the average price of a basic two-bedroom and three-bedroom housing in Ghana. Largely, government employees cannot afford these houses with the current price levels and the mortgage systems available. The real estate market in Ghana has not focused on lower-earning groups. The effects of the new normal resulting from the effects of Covid-19 require a paradigm change.

The paper established the relationship between salary levels of government employees and the process of basic accommodation types on offer in the Ghanaian market by the real estate industry: two- and three-bedroom houses. The findings will help real estate developers to consider their approach to housing designs and construction methods and the pricing to ensure that they meet the needs of the public sector workers who could form a large customer base.

This study attempts to find the response of the real estate market to economic changes by identifying cause-effect relationships between mortgage, residential investment, and Saudi employment.

A quantitative approach to analytically examine the relationship among the variables. To find out the impact of investment, mortgage and Saudi employment on the Saudi real estate growth from 1970 to 2019. All data sets were obtained from the General Authority for Statistics (GAST), Saudi Central Bank (SAMA) and World Bank Group.

This study reveals a positive relationship between the mortgage and GDP in the Saudi Arabian real estate market. The same results for employment and investment; both have a positive effect on the GDP of the real estate market.

Analyzing the impact of real estate financing on various industries and the extent to which it is related to employment and unemployment rates is essential for future research. Moreover, this research can be applied to different countries and compared based on similarities and differences in implementing mortgage-related policies.

The government must encourage investment in various ways and establish a stable structure that ensures market stability and finds a balance between supply and demand.

This study reflects the importance of real estate financing not only to individuals and governments but also to investors and business workers, and it is essential to analyze the impact of real estate financing on various industries, as well as the extent to which it is related to employment and unemployment rates. This research can be applied to different countries and compared based on similarities and differences in the implementation of mortgage-related policies.

This study contributes to testing this study’s hypothesis: that mortgage positively impacts the real estate market of Saudi Arabia.

The purpose of this paper is to examine the antecedents of customer satisfaction during mortgage purchases. Mortgage demand in the USA has reached an all-time high because of an increase in housing demand after COVID-19. Nonetheless, several customers are dissatisfied with their service providers. Customers who actively search the market gain more information about mortgage providers and use this information to define expectations for lenders. The only way there will be customer satisfaction is if lenders meet these expectations. Therefore, it is economically significant for mortgage lenders to discover the antecedents of mortgage satisfaction.

In this study, the partial least squares approach was used to test the hypothesis that satisfaction was influenced by objective knowledge, familiarity and search intensity among a sample of customers (n = 4,512) from the National Survey of Mortgage Originations who had purchased a mortgage in the USA between 2019 and 2020.

The results of structural modelling showed that familiarity (β = 0.23 and p = 0.01) with and knowledge (β = 0.16 and p = 0.01) of mortgages significantly affected consumer satisfaction during mortgage purchase. Search intensity (p = 0.01) mediated the relationship between knowledge, familiarity and satisfaction.

The primary implication is that mortgage service providers should prioritise educating customers about the mortgage buying process on their websites and in person. So managers must actively assist clients in having realistic expectations. Second, mortgage companies should establish a presence on third-party mortgage comparison websites to ensure that customers actively consider alternatives, thereby increasing customer satisfaction.

This study is unique in being an exploratory study to examine the antecedents of mortgage satisfaction using a public data set. This study uniquely examines the National Survey of Mortgage Originations data set with partial least squares approach to examine underlying customer attitudes.

This paper seeks to examine the role that regulation and regulatory agencies played in the creating of the subprime mortgage market, and the subsequent crash of the mortgage market. The paper has two goals. First, it seeks to document the degree to which the US housing markets, and the US housing finance market, were regulated prior to the crash. Second, it seeks to show that regulatory bodies set policies which created both incentives and explicit requirements for Fannie Mae and Freddie Mac, as well as depository institutions, to enter the subprime market.

The paper examines the regulatory environment of the subprime market. It uses regulatory filings and other documents as primary sources.

The popular perception that the subprime mortgage market arose because housing finance was largely unregulated is incorrect. In point of fact, the housing finance market was very heavily regulated. Indeed, the paper shows that the creation of the subprime market was a formal goal of the federal government, and that federal regulatory agencies explicitly required participation by the Government Sponsored Enterprises (GSEs).

The paper's primary implication is that incentive conflicts within the US housing finance system significantly contributed to the mortgage crisis. These incentive conflicts were not just within private firms, but also extend to the GSEs and regulatory agencies. Regulatory agencies not only failed to anticipate the crisis; they actively encouraged the policies which created it. As a result, the primary focus of reform efforts should be on identifying and eliminating such conflicts.

The purpose of this paper is to provide a comprehensive overview of the geography of mortgage lending in Great Britain. It uses a new mortgage dataset as a way to shed light on the spatial distribution of mortgage finance and to highlight the different lending patterns of seven major UK banks. It also examines the relationship between the distribution of mortgage finance and socio-economic status at the local level.

The methodology is based on simple quantitative techniques, including spatial analysis, location quotient analysis and socio-economic classification. Lending data for Great Britain’s 10,000 postcode sectors are the basis for analysis here.

The results suggest that some banks lend significantly less than others in poorer areas, but, owing to a lack of data, it is not possible to say why. It is possible to identify banks that appear to change their lending patterns in areas with different socio-economic characteristics. The paper concludes by reflecting on key messages and by making a small number of recommendations to improve transparency in the sector.

In the absence of demand-side metrics, it is not possible to determine which banks lend disproportionately high or low amounts in poorer areas.

This paper has implications in relation to increasing financial transparency in the residential mortgage sector. The most important implication would be to highlight the fact that this new data – whilst a welcome development – is a long way from providing proper transparency in the mortgage lending sector.

This paper fills a gap in the international literature in relation to our understanding of the geography of mortgage lending in a major world economy. It also highlights important differential lending patterns in relation to socio-economic status at the sub-national level.

The purpose of this paper is to investigate the economic relationship with recent changes in China’s land use policy and rural development through innovation and entrepreneurship.

The first issue of economic importance is in understanding the market value of land use rights (LUR) transactions. To examine this, the authors build an argument around the idea of economic and marginal rents from Ricardo. The second issue relates to the extent by which deepening the rural financial landscape by allowing the mortgaging of LUR will promote and advance much needed entrepreneurial activity. To explore this issue, the authors draw on Schumpeter. The empirical contribution is based on a survey of 1,465 farm households in Gansu, Henan, Shaanxi and Shandong provinces.

In an endogenous Two-Stage Least Squares model, the authors find a positive and significant relationship between a willingness to mortgage LUR and entrepreneurship, which suggest that the new policy may well meet that objective. However, the authors do not find that entrepreneurs alone will have a willingness to mortgage LUR; non-entrepreneurs – traditional farmer types – would also be willing to mortgage LUR, but with a caveat that either group already has a disposition or demand for credit.

The value of the analysis is to provide an evidence to understand the market value of LUR transactions and to study the relationship between mortgage of LUR and entrepreneurial activity.

This paper aims to propose a new indicator of product differentiation in the mortgage market and use it to examine how the double crisis, local market competition and bank-specific characteristics have influenced the supply of non-conventional mortgages in Italy.

This paper uses a special Bank of Italy’s survey on 400 Italian banks over the period 2006–2013, to compute a new indicator for product differentiation in the mortgage market. This paper considers mortgage with non-conventional characteristics: loan-to-value ratio greater than 80%; duration longer than 30 years or with a flexible maturity. This paper estimates probit and ordinary least squares (OLS) models using panel data at bank-time level.

The findings suggest that during the double crisis that hit the Italian economy between 2008 and 2013, the diversification process in the Italian household mortgage market slowed down. Controlling for banks’ and local markets’ this study finds that larger, less risky banks and those that have adopted scoring systems are more likely to offer non-conventional mortgages; moreover, banks operating in more competitive markets and in markets where other banks offer non-conventional loans tend to diversify their supply more. Most of these indications are confirmed by analyzing the quantities actually granted. These results suggest that the structure of the local markets does matter, and that there could be a non-price competition effect among banks in providing differentiated mortgage contracts.

The indicator, computed using data at bank level drawn from a special Bank of Italy’s survey, goes beyond the standard approach on product differentiation followed in the empirical literature, mainly base on the dichotomy between fixed and variable lending rates. Furthermore, to best of the authors’ knowledge, so far there is no empirical evidence on the supply-side factors that influenced the diversification of mortgages’ contractual terms during the crisis; particularly, there is no evidence on the role of local market competition and bank-specific features. This paper contributes to fill this gap in the literature.

The problem in alleviating homeowner mortgage distress through refinance is how to achieve meaningful alleviation without prospectively harming the financier. The problem revolves around two parameters from real estate finance – the probability that the distress leads to foreclosure and resulting foreclosure loss severity for the financier if foreclosure does occur. Previous analysis focuses on reducing the probability that homeowner distress leads to foreclosure. By contrast, the purpose of this paper is to focus on reducing foreclosure loss severity.

The study develops a new intuitive formula for foreclosure loss severity to quantify its dependence on transaction costs. The study shows that foreclosure loss severity reduction is feasible by introducing a new refinancing instrument that lowers foreclosure transaction costs and applying property law to derive the structure of the refinancing instrument.

Foreclosure loss severity reduction can subsidize concessions on scheduled payments for homeowners with arbitrarily poor credit without prospective harm to the financier.

Quantification of mortgage distress relief is limited to distressed mortgages described by representative parameter values from various government studies.

For most distressed homeowners, payment and principal reductions could exceed those available from the recent government programs.

Implementation should significantly enlarge the pool of homeowners eligible for mortgage distress relief.

The mortgage refinance is qualitatively different from that available under existing government refinance programs because it is based on an arms-length exchange of property rights that makes market sense regardless of whether the refinancing results in subsequent homeowner default.