9781107070837-110707083X-Granularity Theory with Applications to Finance and Insurance (Themes in Modern Econometrics)

Granularity Theory with Applications to Finance and Insurance (Themes in Modern Econometrics)

ISBN-13: 9781107070837
ISBN-10: 110707083X
Author: Christian Gourieroux, Patrick Gagliardini
Publication date: 2014
Publisher: Cambridge University Press
Format: Hardcover 202 pages
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Book details

ISBN-13: 9781107070837
ISBN-10: 110707083X
Author: Christian Gourieroux, Patrick Gagliardini
Publication date: 2014
Publisher: Cambridge University Press
Format: Hardcover 202 pages

Summary

Granularity Theory with Applications to Finance and Insurance (Themes in Modern Econometrics) (ISBN-13: 9781107070837 and ISBN-10: 110707083X), written by authors Christian Gourieroux, Patrick Gagliardini, was published by Cambridge University Press in 2014. With an overall rating of 4.3 stars, it's a notable title among other Econometrics & Statistics (Economics, Finance) books. You can easily purchase or rent Granularity Theory with Applications to Finance and Insurance (Themes in Modern Econometrics) (Hardcover) from BooksRun, along with many other new and used Econometrics & Statistics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

The recent financial crisis has heightened the need for appropriate methodologies for managing and monitoring complex risks in financial markets. The measurement, management, and regulation of risks in portfolios composed of credits, credit derivatives, or life insurance contracts is difficult because of the nonlinearities of risk models, dependencies between individual risks, and the several thousands of contracts in large portfolios. The granularity principle was introduced in the Basel regulations for credit risk to solve these difficulties in computing capital reserves. In this book, authors Patrick Gagliardini and Christian Gouriéroux provide the first comprehensive overview of the granularity theory and illustrate its usefulness for a variety of problems related to risk analysis, statistical estimation, and derivative pricing in finance and insurance. They show how the granularity principle leads to analytical formulas for risk analysis that are simple to implement and accurate even when the portfolio size is large.

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