Securitization Process

Author(s):  
Mark Ferguson ◽  
Joseph Mcbride ◽  
Kevin Tripp

The securitization process has become an essential tool that provides liquidity to firms and borrowers while opening up the breadth and depth of the capital markets to previously underserved individuals and firms. Securitized products pool illiquid, idiosyncratic assets or contracts, turn those pools into claims (bonds) with a new capital structure with differing risk-return attributes, and sell those bonds to institutional investors. Securitization began in the housing market where single-family mortgages were pooled and sold to investors as mortgage-backed securities. The securitized market has increased in size and complexity to include many other asset classes such as commercial real estate loans in commercial mortgage-backed securities, student loans, credit card debt, auto leases, equipment leases, and aircraft leases in asset-backed securities. The purpose of this chapter is to describe the participants in and the general structure of securitizations.

Author(s):  
Massimo Guidolin ◽  
Manuela Pedio

This chapter investigates the mechanics of the origination process and the main characteristics of asset-backed securities (ABSs). In particular, it provides an overview of why and how unencumbered assets, such as loans, may be pooled into special legal entities, such as trusts, that are isolated from potential bankruptcy proceedings that may involve the issuer of the assets. The discussion also explores the cash flow structures that are typical of securitization as applied to ABSs. Special attention is given to the role played by the rating process in determining the value of ABSs and hence to credit enhancement mechanisms and the typical rules of allocation of default losses. The second part of the chapter is devoted to a detailed analysis of the key features of the most important categories of ABSs, namely, auto loans and leases, credit card receivables, student loans, and residential ABSs.


2003 ◽  
Vol 6 (4) ◽  
pp. 744-764 ◽  
Author(s):  
A Saayman ◽  
P Styger

While American investors have been able to buy mortgage-backed securities  since the late 1970s and asset-backed securities since the mid-1980s, investors  in South Africa have not become involved in this growing market.  Securitisation also spread to Europe, South America, Asia and Australia during  the 1980s. The first securitisation in South Africa was completed in 1989, but  since then only a few securitised products have been offered to the investment  community. The aim of this article is to investigate the reasons for the lack of  growth in securitisation in South Africa and to determine whether securitisation  will grow to be a significant market in South Africa. The methodology used  includes interviews held with investors, securitisation specialists and other  structured finance specialists from the banking community. Experience from  other countries is noted and included in this article


2013 ◽  
Vol 1 (1) ◽  
pp. 132 ◽  
Author(s):  
Jill M. Norvilitis ◽  
Wesley Mendes-Da-Silva

Although research on credit card debt in developed countries has identified predictors of debt among<br />college students, it is unknown whether these same predictors apply in emerging markets, such as<br />Brazil. To examine this issue, a total of 1257 college students, 814 from Brazil and 443 from the United<br />States, participated in a study exploring the utility of a theory of planned behavior as a predictor of<br />credit card debtand student loans among college students, as well as perceived financial well-being.<br />Compared to the Brazilian participants, the American sample was more financially self-confident,<br />reported better financial well-being, and was more likely to believe that credit cards are negative.<br />Similar predictors of financial well-being emerged in the samples. Specifically, parenting practices<br />related to money and better self-reported delay of gratification are related to more positive financial<br />attitudes and lower levels of debt. Although the debt to income ratio among card holders was similar,<br />Brazilian students held more credit cards than American students. Greater delay of gratification was<br />related to lower levels of student loans in the United States, but there were no significant predictors of<br />student loans in Brazil.


2019 ◽  
pp. 108705471988744
Author(s):  
Jill M. Norvilitis ◽  
Braden K. Linn ◽  
Michelle M. Merwin

Objective: Although there is research that indicates financial difficulties among adults with ADHD, little research has examined financial well-being among college students with ADHD. Method: The present study explored the relationships between symptoms of ADHD and credit card and student loan debt, expected student loan debt, perceived financial well-being, worries about student loans, and financial strain behaviors among 612 college students at two public universities in different states. Results: Results indicated that students with more symptoms of ADHD reported lower perceived financial well-being, but there was no relationship between symptomatology and credit card and student loan debt or expected student loan debt. Conclusion: These results highlight the opportunity for interventions to address current perceived financial well-being and to prevent future financial concerns.


2015 ◽  
Vol 2 (1) ◽  
Author(s):  
Samyabrata Das

Since the opening up of the economy in the early 1990s, Indian mutual fund industry has witnessed fabulous quantitative growth. Funds which invest a larger proportion of their corpus in companies with large market capitalization are called large cap funds. Actively managed funds make use of a human element, such as a single manager, comanagers or a team of managers, to actively manage a fund's portfolio. The main objective of the study is to analyse the performance of select actively managed large cap equity funds in the line of risk-return parameters. This study is based on fourteen funds from twelve Asset Management Companies. All the funds are ranked under seven performance measures, namely, fund return, fund standard deviation, Sharpe Ratio, Treynor Ratio, return from systematic investment plan (SIP), Jensen Alpha, and RSQ, for five different time periods of 1-year, 3-year, 5-year, 7-year, and 10-year.


Author(s):  
Kristina M. Currans ◽  
Arthur C. Nelson ◽  
Sam Chambers

Traditional methods for evaluating transportation system investments typically rely heavily on one or two metrics of evaluations, such as vehicle travel time delay and level-of-service measures. Transportation projects often have substantial and significant impacts on many other aspects of society, including the economic vitality of our communities. The focus of this study was a practical one: operationalize a vast literature exploring the theories and findings that describe positive and negative economic impacts of transportation investments, in this case focused on the impacts on real estate value. It was completed with sponsorship from Smart Growth America to develop a pilot application for Washington DOT. The framework described in this manuscript allows analysts to estimate and compare changes in real estate value, and therefore changes in economic vitality, resulting from different investment decisions. The economic impacts estimated in change in U.S. dollar value of single-family residential, multifamily residential, and commercial real estate can be used in combination with other performance measures (e.g., travel time savings, environmental impacts) to evaluate a more comprehensive picture of the impacts of transportation infrastructure. Because this framework was spatially developed, the analyst will be able to more readily identify which neighborhoods and corresponding populations may see the largest impacts on the cost of housing resulting from specific transportation projects. This, in combination with housing expertise and tools developed to understand the displacement of vulnerable populations, could also help agencies anticipate where there would be increased pressure in relation to cost of housing caused by specific transportation projects.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ken B. Cyree

PurposeThis study investigates the relation of bank loan delinquencies to Fed Survey delinquency data from 2003 to 2017. Bank-generated loans have lower delinquencies than all Fed Survey loan types. Survey mortgage and auto loan delinquencies are positively related to bank loan delinquencies indicating complimentary delinquency decisions for borrowers. Conversely, student loans delinquencies are negatively related to bank loans, consistent with borrowers substituting student loan payments for bank debt for the entire sample period. Student loan delinquencies are negatively related to per-capita bankruptcy, and all other types of debt have a positive relation. The relation between Fed Survey loan delinquencies and bank-generated loan delinquencies is time varying and changed after the financial crisis in 2008.Design/methodology/approachSeemingly Unrelated Regression is used to study delinquencies for three bank loan types and whether or not they are related to Fed Survey loan delinquencies. The sample is split into pre-financial crisis before 2008 and post-crisis after 2008.FindingsSeemingly Unrelated Regression (SUR) results show that bank delinquencies for second mortgages and “Other” loan types are consistently complementary to Fed Survey mortgage loan delinquencies. Fed Survey auto loans delinquencies are also consistent with a complimentary relation, and these results are largely driven by the relation after the financial crisis of 2008 since pre-crisis regression results are not significant for every dependent variable. Credit card loan delinquencies have a negative and substitute relation with bank-generated first mortgage loan delinquencies prior to the crisis in 2008, and with bank-generated second mortgages after the crisis. Conversely, student loan delinquencies from the Fed Survey are negatively and significantly related to bank mortgages for the entire sample period, but only with bank-generated first mortgages after 2008. The student loan delinquency results are consistent with income smoothing, on average, although this is not explicitly tested at the micro level since this study uses macro-level data and not borrower-specific data. These findings are also consistent with conventional wisdom that student loans provide “financial slack” and borrower flexibility.Research limitations/implicationsA limiting factor is this study uses macro-level data and not borrower-specific data.Practical implicationsEmpirical findings are consistent with prior research that student loans provide income smoothing and “financial slack,” and borrowers with payment challenges will pay other debt before student loans.Social implicationsBorrowers in financial trouble tend to be delinquent for all debt, and more so for student debt.Originality/valueTo investigate whether Fed Survey delinquencies of auto loans, first mortgages, student loans and credit card loans from all sources have complementary or substitution effects with bank debt at a macro level. The study investigates whether bank debt follows “market trends” as a complementary effect, or if bank debt has a negative relation to other debt indicating a substitution effect.


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