Mortgage Valuation Models

Mortgage Valuation Models PDF

Author: Andrew S. Davidson

Publisher: Oxford University Press, USA

Published: 2014

Total Pages: 465

ISBN-13: 0199998167

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Valuation of mortgage-backed securities requires blending empirical analysis of borrower behavior and mathematical modeling of interest rates and home prices, with recognition of various prices of risk and uncertainty. This book offers a detailed description of the sophisticated theories and advanced methods used for the real-world valuation of MBS.

Mortgage Valuation Models

Mortgage Valuation Models PDF

Author: Andrew S. Davidson

Publisher:

Published: 2014

Total Pages: 453

ISBN-13: 9780199363698

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Valuation of mortgage-backed securities (MBS) requires blending empirical analysis of borrower behaviour and mathematical modelling of interest rates and home prices, with recognition of various prices of risk and uncertainty. This book offers a detailed description of the sophisticated theories and advanced methods used for the real-world valuation of MBS.

Investing in Mortgage-Backed and Asset-Backed Securities

Investing in Mortgage-Backed and Asset-Backed Securities PDF

Author: Glenn M. Schultz

Publisher: John Wiley & Sons

Published: 2016-01-19

Total Pages: 437

ISBN-13: 1119221501

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A complete guide to investing in and managing a portfolio of mortgage- and asset-backed securities Mortgage- and asset-backed securities are not as complex as they might seem. In fact, all of the information, financial models, and software needed to successfully invest in and manage a portfolio of these securities are available to the investment professional through open source software. Investing in Mortgage and Asset-Backed Securities + Website shows you how to achieve this goal. The book draws entirely on publicly available data and open source software to construct a complete analytic framework for investing in these securities. The analytic models used throughout the book either exist in the quantlib library, as an R package, or are programmed in R and incorporated into the analytic framework used. Examines the valuation of fixed-income securities—metrics, valuation framework, and return analysis Covers residential mortgage-backed securities—security cash flow, mortgage dollar roll, adjustable rate mortgages, and private label MBS Discusses prepayment modeling and the valuation of mortgage credit Presents mortgage-backed securities valuation techniques—pass-through valuation and interest rate models Engaging and informative, this book skillfully shows you how to build, rather than buy, models and proprietary analytical platforms that will allow you to invest in mortgage- and asset-backed securities.

Advances in Automated Valuation Modeling

Advances in Automated Valuation Modeling PDF

Author: Maurizio d'Amato

Publisher: Springer

Published: 2017-01-28

Total Pages: 435

ISBN-13: 3319497464

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This book addresses several problems related to automated valuation methodologies (AVM). Following the non-agency mortgage crisis, it offers a variety of approaches to improve the efficiency and quality of an automated valuation methodology (AVM) dealing with emerging problems and different contexts. Spatial issue, evolution of AVM standards, multilevel models, fuzzy and rough set applications and quantitative methods to define comparables are just some of the topics discussed.

Mortgage Default and Mortgage Valuation

Mortgage Default and Mortgage Valuation PDF

Author: John Krainer

Publisher: DIANE Publishing

Published: 2010-10

Total Pages: 45

ISBN-13: 143793384X

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The authors develop an equilibrium valuation model that incorporates optimal default to show how mortgage yields and lender recovery rates on defaulted mortgages depend on initial loan-to-value (LTV) ratios. The analysis treats both the frictionless case and the case in which borrowers and lenders incur deadweight costs upon default. The model is calibrated using data on California mortgages. Given reasonable parameter values, the model does a surprisingly good job fitting the risk premium in the data for high LTV mortgages. Thus, from an ex ante perspective, the authors do not find strong evidence of systematic underpricing of default risk in the run-up to the housing market crisis. Charts and tables.

Mortgage Valuation Models

Mortgage Valuation Models PDF

Author: Andrew Davidson

Publisher: Oxford University Press

Published: 2014-05-22

Total Pages: 465

ISBN-13: 0199363684

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Mortgage-backed securities (MBS) are among the most complex of all financial instruments. Analysis of MBS requires blending empirical analysis of borrower behavior with the mathematical modeling of interest rates and home prices. Over the past 25 years, Andrew Davidson and Alexander Levin have been at the leading edge of MBS valuation and risk analysis. Mortgage Valuation Models: Embedded Options, Risk, and Uncertainty contains a detailed description of the sophisticated theories and advanced methods that the authors employ in real-world analyses of mortgage-backed securities. Issues such as complexity, borrower options, uncertainty, and model risk play a central role in the authors' approach to the valuation of MBS. The coverage spans the range of mortgage products from loans and TBA (to-be-announced) pass-through securities to subordinate tranches of subprime-mortgage securitizations. With reference to the classical CAPM and APT, the book advocates extending the concept of risk-neutrality to modeling home prices and borrower options, well beyond interest rates. It describes valuation methods for both agency and non-agency MBS including pricing new loans; approaches to prudent risk measurement, ranking, and decomposition; and methods for modeling prepayments and defaults of borrowers. The authors also reveal quantitative causes of the 2007-09 financial crisis and provide insight into the future of the U.S. housing finance system and mortgage modeling as this field continues to evolve. This book will serve as a foundation for the future development of models for mortgage-backed securities.

An Empirical Test of a Two-factor Mortgage Valuation Model

An Empirical Test of a Two-factor Mortgage Valuation Model PDF

Author: Chris Downing

Publisher:

Published: 2003

Total Pages: 40

ISBN-13:

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Mortgage-backed securities, with their relative structural simplicity and their lack of recovery rate uncertainty if default occurs, are particularly suitable for developing and testing risky debt valuation models. In this paper, we develop a two-factor structural mortgage pricing model in which rational mortgage-holders endogenously choose when to prepay and default subject to i. explicit frictions (transaction costs) payable when terminating their mortgages, ii. exogenous background terminations, and iii. a credit-related impact of the loan-to-value ratio (LTV) on prepayment. We estimate the model using pool-level mortgage termination data for Freddie Mac Participation Certificates, and find that the effect of the house price factor on the results is both statistically and economically significant. Out-of-sample estimates of MBS prices produce option adjusted spreads of between 5 and 25 basis points, well within quoted values for these securities.

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