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.

chapter Chapter 2|6 pages

Theoretical Phase of a Real-World Case Study

chapter Chapter 6|8 pages

Compute Exposure by Counterparty

chapter Chapter 11|4 pages

Risk Perspective of Credit Valuation Adjustment

chapter Chapter 12|5 pages

Further Work

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