Thesis (M.B.A.)--University of Hong Kong, 1997. / Includes bibliographical references (leaf 54-55).

Thesis (M. Sc.)--University of Hong Kong, 1990.

Despite being governed by several laws aimed at preventing racial inequality in access to housing and credit resources, the mortgage lending market remains a contributor to racial and place-based disparities in homeownership rates, wealth, and access to high-quality community resources. Scholarship has identified persistent disparities in mortgage loan approval rates and subprime lending between white borrowers and those from other racial and ethnic groups, and between white neighborhoods and neighborhoods with high levels of non-white residents. Against this backdrop, the mortgage lending industry is undergoing rapid, technology-driven changes in risk assessment and application processing. Traditional borrower risk-assessment methods including face-to-face discussions between lenders and applicants and the prominent use of FICO credit scores have been replaced or supplemented by automated decision-making tools at a new generation of institutions known as fintech lenders. Little is known about the relationship between lenders using these new tools and the racial and spatial disparities that have long defined the wider mortgage market. Given the well-documented history of discrimination in lending along with findings of technology-driven racial inequality in other economic sectors, fintech lending’s potential for racial discrimination warrants increased scrutiny. This dissertation compares the lending outcomes of traditional and fintech mortgage lenders in the United States depending on applicant and neighborhood racial characteristics. Using data from the Home Mortgage Disclosure Act, an original dataset classifying lenders as fintech or traditional, and an array of complimentary administrative data sources, it provides an assessment of the salience of race and place in the rates at which mortgage loans from each lender type are approved and assigned subprime terms. Results from a series of regression-based quantitative analyses suggest fintech mortgage lenders, like traditional mortgage lenders, approve and deny loans and distribute subprime credit at disparate rates to white borrowers and neighborhoods relative to nonwhite borrowers and neighborhoods. Findings suggest that policymakers and regulators must increase their oversight of fintech lenders, ensuring that further advances in lending technology do not concretize longstanding racial and spatial disparities.

Per paskutinį dešimtmetį Baltijos šalys išgyveno pilną ekonomikos ciklą - lėtą atsigavimą, spartų augimą ir staigų kritimą. Itin sparčiai vystėsi būsto paskolų ir nekilnojamojo turto rinka, todėl jau 2007 - 2008 metais buvo svarstoma dėl nekilnojamojo turto rinkos perkaitimo, nors dauguma gyventojų vis dar džiaugėsi galimybe be didesnių kliūčių gauti kreditą brangstančio būsto įsigijimui. Būgštavimai dėl ekonomikos ir jos atskirų sektorių perkaitimo buvo pagrįsti – Baltijos šalių ekonomikos 2009 m. smuko daugiausiai tarp visų ES valstybių. Taigi, įvykus nekilnojamojo turto sektoriaus ir būsto paskolų rinkos pakilimui bei nuosmukiui, galima ištirti būsto paskolų portfelį viso ekonominio ciklo periodu. Įvardinus veiksnius, labiausiai įtakojančius būsto paskolų portfelio augimą, būtų galima juos stebėti, bandyti pakeisti, ir taip ateityje išvengti potencialios ekonominės krizės arba sušvelninti galimus neigiamus ekonominio nuosmukio padarinius. Darbo tyrimo tikslas – ištirti makroekonominius veiksnius, darančius poveikį Lietuvos, Latvijos ir Estijos šalių būsto paskolų portfelio dinamikai. Darbo objektas yra Baltijos šalių būsto paskolų portfelis ir jį įtakojantys makroekonominiai veiksniai. Siekiant užsibrėžto tikslo, yra sprendžiami uždaviniai: 1) Išnagrinėti ekonominėje literatūroje pateikiamus modelius, tiriančius būsto paskolų portfelį. 2) Apibrėžti makroekonominius veiksnius, įtakojančius būsto paskolų portfelį. 3) Išanalizuoti būsto paskolų portfelio pokyčius Baltijos... [toliau žr. visą tekstą] / During the last decade Baltic countries experienced a full economic cycle – slow recovery, fast growth and sharp deterioration of whole economy. On the growth period the portfolio of mortgage loans and real estate market developed extremely rapidly, thus, since 2007 - 2008 there was discussions about the overheating of economies and bubbles of the real estate prices in the Baltic countries. However, the majority of the citizens were still taking advantage of easy accessible mortgage loans for the acquisition of desired real estate even prices were going upwards. Unfortunately, doubts about overheating of the separate parts of economies were reasonable and economies of the Baltic countries contracted the most among all EU. Therefore, with a full picture of economic cycle the analysis of portfolio of mortgage loans is being developed. Identification of the main factors that are determining growth of the portfolio of mortgage loans is important for developing a strategy to avoid possible economic crises in the future or to ease the negative effects of economic downturn. The aim of the paper – to find out the most important macroeconomic factors that are determining the dynamic of mortgage portfolio in Lithuania, Latvia and Estonia. The object of the paper – the mortgage portfolio of the three Baltic countries and macroeconomic factors of the mortgage portfolio. To reach the aim of the paper such tasks were developed: 1) Examine the theory and the models that are analyzing the... [to full text]

Research report submitted to the Department of Building, University of the Witwatersrand in partial fulfiment of the degree MSc (Building) by Course Work / The objective of this report is to investigate certain structural imbalances in the South African financial system to assess if the technique of' mortgage securitization may serve to alleviate deficiencies in the provision of housing finance as well as prerequisite in creating a secondary mortgage market in South Africa. (Abbreviation abstract ) / Andrew Chakane 2018

This dissertation centers on the role of adverse shocks to household balance sheets in understanding consumer default behavior. The first chapter studies the role of foreclosure contagion: the role of proximate foreclosures in causally triggering other nearby residential defaults and foreclosures. I find that foreclosure activity causally increases nearby rates of consumer defaults. This paper uses an instrument further examined in the second essay which analyzes the role for adverse selection and moral hazard in mortgage markets; using as a distinction the initial and post-reset interest rates paid on Adjustable-Rate Mortgage contracts. The final essay analyzes the role for cancer diagnosis shocks on household default behavior.

Man Po Kong = 信貸相聯票據和住宅按揭的預期損失之估值 / 文普綱. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2004. / Includes bibliographical references (leaves 85-86). / Text in English; abstracts in English and Chinese. / Man Po Kong = Xin dai xiang lian piao ju he zhu zhai an jie de yu qi sun shi zhi gu zhi / Wen Pugang. / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- The Structural model --- p.3 / Chapter 2.1 --- Merton's model --- p.3 / Chapter 2.2 --- The term structure of interest rate --- p.7 / Chapter 2.3 --- The default-triggering mechanism and derivations from strict priority rule --- p.9 / Chapter 2.4 --- Stationary leverage ratio --- p.11 / Chapter 2.5 --- The three-factor structural model --- p.12 / Chapter 3 --- Credit-linked Notes with early default risk --- p.18 / Chapter 3.1 --- Introduction to credit-linked notes --- p.18 / Chapter 3.2 --- The pricing of credit-linked notes --- p.20 / Chapter 3.3 --- Non mean-reverting leverage ratios --- p.21 / Chapter 3.3.1 --- Special case (pQv=0) --- p.23 / Chapter 3.4 --- Mean reverting leverage ratios --- p.25 / Chapter 4 --- Numerical results and discussion --- p.28 / Chapter 4.1 --- Exact solution (KQ=kv=PQv=PVr=0) --- p.31 / Chapter 4.2 --- "Lower bound approximation (kQ,kv≠0,pQr,pvr≠0)" --- p.37 / Chapter 4.2.1 --- Effect of interest rate --- p.43 / Chapter 4.3 --- Monte Carlo simulation (PQV≠0) --- p.47 / Chapter 5 --- Expected loss of residential mortgage loans --- p.56 / Chapter 5.1 --- Introduction to residential mortgage loans --- p.56 / Chapter 5.2 --- Calculation of expected loss of residential mortgage loans --- p.59 / Chapter 6 --- Numerical results and discussion --- p.65 / Chapter 6.1 --- Numerical results --- p.65 / Chapter 7 --- Conclusion --- p.73 / Chapter A --- Methodology --- p.75 / Chapter A.1 --- Monte Carlo Simulation --- p.76 / Chapter A.2 --- Finding lower and upper bound approach --- p.79 / Chapter A.2.1 --- Single stage approximation --- p.79 / Chapter A.2.2 --- Multistage lower bound approximation --- p.82 / Bibliography --- p.85

The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract, appears in the public.pdf file. Title from PDF of title page (University of Missouri--Columbia, viewed on March 19, 2010). Thesis advisor: Dr. Charles Davis. Includes bibliographical references.

Thesis (Ph. D.)--University of California, San Diego, 2001. / Vita. Includes bibliographical references (leaves 220-224).

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