Modern Financial Engineering: Counterparty, Credit, Portfolio And Systemic Risks (e-bog) af Concetta Zurlo, Zurlo
Concetta Zurlo, Zurlo (forfatter)

Modern Financial Engineering: Counterparty, Credit, Portfolio And Systemic Risks e-bog

875,33 DKK (inkl. moms 1094,16 DKK)
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 lin...
E-bog 875,33 DKK
Forfattere Concetta Zurlo, Zurlo (forfatter)
Udgivet 28 december 2021
Længde 436 sider
Genrer Financial accounting
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9789811252372
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.