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Book

Introduction to Credit Risk

Book

Introduction to Credit Risk

DOI link for Introduction to Credit Risk

Introduction to Credit Risk book

Introduction to Credit Risk

DOI link for Introduction to Credit Risk

Introduction to Credit Risk book

Edited ByGiulio Carlone
Edition 1st Edition
First Published 2020
eBook Published 9 November 2020
Pub. Location Boca Raton
Imprint Chapman and Hall/CRC
DOI https://doi.org/10.1201/9781003036944
Pages 488
eBook ISBN 9781003036944
Subjects Economics, Finance, Business & Industry, Mathematics & Statistics
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Carlone, G. (Ed.). (2020). Introduction to Credit Risk (1st ed.). CRC Press. https://doi.org/10.1201/9781003036944

ABSTRACT

Introduction to Credit Risk focuses on analysis of credit risk, derivatives, equity investments, portfolio management, quantitative methods, and risk management. In terms of application, this book can be used as an important tool to explain how to generate data rows of expected exposure to counterparty credit risk. The book also directs the reader on how to visualize, in real time, the results of this data, generated with a Java tool.

Features

  • Uses an in-depth case study to illustrate multiple factors in counterparty credit risk exposures
  • Suitable for quantitative risk managers at banks, as well as students of finance, financial mathematics, and software engineering
  • Provides the reader with numerous examples and applications

Giulio Carlone has an MBA, a PhD, and a Master’s degree in Computer Science from the University of Italy. He is a member of the software system engineering staff of the Department of Computer Science at University College London. He has 20 years of practical experience in technical software engineering and quantitative finance engineering in the commercial sector. His research interests include the use of communication strategies and the implementation of plans and projects using financial software for requirement specifications, requirements analysis, and architectural design.

TABLE OF CONTENTS

chapter Chapter 1|6 pages

Background of Credit Risk and Java Visualization for Expected Exposure

chapter Chapter 2|6 pages

Theoretical Phase of a Real-World Case Study

chapter Chapter 3|6 pages

Real-World Case of the Practical Phase for Generating Exposure Regulatory Measures in a Specific Bank with an Internal Model Method

chapter Chapter 4|3 pages

Theoretical Approach of the Real-World Case Phase Related to the Methodology of Scenario Simulation Used for Generating Exposure Regulatory Measures

chapter Chapter 5|6 pages

Generation of a Simulation of a Real-World Case for Generating Exposure Regulatory Measures

chapter Chapter 6|8 pages

Compute Exposure by Counterparty

chapter Chapter 7|4 pages

First Quantitative Analysis of Portfolio Exposure Profiles

chapter Chapter 8|10 pages

Further Analysis on Portfolio Exposure Profiles Using Zero Rate Vector 0.03

chapter Chapter 9|10 pages

Further Analysis of Portfolio Exposure Profiles with Zero Rate Vector 0.06

chapter Chapter 10|3 pages

Generalization of Analysis on Portfolio Exposure Profiles with Zero Rate Vectors 0.01, 0.03, and 0.06

chapter Chapter 11|4 pages

Risk Perspective of Credit Valuation Adjustment

chapter Chapter 12|5 pages

Further Work

chapter Chapter 13|62 pages

MATLAB Source Code Strategy and Analysis for Generation of Time Step Set of Data

chapter Chapter 14|135 pages

Expected Exposure Visualization List of Java Code Packages

chapter Chapter 15|185 pages

Expected Exposure Visualization List of UML Diagram

chapter Chapter 16|4 pages

Credit Models Using Google Cloud

chapter Chapter 17|2 pages

Conclusion

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