Changes in Personal Bankruptcy Protection Laws: The Impact to Home Mortgage Lending

2018 ◽  
Author(s):  
Jason Damm ◽  
Masim Suleymanov
Keyword(s):  
Mortgage Lending ◽  
Personal Bankruptcy ◽  
Home Mortgage ◽  
The Impact

scholarly journals Collateral Damage: The Impact of Foreclosures on New Home Mortgage Lending in the 1930s

2018 ◽  
Author(s):  
Price Fishback ◽  
Sebastián Fleitas ◽  
Jonathan Rose ◽  
Kenneth Snowden
Keyword(s):  
Mortgage Lending ◽  
Collateral Damage ◽  
Home Mortgage ◽  
The Impact

scholarly journals The Home Mortgage Disclosure Act And Subprime Lending

2010 ◽  
Vol 26 (5) ◽  
Author(s):  
Rakesh K. Gupta ◽  
Hari Sharma ◽  
Cheryl E. Mitchem
Keyword(s):  
Mortgage Lending ◽  
Predatory Lending ◽  
Subprime Lending ◽  
Fixed Rate ◽  
Mortgage Industry ◽  
Reporting Requirements ◽  
Home Mortgage Disclosure Act ◽  
Adjustable Rate Mortgage ◽  
Home Mortgage ◽  
The Impact

<p class="MsoNormal" style="text-align: justify; margin: 0in 0.5in 0pt; mso-pagination: none;"><span style="color: black; font-size: 10pt; mso-themecolor: text1;"><span style="font-family: Times New Roman;">This research paper focuses on the analysis of subprime lending activities in specific geographic area in the light of reporting requirements of the Home Mortgage Disclosure Act (HMDA). This cross sectional study has focused on the detailed analysis of mortgage data for the selected Metropolitan Statistical Areas (MSA) from a socio-economic perspective. The objective of this research is to assess the impact of predatory lending in selected geographic regions. Another dimension of the research focuses on the role of mortgage lending from a securitization point of view. The study reveals that private securitization (PSEC) mortgages grew dramatically not only by the number of loans but also significantly by the dollar amount due to subprime lending activities during the period of study. The growth in PSEC loans affected mortgage lending in several ways, such as, increasing subprime lending, boosting home prices, and undermining mortgage industry regulations. Additionally, Government-Sponsored Enterprises (GSEs) loan originations also increased the number of subprime loans because of relaxed reporting requirements which contributed to increased delinquencies and foreclosures for conforming loans. The study further reveals that HMDA reporting requirements allowed the mortgage industry to conceal the loans that had spreads above the prime rate of up to 3.5 points for Fixed Rate Mortgage or 5 points for Adjustable Rate Mortgage (ARM). The study of mortgage lending programs, products, and regulatory laws have also been examined to assess the impact of predatory lending on homeownership. </span></span></p>

scholarly journals Collateral Damage: The Impact of Foreclosures on New Home Mortgage Lending in the 1930s

2020 ◽  
Vol 80 (3) ◽  
pp. 853-885
Author(s):  
Price Fishback ◽  
Sebastian Fleitas ◽  
Jonathan Rose ◽  
Ken Snowden
Keyword(s):  
Real Estate ◽  
Great Depression ◽  
Mortgage Lending ◽  
Credit Crunch ◽  
Collateral Damage ◽  
Balance Sheets ◽  
The Great Depression ◽  
Mortgage Credit ◽  
Home Mortgage ◽  
The Impact

The Great Depression of the 1930s involved a severe disruption in the supply of home mortgage credit. This paper empirically identifies a mechanism lying behind this credit crunch: the impairment of lenders’ balance sheets by illiquid foreclosed real estate. With data on hundreds of building and loans (B&Ls), the leading mortgage lenders in this period, we find that the overhang of foreclosed real estate explains about 30 percent of the drop in new lending between 1930 and 1935.

The Unintended Consequences of Credit: The Impact of Housing Credit on Personal Bankruptcy

2015 ◽  
Author(s):  
Sumit Agarwal ◽  
Changcheng Song
Keyword(s):  
Unintended Consequences ◽  
Personal Bankruptcy ◽  
The Impact

Revealing of the specificity of mortgage housing lending based on the results of clustering of regions

2021 ◽  
Vol 27 (12) ◽  
pp. 2679-2697
Author(s):  
Lyudmila E. ROMANOVA ◽  
Anna L. SABININA ◽  
Andrei I. CHUKANOV ◽  
Dar’ya M. KORSHUNOVA
Keyword(s):  
Systems Approach ◽  
Mortgage Lending ◽  
Effective Algorithm ◽  
Russian Regions ◽  
Local Conditions ◽  
Partitioning Around Medoids ◽  
Analysis And Synthesis ◽  
The Russian Federation ◽  
The Impact ◽  
Regions Of Russia

Subject. This article deals with the particularities of the development of housing mortgage lending in the regions of Russia. Objectives. The article aims to substantiate the need for clustering of territorial entities by level of development of mortgage housing lending in Russia and test the most effective algorithm for mortgage clustering of regions. Methods. For the study, we used a systems approach, including scientific abstraction, analysis and synthesis, and statistical methods of data analysis. The algorithm k-medoids – Partitioning Around Medoids (PAM) was also used. Results. Based on the results of the study of regional statistics of the Russian Federation, the article reveals a significant asymmetry in the values of key socioeconomic indices that determine the level and dynamics of housing mortgages in the regions. This necessitates the clustering of territorial entities according to the level of development of mortgage housing lending in the country. To take into account the impact of various local conditions in assessing the prospects for the development of regional housing mortgages, the article proposes an indicator, namely, the integral regional mortgage affordability index. On its basis, in accordance with the selected clustering procedure, the article identifies five mortgage clusters in Russia and identifies their representative regions. Conclusions. Based on the analysis of the specificity of the development of regional mortgages in the Tula Oblast, taking into account the implementation of the target State programme, the article concludes that it is necessary to improve the mechanisms for financing regional mortgage programmes and justifies the need to develop differentiated programmes for the development of housing mortgages in groups of Russian regions.

Bankruptcy filings, flooding, real estate prices and Leading Index

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Billie Ann Brotman
Keyword(s):  
Housing Prices ◽  
The United States ◽  
Flood Insurance ◽  
Single Family ◽  
Personal Bankruptcy ◽  
Content Type ◽  
Independent Variables ◽  
Flooding Event ◽  
Flooding Events ◽  
The Impact

PurposeFlood damage to uninsured single-family homes shifts the entire burden of costly repairs onto the homeowner. Homeowners in the United States and in much of Europe can purchase flood insurance. The Netherlands and Asian countries generally do not offer flood insurance protection to homeowners. Uninsured households incur the entire cost of repairing/replacing properties damaged due to flooding. Homeowners’ policies do not cover damage caused by flooding. The paper examines the link between personal bankruptcy and the severity of flooding events, property prices and financial condition levels.Design/methodology/approachA fully modified ordinary least squares (FMOLS) regression model is developed which uses personal bankruptcy filings as its dependent variable during the years 2000 through 2018. This time-series model considers the association between personal bankruptcy court filings and costly, widespread flooding events. Independent variables were selected that potentially act as mitigating factors reducing bankruptcy filings.FindingsThe FMOLS regression results found a significant, positive association between flooding events and the total number of personal bankruptcy filings. Higher flooding costs were associated with higher bankruptcy filings. The Home Price Index is inversely related to the bankruptcy dependent variable. The R-squared results indicate that 0.65% of the movement in the dependent variable personal bankruptcy filings is explained by the severity of a flooding event and other independent variables.Research limitations/implicationsThe severity of the flooding event is measured using dollar losses incurred by the National Flood Insurance program. A macro-case study was undertaken, but the research results would have been enhanced by examining local areas and demographic factors that may have made bankruptcy filing following a flooding event more or less likely.Practical implicationsThe paper considers the impact of the natural disaster flooding on bankruptcy rates filings. The findings may have implications for multi-family properties as well as single-family housing. Purchasing flood insurance generally mitigates the likelihood of severe financial risk to the property owner.Social implicationsNatural flood insurance is underwritten by the federal government and/or by private insurers. The financial health of private property insurers that underwrite flooding and their ability to meet losses incurred needs to be carefully scrutinized by the insured.Originality/valuePrior studies analyzing the linkages existing between housing prices, natural disasters and bankruptcy used descriptive data, mostly percentages, when considering this association. The study herein posits the same questions as these prior studies but used regression analysis to analyze the linkages. The methodology enables additional independent variables to be added to the analysis.

NEGATIVE INFLUENCE OF MORTGAGE LOANS ON THE DEMOGRAPHIC SITUATION IN RUSSIA

2021 ◽  
Author(s):  
A.V. Velegurov ◽  
◽  
V.S. Istomin ◽  
Keyword(s):  
Birth Rate ◽  
Negative Influence ◽  
Mortgage Lending ◽  
Mortgage Loans ◽  
Demographic Situation ◽  
The Impact

The article examines the problem of fertility in Russia, the impact of mortgage lending on it, as well as methods of influence to stabilize the birth rate

The Impact of Personal Bankruptcy Law on Entrepreneurship

2010 ◽  
Author(s):  
Ye (George) Jia
Keyword(s):  
Bankruptcy Law ◽  
Personal Bankruptcy ◽  
The Impact

THE IMPACT OF CASINO GAMBLING ON PERSONAL BANKRUPTCY FILING RATES

2002 ◽  
Vol 20 (4) ◽  
pp. 440-455 ◽  
Author(s):  
John M. Barron ◽  
Michael E. Staten ◽  
Stephanie M. Wilshusen
Keyword(s):  
Casino Gambling ◽  
Personal Bankruptcy ◽  
The Impact

Information, Neighborhood Characteristics, and Home Mortgage Lending

2001 ◽  
Vol 49 (2) ◽  
pp. 337-355 ◽  
Author(s):  
Emily Y. Lin
Keyword(s):  
Mortgage Lending ◽  
Neighborhood Characteristics ◽  
Home Mortgage
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