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Credit Risk Analytics with R
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Overview of Credit Risk Analytics with R Book
| Title | Credit Risk Analytics with R |
| Author | R. K. Arora, Prerna Lal |
| ISBN-13 | 9789357461559 |
| Publication | WILEY |
Credit risk analytics is a set of tools and techniques that enable lenders to take credit decisions and estimate the credit risk by predicting the credit behaviour of potential borrowers. Beginning with the fundamental concepts of credit risk analytics, this book offers in-depth insight into credit scoring models, probability of default (discrete time models and continuous time models) and modelling (exposures, recoveries, default correlations, and counterparty risk). Adopting a balanced strategy combining theoretical explanation and practical applications, the book demonstrates how you can build credit risk models using R and apply them into practice.
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Overview of Credit Risk Analytics with R Book
Credit risk analytics is a set of tools and techniques that enable lenders to take credit decisions and estimate the credit risk by predicting the credit behaviour of potential borrowers. Beginning with the fundamental concepts of credit risk analytics, this book offers in-depth insight into credit scoring models, probability of default (discrete time models and continuous time models) and modelling (exposures, recoveries, default correlations, and counterparty risk). Adopting a balanced strategy combining theoretical explanation and practical applications, the book demonstrates how you can build credit risk models using R and apply them into practice.
Book Type :
Banking
Book Binding :
Not Available
Language :
English
No. of Pages :
Not Available
ISBN - 10 :
9357461558
ISBN - 13 :
9789357461559
Credit Risk Analytics with R Published On :
Not Available
Publisher :
Not Available
Edition :
Not Available
About R. K. Arora, Prerna Lal:
R. K. Arora, Prerna Lal is the author of Credit Risk Analytics with R.
Disclaimer:
- Credit Risk Analytics with R book is not for reading online or for free download in PDF or eBook format.
- Table of Contents, Index, Syllabus, summary and image of Credit Risk Analytics with R may be of a different edition or of the same title.
- Price can change due to reprinting, price change by publisher or sourcing cost change for imported books.
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Overview of Credit Risk Analytics with R Book
| Title | Credit Risk Analytics with R |
| Author | R. K. Arora, Prerna Lal |
| ISBN-13 | 9789357461559 |
| Publication | WILEY |
Credit risk analytics is a set of tools and techniques that enable lenders to take credit decisions and estimate the credit risk by predicting the credit behaviour of potential borrowers. Beginning with the fundamental concepts of credit risk analytics, this book offers in-depth insight into credit scoring models, probability of default (discrete time models and continuous time models) and modelling (exposures, recoveries, default correlations, and counterparty risk). Adopting a balanced strategy combining theoretical explanation and practical applications, the book demonstrates how you can build credit risk models using R and apply them into practice.