图书简介
The book offers an overview of credit risk modeling and management. A three-step approach is adopted with the contents, after introducing the essential concepts of both mathematics and finance.Initially the focus is on the modeling of credit risk parameters mainly at the level of individual debtor and transaction, after which the book delves into counterparty credit risk, thus providing the link between credit and market risks. The second part is aimed at the portfolio level when multiple loans are pooled and default correlation becomes an important factor to consider and model. In this respect, the book explains how copulas help in modeling. The final stage is the macro perspective when the combination of credit risks related to financial institutions produces systemic risk and affects overall financial stability.The entire approach is two-dimensional as well. First, all modeling steps have replicable programming codes both in R and Matlab. In this way, the reader can experience the impact of changing the default probabilities of a given borrower or the weights of a sector. Second, at each stage, the book discusses the regulatory environment. This is because, at times, regulation can have stricter constraints than the outcome of internal models. In summary, the book guides the reader in modeling and managing credit risk by providing both the theoretical framework and the empirical tools necessary for a modern finance professional. In this sense, the book is aimed at a wide audience in all fields of study: from quants who want to engage in finance to economists who want to learn about coding and modern financial engineering.Key Features: oCan be used as a practical and theoretical guide for both advanced students and professionals. Summary on probability theory, financial statements, and prudential requirements in the opening chapters will help in mastering the advanced reading of the main contents of the bookoProvides coding examples in R and Matlab on how to measure credit and counterparty risks and how to apply copulas correctlyoAimed at a wide audience in all fields of study: from quants (physicist, engineers, mathematicians, etc.) who want to engage in finance to economists interested to learn about coding and modern financial engineeringoEncyclopedic coverage of issues relating to credit and counterparty risks (see eight pages of indexed terms)oA unique combination of internal modeling tools and (prudential) regulatory requirements, including Basel III oUniversal applicability of the solutions to both traditional and Islamic banksoComprehensively condensed material of nine credit risk modeling manuals with the valuable benefit of recent developments such as Basel III and systemic risk
Mathematical and Statistical Foundations: Distributions Commonly Used in Credit and Counterparty Risk Modeling; Poisson Processes; Estimation Techniques; Finance Background and Regulatory Framework: Basic Definitions; Banking Regulation Before the Crisis; The Financial Crisis of the XXI-st Century; Credit Risk Regulation After the Crisis; Credit Risk Modeling Essentials: Probability of Default (PD); Loss Given Default (LGD); Other Credit Risk Components and Portfolio Risk; Model Validation and Audit; Counterparty Risk Modeling: EAD Modeling; EAD-Related Issues; Correlation-Driven Issues; Portfolio Credit Risk Management Applications: Credit Risk Models; Sector Analysis; Estimating PD and LGD for Modeling Non-Performing Loans: The Case of Italy; The Case of Italy; Credit Default Swap (CDS); Systemic Risk Implications: Diversifying the Economy for Systemic Risk Reduction: The Case of the Kingdom of Saudi Arabia (KSA); Systemic Risk Regulation; Appendices: Financial Engineering: Coding in R; Financial Engineering: Coding in Matlab; Dataset Used for Modeling Non-Performing Loans;
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