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The Econometrics of Individual Risk: Credit, Insurance, and Marketing

Read the Privacy Policy to learn how this information is used. In this reissued book, the authors explore credit risk from four distinct quantitative perspectives—the occurrence, frequency, timing, and severity of a loss—and focus on the core econometric techniques for measuring each aspect. Given the industry failings associated with the recent global financial crisis, it is more important than ever for financial analysts to understand the mechanics of quantitative risk tools.

The direction of credit research has changed significantly during the past decade—from a classic accounting and finance framework to an emphasis on quantitative analysis of default and loss probabilities. Although the old ways of firm-specific analysis remain helpful, they are no longer foundational for successful measurement, integration, and aggregation of pooled credit risks in a portfolio.

The growth in structured products and derivatives requires greater understanding of the mechanics of pricing credit risk.

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Whether through the bundled credit risks found within mortgage pools and asset-backed securities or through analyzing credit default swaps and credit products, measuring conditional probabilities based on scoring and segmentation is essential to credit research. Basel III and other regulatory constructs centered on risk categorizations make quantitative credit risk measurement an even more critical part of the financial landscape. The educational tools available to understand credit risk measurement have not kept pace with structural advancements. A knowledge gap exists between the traditional credit analyst and the credit quant who uses advanced econometrics to measure and price risk.

For professionals who want to learn the pertinent quantitative techniques, the various strains of econometrics associated with credit risk analysis are not often available in one book.


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Originally published in , this book may be even more pertinent today, given the intervening advances in credit structuring dynamics, the continued growth of consumer lending, and the absence of any competing short text that explores these issues together. Pricing risk based on measurable characteristics or covariates is fundamental to all banking, mortgage, and consumer loan scoring, as well as to the bundling of any credit portfolio.

The authors explore credit risk from four distinct quantitative perspectives, each requiring its own econometric tool: the occurrence, frequency, timing, and severity of a loss.

The Econometrics of Individual Risk focuses on the core econometric techniques for measuring each aspect. Relying on scores and statistics without knowing how they were generated, however, may have contributed to the gross risk management failures during the financial crisis.

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The Econometrics of Individual Risk: Credit, Insurance, and Marketing (a review)

Would key senior executives or investors have taken on the same mortgage exposures if they were truly familiar with how risks were measured for subprime pools? The sophistication necessary to apply these techniques may be beyond the statistics expertise of the typical CFA charterholder, but a working knowledge of quantitative credit analysis has become critical for success in the credit asset class.

Evaluating quantitative assessments of credit risk may be too important to be left to the quants. Only through familiarity with these econometric intricacies can analysts appreciate both the value and limits of credit scoring and pricing. Christian Gourieroux of the University of Toronto and Joann Jasiak of York University, Toronto, have written a cogent monograph on the econometrics of risk that presents the theory along with examples of its practical application. It is an econometrics book and not a how-to manual on credit scoring, however, so the important foundational concepts are handled succinctly, allowing the authors to focus on practicality.

Each chapter presents a different credit problem along with descriptions of how to use the relevant econometric methods. The examples would benefit, however, from additional detail on exactly how a credit analyst can apply the models. Although theory and foundations are important, practitioners must understand how to use these techniques.

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With usual stamps and markings, In good all round condition. Dust Jacket in good condition. Princeton University Press. Used - Good.

[PDF] The Econometrics of Individual Risk: Credit Insurance and Marketing Read Full Ebook

Former Library book. Shows some signs of wear, and may have some markings on the inside. Ships with Tracking Number! May not contain Access Codes or Supplements. May be ex-library. Buy with confidence, excellent customer service! In good all round condition.


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