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The risk of counterparty default in banking, insurance, institutional, and pension-fund portfolios is an area of ongoing and increasing importance for finance practitioners. It is, unfortunately, a topic with a high degree of technical complexity. Addressing this challenge, this book provides a comprehensive and attainable mathematical and statistical discussion of a broad range of existing default-risk models. Model description and derivation, however, is only part of the story. Through use of exhaustive practical examples and extensive code illustrations in the Python programming language, this work also explicitly shows the reader how these models are implemented. Bringing these complex approaches to life by combining the technical details with actual real-life Python code reduces the burden of model complexity and enhances accessibility to this decidedly specialized field of study. The entire work is also liberally supplemented with model-diagnostic, calibration, and parameter-estimation techniques to assist the quantitative analyst in day-to-day implementation as well as in mitigating model risk. Written by an active and experienced practitioner, it is an invaluable learning resource and reference text for financial-risk practitioners and an excellent source for advanced undergraduate and graduate students seeking to acquire knowledge of the key elements of this discipline.
Die Eskalation der Finanzkrise hat in kaum einem anderen Bereich so schnell Veränderungen gebracht wie in der Kreditanalyse. Die bankenaufsichtsrechtlichen Vorgaben aus Basel setzen nach der Finanzkrise neue Rahmenbedingungen für das Kreditgeschäft der Banken. Gleichzeitig haben an den Kapitalmärkten die unterschiedlichsten Kreditprodukte stark an Bedeutung gewonnen, von Unternehmensanleihen bis hin zu Verbriefungen. Die Kredit- und Kapitalmärkte wachsen im Globalisierungsprozess immer enger zusammen. Kreditrisiken müssen analysiert und gemanagt werden - in Banken ebenso wie am Kapitalmarkt, bei institutionellen wie bei privaten Anlegern. Durch mehr Professionalität schützen sich Marktteilnehmer vor den Folgen von Kreditkrisen.
Credit scoring aims to quantify the likelihood of a prospective borrower defaulting on payment over a specified period of time. The credit score is calculated using increasingly sophisticated statistical models, which vary considerably between individual cases. This clearly-written and comprehensive text covers the scorecard development process and provides a practical how-to guide for those wanting to use and develop credit scoring techniques. Assuming little prior knowledge, the text includes the relevant statistical and mathematical tools, numerous real-life examples, and discussion of the credit risk management cycle and the importance of credit scoring in business and regulatory environments, including Basel II. An extensive glossary and bibliography make this an indispensable desktop reference for graduate students in statistics, business, economics and finance, MBA students, credit risk and financial practitioners.
Give Yourself Some Credit!:A Graduate´s Guide to Understanding and Establishing Good Credit John Panzella
Ein ungewöhnliches Konzept bietet das Credit Card Knife: mit einer Größe von 7,1 cm Länge und 3,5 cm Breite (geschlossen) und einer Dicke von gerade einmal 3 (!) Millimetern (ohne Clip) verschwindet das Messer z.B. diskret im Kreditkar
This book offers an integrated framework to study the theoretical and quantitative properties of economies with frictions in multiple markets. Building on analyses of markets with frictions by 2010 Nobel laureates Peter A. Diamond, Dale T. Mortensen, and Christopher A. Pissarides, which provided a new theoretical approach to search markets, the book applies this new paradigm to labor, finance, and goods markets. It shows, in particular, how frictions in different markets interact with each other.
Rural Credits:Hearings Before the Subcommittee of the Joint Committee on Rural Credits, Congress of the United States, Sixty-Fourth Congress, First Session, Statements of Hon. David F. Houston, Hon. David Lubin, Hon. John Skelton Williams, Hon. Charles S U. S. Joint Committee on Rural Credits
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