Semi-Markov migration models for credit risk
by
 
D'Amico, Guglielmo, author.

Title
Semi-Markov migration models for credit risk

Author
D'Amico, Guglielmo, author.

ISBN
9781119415084
 
9781119415121
 
9781119415114

Physical Description
1 online resource

Series
Stochastic models for insurance set ; volume 1
 
Stochastic models for insurance set ; volume 1.

Contents
Semi-Markov Processes Migration Credit Risk Models -- Recurrence Time HSMP and NHSMP: Credit Risk Applications -- Recurrence Time Credit Risk Applications -- Mono-Unireducible Markov and Semi-Markov Processes -- Non-Homogeneous Semi-Markov Reward Processes and Credit Spread Computation -- NHSMP Model for the Evaluation of Credit Default Swaps -- Bivariate Semi-Markov Processes and Related Reward Processes for Counterparty Credit Risk and Credit Spreads -- Semi-Markov Credit Risk Simulation Models.

Abstract
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.

Local Note
John Wiley and Sons

Subject Term
Markov processes.
 
Financial risk -- Mathematical models.
 
Processus de Markov.
 
Risque financier -- Modèles mathématiques.
 
MATHEMATICS -- Applied.
 
MATHEMATICS -- Probability & Statistics -- General.
 
Applied.
 
MATHEMATICS.
 
Markov processes

Genre
Electronic books.

Added Author
D'Amico, Guglielmo,
 
Biase, Giuseppe Di,
 
Janssen, Jacques, 1939-
 
Manca, Raimondo,

Electronic Access
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119415084


LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book593706-1001QA274.7Wiley E-Kitap Koleksiyonu