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Dynamics of Large Structures and Inverse Problems

Mathematical and Mechanical Engineering Set – Volume 5

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Civil Engineering Structures According to the Eurocodes

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Swelling Concrete in Dams and Hydraulic Structures

DSC 2017

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Earthquake Occurrence

Short- and Long-term Models and their Validation

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The Chemostat

Mathematical Theory of Microorganims Cultures

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From Prognostics and Health Systems Management to Predictive Maintenance 2

Knowledge, Traceability and Decision

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First Hitting Time Regression Models

Lifetime Data Analysis Based on Underlying Stochastic Processes

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The Innovative Company

An Ill-defined Object

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Reading and Writing Knowledge in Scientific Communities

Digital Humanities and Knowledge Construction

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Going Past Limits To Growth

A Report to the Club of Rome EU-Chapter

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Semi-Markov Migration Models for Credit Risk

Stochastic Models for Insurance Set – Volume 1

Guglielmo D’Amico, “G. d’Annunzio” University of Chieti-Pescara, Italy Giuseppe Di Biase, “G. d’Annunzio” University of Chieti-Pescara, Italy Jacques Janssen, Solvay Brussels School of Economics and Management, Belgium Raimondo Manca, University of Rome “La Sapienza”, Italy

ISBN: 9781848219052

Publication Date: May 2017   Hardback   316 pp.

130.00 USD

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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.


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.

About the Authors

Guglielmo D’Amico is Associate Professor of Applied Mathematics at “G. d’Annunzio” University of Chieti-Pescara in Italy. He has published 69 papers in peer-reviewed international journals.
Giuseppe Di Biase is Associate Professor of Applied Mathematics for Economics and Finance in the Department of Pharmacy at the “G. d'Annunzio” University of Chieti-Pescara in Italy.
Jacques Janssen is Honorary Professor at the Solvay Brussels School of Economics and Management in Brussels,Belgium. He is founding editor of the Wiley journal Applied Stochastic Models for Business and Industry, and manages book series and open journals for ISTE.
Raimondo Manca is Full Professor of Mathematics for Economics, Finance and Insurance at University of Rome “La Sapienza” in Italy. He has written 220 papers and 11 scientific books and is associate editor of Methodology and Computing in Applied Probability.


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