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Essays On Consumer Portfolio And Credit Risk
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Book Synopsis Essays on Consumer Portfolio and Credit Risk by : Tingting Ji
Download or read book Essays on Consumer Portfolio and Credit Risk written by Tingting Ji and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: Three essays comprise this dissertation. The first essay uses panel data to show that labor income risk alone cannot explain limited stock market participation. However, transaction costs and household demographics, considered jointly, can determine both the discrete choice of whether to hold stock and the amount held, conditional on whether the household is already investing in the stock market. Transaction costs are proxied by state-level number of brokers per capita. The second essay builds on the first essay. I measure two different covariance terms. One is between self-evaluated house value and uninsurable labor income risk. The other is between housing investment return and stock return. The results show that homeownership has a diversification effect on stock holdings. This effect occurs because adding a house to the household portfolio can significantly decrease the overall risk of the portfolio. The last essay empirically shows that unemployment is significant in determining both consumer bankruptcy filings and delinquency even after controlling for household demographics. Furthermore, I show that unemployment and the debt/wealth ratio also affect the choice of whether to file for bankruptcy under chapter 7 or chapter 13, after controlling for demographics. The paper then points out some of the implications the empirical results have for policy-makers and banking regulators.
Book Synopsis Essays in Portfolio Credit Risk by : Zhen Wu
Download or read book Essays in Portfolio Credit Risk written by Zhen Wu and published by . This book was released on 2007 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis addresses several problems in credit risk. We first consider an estimation problem for a dynamic default model with discrete market observations. In the dynamic model, all the marginal defaults follow intensity based models, and default barriers are linked by a copula function; in this manner individual defaults are modeled separately from joint defaults. Our estimation procedure leverages off of this structure: in the first step we estimate the parameters of default rates; and in the second step we estimate the parameters of the copula function. The second problem we discuss in this thesis is the formulation of dynamic joint default models. In our models obligors may belong to different seniority classes and defaults can happen any time before maturity. We derive asymptotes for the probability of large default losses in a heterogeneous credit portfolio. To improve estimation accuracy of the probability of large losses in moderate sized portfolios, we develop importance sampling methods to estimate these probabilities by Monte Carlo simulation. Given the dynamic nature of the default models, the simulation of rare events relies on efficiently simulating the entire path of the modeling dynamics. This introduces further numerical errors and simulation "noise". To circumvent this issue we propose to simulate simpler events, related to upper and lower bounds on the tail probability. This leads to biased importance sampling estimators for the original tail probability. We then extend several concepts in standard (unbiased) importance sampling methods to the biased case. The final problem concerns managing portfolio credit risk for one of our proposed dynamic models. We formulate two portfolio selection problems and solve them using asymptotic analysis and importance sampling based simulation methods derived earlier.
Book Synopsis Essays on Bank Lending by : Charlotte Ostergaard
Download or read book Essays on Bank Lending written by Charlotte Ostergaard and published by . This book was released on 1998 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Essays on Consumer Credit Markets by : Mark William Jenkins
Download or read book Essays on Consumer Credit Markets written by Mark William Jenkins and published by Stanford University. This book was released on 2009 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation studies the organization of consumer credit markets using a rich and novel dataset from a large subprime auto lender. Its primary goal is to develop empirical methods for analyzing markets with asymmetric information and to use these methods to better understand the behavior of subprime borrowers and lenders. The first chapter quantifies the importance of adverse selection and moral hazard in the subprime auto loan market and shows how different loan contract terms serve to mitigate these distinct information problems. The second chapter examines the impact of centralized credit scoring on lending outcomes, including the distribution of performance across dealerships within the firm. The third chapter studies borrower repayment behavior and quantifies the impact of ex post moral hazard on interest rates and the costs of default. Collectively, the three chapters provide a better understanding of the functioning of markets for subprime credit in the U.S. They also provide unique empirical evidence on the importance of asymmetric information and the value of screening, monitoring, and contract design in consumer credit markets in general.
Book Synopsis Essays on Portfolio Credit Risk by : Gabriele Visentin
Download or read book Essays on Portfolio Credit Risk written by Gabriele Visentin and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Consumer Credit Models by : Lyn C. Thomas
Download or read book Consumer Credit Models written by Lyn C. Thomas and published by OUP Oxford. This book was released on 2009-01-29 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of credit scoring - the quantitative and statistical techniques to assess the credit risks involved in lending to consumers - has been one of the most successful if unsung applications of mathematics in business for the last fifty years. Now with lenders changing their objectives from minimising defaults to maximising profits, the saturation of the consumer credit market allowing borrowers to be more discriminating in their choice of which loans, mortgages and credit cards to use, and the Basel Accord banking regulations raising the profile of credit scoring within banks there are a number of challenges that require new models that use credit scores as inputs and extensions of the ideas in credit scoring. This book reviews the current methodology and measures used in credit scoring and then looks at the models that can be used to address these new challenges. The first chapter describes what a credit score is and how a scorecard is built which gives credit scores and models how the score is used in the lending decision. The second chapter describes the different ways the quality of a scorecard can be measured and points out how some of these measure the discrimination of the score, some the probability prediction of the score, and some the categorical predictions that are made using the score. The remaining three chapters address how to use risk and response scoring to model the new problems in consumer lending. Chapter three looks at models that assist in deciding how to vary the loan terms made to different potential borrowers depending on their individual characteristics. Risk based pricing is the most common approach being introduced. Chapter four describes how one can use Markov chains and survival analysis to model the dynamics of a borrower's repayment and ordering behaviour . These models allow one to make decisions that maximise the profitability of the borrower to the lender and can be considered as part of a customer relationship management strategy. The last chapter looks at how the new banking regulations in the Basel Accord apply to consumer lending. It develops models that show how they will change the operating decisions used in consumer lending and how their need for stress testing requires the development of new models to assess the credit risk of portfolios of consumer loans rather than a models of the credit risks of individual loans.
Book Synopsis Essays on Credit Risk and Portfolio Choice by : Oussama Chakroun
Download or read book Essays on Credit Risk and Portfolio Choice written by Oussama Chakroun and published by . This book was released on 2008 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Three Essays in Portfolio Management and Credit Risk by : Andriy Demchuk
Download or read book Three Essays in Portfolio Management and Credit Risk written by Andriy Demchuk and published by . This book was released on 2003 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Essays on Continuous-time Portfolio Optimization and Credit Risk by : Björn Bick
Download or read book Essays on Continuous-time Portfolio Optimization and Credit Risk written by Björn Bick and published by . This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Essays on Credit Risk written by and published by . This book was released on 2007 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Portfolio Risk Analysis by : Gregory Connor
Download or read book Portfolio Risk Analysis written by Gregory Connor and published by Princeton University Press. This book was released on 2010-03-15 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Portfolio risk forecasting has been and continues to be an active research field for both academics and practitioners. Almost all institutional investment management firms use quantitative models for their portfolio forecasting, and researchers have explored models' econometric foundations, relative performance, and implications for capital market behavior and asset pricing equilibrium. Portfolio Risk Analysis provides an insightful and thorough overview of financial risk modeling, with an emphasis on practical applications, empirical reality, and historical perspective. Beginning with mean-variance analysis and the capital asset pricing model, the authors give a comprehensive and detailed account of factor models, which are the key to successful risk analysis in every economic climate. Topics range from the relative merits of fundamental, statistical, and macroeconomic models, to GARCH and other time series models, to the properties of the VIX volatility index. The book covers both mainstream and alternative asset classes, and includes in-depth treatments of model integration and evaluation. Credit and liquidity risk and the uncertainty of extreme events are examined in an intuitive and rigorous way. An extensive literature review accompanies each topic. The authors complement basic modeling techniques with references to applications, empirical studies, and advanced mathematical texts. This book is essential for financial practitioners, researchers, scholars, and students who want to understand the nature of financial markets or work toward improving them.
Download or read book Loan Portfolio Management written by and published by . This book was released on 1988 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Essays on Credit Risk by : Yongjun Tang
Download or read book Essays on Credit Risk written by Yongjun Tang and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Dissertation Abstracts International by :
Download or read book Dissertation Abstracts International written by and published by . This book was released on 2009-06 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Essays on Nonparametric Econometrics with Applications to Consumer and Financial Economics by : Yi Zheng
Download or read book Essays on Nonparametric Econometrics with Applications to Consumer and Financial Economics written by Yi Zheng and published by . This book was released on 2008 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: This dissertation is composed of three chapters centering on nonparametric econometrics with applications to consumer demand system analysis, value-at-risk analysis of commodity future prices, and credit risk analysis of home mortgage portfolios. The first chapter, based on my joint research with Abdoul Sam considers a semiparametric estimation model for a censored consumer demand system with micro data. A common attribute of disaggregated household data is the censoring of commodities. Maximum likelihood and existing two-step estimators of censored demand systems yield biased and inconsistent estimates when the assumed joint distribution of the disturbances is incorrect. This essay proposes a semiparametric estimator that retains the computational advantage of the two-step methods while circumventing their potential distributional misspecification. The key difference between the proposed estimator and existing two-step counterparts is that the parameters of the binary censoring equations are estimated using a distribution-free single-index model. We implement the proposed estimator using household-level data obtained from the Hainan province in China. Horrowitz and Härdle (1994)'s specification test lends support to our approach. The second chapter is an empirical application of a nonparametric estimator of Value-at-Risk on the cattle feeding margin. Value-at-Risk, known as VaR is a common measure of downside market risk associated with an asset or a portfolio of assets. It has been used as a standard tool of predicting potential portfolio losses for twenty years in the financial industry. Recently VaR has gained popularity in agricultural economics literature since the market price risks associated with agricultural commodities are under evaluation. As initial empirical findings suggest that the performance of any VaR estimation technique is sensitive to the types of data set (portfolio composition) used in developing and evaluating the estimates, agricultural data provides a unique laboratory to further explore VaR and its estimation approaches. This essay as a first attempt applies a distribution-free nonparametric kernel estimator of VaR in an agricultural context, the cattle feeding margin using futures data. The empirical results suggest that the nonparametric VaR estimates enjoy a significant efficiency gain without losing much accuracy compared to the parametric estimates. The third chapter measures credit risks associated with residential mortgage loans. Credit risk is the primary source of risk for real estate lenders. Recent advancements in the measurement and management of credit risk give lenders with sophisticated internal risk models a significant comparative advantage over other lenders in terms of capital optimization and risk controlling. This manuscript helps understand the determinants of credit risk and acquire perspectives on how it is distributed in the current or future loan portfolios. This essay contributes to the existing volume of literature as it incorporates the nonparametric estimation technique into default risk analysis. The CreditRisk model is modified and estimated using the consumer side of information. The model identifies the factors determining household default risks and generates a full loan loss distribution at the portfolio level using consumer finance survey data. In the end, portfolio management strategies are discussed.
Book Synopsis Credit Risk Analytics by : Bart Baesens
Download or read book Credit Risk Analytics written by Bart Baesens and published by John Wiley & Sons. This book was released on 2016-10-03 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: The long-awaited, comprehensive guide to practical credit risk modeling Credit Risk Analytics provides a targeted training guide for risk managers looking to efficiently build or validate in-house models for credit risk management. Combining theory with practice, this book walks you through the fundamentals of credit risk management and shows you how to implement these concepts using the SAS credit risk management program, with helpful code provided. Coverage includes data analysis and preprocessing, credit scoring; PD and LGD estimation and forecasting, low default portfolios, correlation modeling and estimation, validation, implementation of prudential regulation, stress testing of existing modeling concepts, and more, to provide a one-stop tutorial and reference for credit risk analytics. The companion website offers examples of both real and simulated credit portfolio data to help you more easily implement the concepts discussed, and the expert author team provides practical insight on this real-world intersection of finance, statistics, and analytics. SAS is the preferred software for credit risk modeling due to its functionality and ability to process large amounts of data. This book shows you how to exploit the capabilities of this high-powered package to create clean, accurate credit risk management models. Understand the general concepts of credit risk management Validate and stress-test existing models Access working examples based on both real and simulated data Learn useful code for implementing and validating models in SAS Despite the high demand for in-house models, there is little comprehensive training available; practitioners are left to comb through piece-meal resources, executive training courses, and consultancies to cobble together the information they need. This book ends the search by providing a comprehensive, focused resource backed by expert guidance. Credit Risk Analytics is the reference every risk manager needs to streamline the modeling process.
Book Synopsis Essays on Credit Risk by : Marc Arnold
Download or read book Essays on Credit Risk written by Marc Arnold and published by . This book was released on 2011 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt:
