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Introduction to Credit Risk Modeling

2016-04-19 Business & Economics
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Release : 2016-04-19
Genre : Business & Economics
Kind : eBook
Book Rating : 934/5 ( reviews)

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Book Synopsis Introduction to Credit Risk Modeling by : Christian Bluhm

Download or read book Introduction to Credit Risk Modeling written by Christian Bluhm. This book was released on 2016-04-19. Available in PDF, EPUB and Kindle. Book excerpt: Contains Nearly 100 Pages of New MaterialThe recent financial crisis has shown that credit risk in particular and finance in general remain important fields for the application of mathematical concepts to real-life situations. While continuing to focus on common mathematical approaches to model credit portfolios, Introduction to Credit Risk Modelin

Introduction to Credit Risk

2020 Credit
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Release : 2020
Genre : Credit
Kind : eBook
Book Rating : 490/5 ( reviews)

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Book Synopsis Introduction to Credit Risk by : Giulio Carlone

Download or read book Introduction to Credit Risk written by Giulio Carlone. This book was released on 2020. Available in PDF, EPUB and Kindle. Book excerpt: Background of credit risk and Java visualization for expected exposure -- Theoretical phase of a real-world case study -- Real-world case of the practical phase for generating exposure regulatory measures in a specific bank with an internal model method -- Theoretical approach of the real-world case phase related to the methodology of scenario simulation used for generating exposure regulatory measures -- Generation of a simulation of a real-world case for generating exposures regulatory measures -- Compute exposure by counterparty -- First quantitative analysis of portfolio exposure profiles -- Further analysis on portfolio exposure profiles using zero rate vector 0.03 -- Further analysis on portfolio exposure profiles with zero rate vector 0.06 -- Generalization of analysis on portfolio exposure profiles with zero rate vectors 0.01, 0.03, and 0.06 -- Risk perspective of credit valuation adjustment -- Further work -- Matlab source code strategy further analysis of generation of time step -- Expected exposure visualization list of Java Code Packages -- Expected exposure visualization list of UML diagram -- Credit models using Google Cloud.

Managing Portfolio Credit Risk in Banks: An Indian Perspective

2016-05-09 Business & Economics
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Release : 2016-05-09
Genre : Business & Economics
Kind : eBook
Book Rating : 47X/5 ( reviews)

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Book Synopsis Managing Portfolio Credit Risk in Banks: An Indian Perspective by : Arindam Bandyopadhyay

Download or read book Managing Portfolio Credit Risk in Banks: An Indian Perspective written by Arindam Bandyopadhyay. This book was released on 2016-05-09. Available in PDF, EPUB and Kindle. Book excerpt: This book explains how a proper credit risk management framework enables banks to identify, assess and manage the risk proactively.

Credit Risk Analytics

2016-10-03 Business & Economics
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Release : 2016-10-03
Genre : Business & Economics
Kind : eBook
Book Rating : 985/5 ( reviews)

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Book Synopsis Credit Risk Analytics by : Bart Baesens

Download or read book Credit Risk Analytics written by Bart Baesens. This book was released on 2016-10-03. Available in PDF, EPUB and Kindle. Book excerpt: The long-awaited, comprehensive guide to practical credit risk modeling Credit Risk Analytics provides a targeted training guide for risk managers looking to efficiently build or validate in-house models for credit risk management. Combining theory with practice, this book walks you through the fundamentals of credit risk management and shows you how to implement these concepts using the SAS credit risk management program, with helpful code provided. Coverage includes data analysis and preprocessing, credit scoring; PD and LGD estimation and forecasting, low default portfolios, correlation modeling and estimation, validation, implementation of prudential regulation, stress testing of existing modeling concepts, and more, to provide a one-stop tutorial and reference for credit risk analytics. The companion website offers examples of both real and simulated credit portfolio data to help you more easily implement the concepts discussed, and the expert author team provides practical insight on this real-world intersection of finance, statistics, and analytics. SAS is the preferred software for credit risk modeling due to its functionality and ability to process large amounts of data. This book shows you how to exploit the capabilities of this high-powered package to create clean, accurate credit risk management models. Understand the general concepts of credit risk management Validate and stress-test existing models Access working examples based on both real and simulated data Learn useful code for implementing and validating models in SAS Despite the high demand for in-house models, there is little comprehensive training available; practitioners are left to comb through piece-meal resources, executive training courses, and consultancies to cobble together the information they need. This book ends the search by providing a comprehensive, focused resource backed by expert guidance. Credit Risk Analytics is the reference every risk manager needs to streamline the modeling process.

Credit Risk: Modeling, Valuation and Hedging

2013-03-14 Business & Economics
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Release : 2013-03-14
Genre : Business & Economics
Kind : eBook
Book Rating : 213/5 ( reviews)

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Book Synopsis Credit Risk: Modeling, Valuation and Hedging by : Tomasz R. Bielecki

Download or read book Credit Risk: Modeling, Valuation and Hedging written by Tomasz R. Bielecki. This book was released on 2013-03-14. Available in PDF, EPUB and Kindle. Book excerpt: The motivation for the mathematical modeling studied in this text on developments in credit risk research is the bridging of the gap between mathematical theory of credit risk and the financial practice. Mathematical developments are covered thoroughly and give the structural and reduced-form approaches to credit risk modeling. Included is a detailed study of various arbitrage-free models of default term structures with several rating grades.

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