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Modern financial engineering : counterparty, credit, portfolio and systemic risks

[NT 42944] Record Type:	[NT 1579] Language materials, printed : [NT 40817] monographic
[NT 47348] Title Information:	counterparty, credit, portfolio and systemic risks
[NT 47261] Author:	OrlandoGiuseppe ... [et al.],
[NT 47351] Place of Publication:	Hackensack, NJ
[NT 47263] Published:	World Scientific Publishing Co.;
[NT 47352] Year of Publication:	2022
[NT 47264] Description:	xxv, 407 p.ill. : 25 cm.;
[NT 47298] Series:	Topics in systems engineering
[NT 47266] Subject:	Financial engineering. -
[NT 47266] Subject:	Credit - Management -
[NT 47266] Subject:	Risk management - Mathematical models. -
[NT 51398] Summary:	"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"--Provided by publisher.
[NT 50961] ISBN:	978-981-125-235-8bound

Modern financial engineering : counterparty, credit, portfolio and systemic risks
Orlando, Giuseppe ... [et al.]

Modern financial engineering : counterparty, credit, portfolio and systemic risks / Giuseppe Orlando, University of Bari, Italy, Michele Bufalo, University of Rome "La Sapienza", Italy, Henry Penikas, Bank of Russia, Russia, Concetta Zurlo, Accenture, Europe. - Hackensack, NJ : World Scientific Publishing Co., 2022. - xxv, 407 p. ; ill. ; 25 cm.. - (Topics in systems engineering ; volume 2).
Includes bibliographical references (p. 385-398) and index..
ISBN 978-981-125-235-8
Financial engineering.CreditRisk management -- Management -- Mathematical models.

Modern financial engineering : counterparty, credit, portfolio and systemic risks
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200 1 $a Modern financial engineering $e counterparty, credit, portfolio and systemic risks $f Giuseppe Orlando, University of Bari, Italy, Michele Bufalo, University of Rome "La Sapienza", Italy, Henry Penikas, Bank of Russia, Russia, Concetta Zurlo, Accenture, Europe.
210 $a Hackensack, NJ $d 2022 $c World Scientific Publishing Co.
215 1 $a xxv, 407 p. $c ill. $d 25 cm.
225 1 # $a Topics in systems engineering $v volume 2 $x 2810-9104
320 $a Includes bibliographical references (p. 385-398) and index.
330 $a "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"--Provided by publisher.
606 # $a Financial engineering. $3 57485
606 # $a Credit $x Management $x Mathematical models. $2 lc $3 418918
606 # $a Risk management $x Mathematical models. $2 lc $3 274957
676 $a 658.15
700 1 $a Orlando $b Giuseppe ... [et al.] $3 419241
801 0 $a tw $b 嶺東科技大學圖書館