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Books > Business & Economics > Finance & accounting > Finance > Credit & credit institutions

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Semi-Markov Migration Models for Credit Risk (Hardcover) Loot Price: R3,720
Discovery Miles 37 200
Semi-Markov Migration Models for Credit Risk (Hardcover): G. D'Amico

Semi-Markov Migration Models for Credit Risk (Hardcover)

G. D'Amico

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Loot Price R3,720 Discovery Miles 37 200 | Repayment Terms: R349 pm x 12*

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Credit risk is one of the most important contemporary problems for banks and insurance companies. Indeed, for banks, more than forty percent of the equities are necessary to cover this risk. Though this problem is studied by large rating agencies with substantial economic, social and financial tools, building stochastic models is nevertheless necessary to complete this descriptive orientation. This book presents a complete presentation of such a category of models using homogeneous and non-homogeneous semi-Markov processes developed by the authors in several recent papers. This approach provides a good method of evaluating the default risk and the classical VaR indicators used for Solvency II and Basel III governance rules. This book is the first to present a complete semi-Markov treatment of credit risk while also insisting on the practical use of the models presented here, including numerical aspects, so that this book is not only useful for scientific research but also to managers working in this field for banks, insurance companies, pension funds and other financial institutions.

General

Imprint: Iste Ltd And John Wiley & Sons Inc
Country of origin: United Kingdom
Release date: May 2017
Authors: G. D'Amico
Dimensions: 243 x 168 x 22mm (L x W x T)
Format: Hardcover - Cloth over boards
Pages: 316
ISBN-13: 978-1-84821-905-2
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Business & Economics > Finance & accounting > Finance > Credit & credit institutions
Books > Science & Mathematics > Mathematics > Applied mathematics > General
Books > Money & Finance > Credit & credit institutions
LSN: 1-84821-905-9
Barcode: 9781848219052

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