Semi-Markov Migration Models for Credit Risk

Guglielmo D'Amico, Giuseppe Di Biase, Jacques Janssen, Raimondo Manca

• Publisher: Wiley-ISTE
• Year: 2017
• Print ISBN: 9781848219052
• eBook ISBN: 9781119415121
• Edition: 1
• Topic: Mathematics
• Subtopic: Applied Mathematics
• Index: Mathematics

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.

Table of contents

• Cover
• Table of Contents
• Title
• Copyright
• Introduction
• 1 Semi-Markov Processes Migration Credit Risk Models
• 2 Recurrence Time HSMP and NHSMP: Credit Risk Applications
• 3 Recurrence Time Credit Risk Applications
• 4 Mono-Unireducible Markov and Semi-Markov Processes
• 5 Non-Homogeneous Semi-Markov Reward Processes and Credit Spread Computation
• 6 NHSMP Model for the Evaluation of Credit Default Swaps
• 7 Bivariate Semi-Markov Processes and Related Reward Processes for Counterparty Credit Risk and Credit Spreads
• 8 Semi-Markov Credit Risk Simulation Models
• Bibliography
• Index
• End User License Agreement