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The Analytics Of Risk Model Validation

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The Analytics of Risk Model Validation

The Analytics of Risk Model Validation Book
Author : George A. Christodoulakis,Stephen Satchell
Publisher : Elsevier
Release : 2007-11-14
ISBN : 9780080553887
Language : En, Es, Fr & De

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Book Description :

Risk model validation is an emerging and important area of research, and has arisen because of Basel I and II. These regulatory initiatives require trading institutions and lending institutions to compute their reserve capital in a highly analytic way, based on the use of internal risk models. It is part of the regulatory structure that these risk models be validated both internally and externally, and there is a great shortage of information as to best practise. Editors Christodoulakis and Satchell collect papers that are beginning to appear by regulators, consultants, and academics, to provide the first collection that focuses on the quantitative side of model validation. The book covers the three main areas of risk: Credit Risk and Market and Operational Risk. *Risk model validation is a requirement of Basel I and II *The first collection of papers in this new and developing area of research *International authors cover model validation in credit, market, and operational risk

The Validation of Risk Models

The Validation of Risk Models Book
Author : S. Scandizzo
Publisher : Palgrave Macmillan
Release : 2016-04-27
ISBN : 9781137436955
Language : En, Es, Fr & De

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Book Description :

The practice of quantitative risk management has reached unprecedented levels of refinement. The pricing, the assessment of risk as well as the computation of the capital requirements for highly complex transactions are performed through equally complex mathematical models, running on advanced computer systems, developed and operated by dedicated, highly qualified specialists. With this sophistication, however, come risks that are unpredictable, globally challenging and difficult to manage. Model risk is a prime example and precisely the kind of risk that those tasked with managing financial institutions as well as those overseeing the soundness and stability of the financial system should worry about. This book starts with setting the problem of the validation of risk models within the context of banking governance and proposes a comprehensive methodological framework for the assessment of models against compliance, qualitative and quantitative benchmarks. It provides a comprehensive guide to the tools and techniques required for the qualitative and quantitative validation of the key categories of risk models, and introduces a practical methodology for the measurement of the resulting model risk and its translation into prudent adjustments to capital requirements and other estimates.

The Validation of Risk Models

The Validation of Risk Models Book
Author : S. Scandizzo
Publisher : Springer
Release : 2016-07-01
ISBN : 1137436964
Language : En, Es, Fr & De

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Book Description :

This book is a one-stop-shop reference for risk management practitioners involved in the validation of risk models. It is a comprehensive manual about the tools, techniques and processes to be followed, focused on all the models that are relevant in the capital requirements and supervisory review of large international banks.

Understanding and Managing Model Risk

Understanding and Managing Model Risk Book
Author : Massimo Morini
Publisher : John Wiley & Sons
Release : 2011-10-20
ISBN : 0470977744
Language : En, Es, Fr & De

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Book Description :

A guide to the validation and risk management of quantitative models used for pricing and hedging Whereas the majority of quantitative finance books focus on mathematics and risk management books focus on regulatory aspects, this book addresses the elements missed by this literature--the risks of the models themselves. This book starts from regulatory issues, but translates them into practical suggestions to reduce the likelihood of model losses, basing model risk and validation on market experience and on a wide range of real-world examples, with a high level of detail and precise operative indications.

Risk Analysis and Portfolio Modelling

Risk Analysis and Portfolio Modelling Book
Author : Elisa Luciano,David Allen
Publisher : MDPI
Release : 2019-10-16
ISBN : 3039216244
Language : En, Es, Fr & De

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Book Description :

Financial Risk Measurement is a challenging task, because both the types of risk and the techniques evolve very quickly. This book collects a number of novel contributions to the measurement of financial risk, which address either non-fully explored risks or risk takers, and does so in a wide variety of empirical contexts.

Credit Risk Analytics

Credit Risk Analytics Book
Author : Bart Baesens,Daniel Roesch,Harald Scheule
Publisher : John Wiley & Sons
Release : 2016-10-03
ISBN : 1119143985
Language : En, Es, Fr & De

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Book Description :

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.

Food Safety and Preservation

Food Safety and Preservation Book
Author : Alexandru Mihai Grumezescu,Alina Maria Holban
Publisher : Academic Press
Release : 2018-04-18
ISBN : 0128149574
Language : En, Es, Fr & De

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Book Description :

Food Safety and Preservation: Modern Biological Approaches to Improving Consumer Health explores the most recent and investigated hot topics in food safety, microbial contamination, food-borne diseases and advanced preservation methods. It brings together the significant, evidence-based scientific progress of various approaches to improve the safety and quality of foods, also offering solutions to help address food industry challenges. Recent studies and technological advancements in biological control are presented to control foodborne pathogens. In addition, analytical methods for reducing potential biological hazards make this book essential to researchers, scientists, technologists and grad students. Covers all aspects of food contamination, from food degradation, to food-borne diseases Examines validated, biological control approaches to reduce microbial and chemical contamination Includes detailed discussions of risk and safety assessments in food preservation

Credit Risk Analytics

Credit Risk Analytics Book
Author : Bart Baesens,Daniel Roesch,Harald Scheule
Publisher : John Wiley & Sons
Release : 2016-09-19
ISBN : 1119278341
Language : En, Es, Fr & De

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Book Description :

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.

Solving Modern Crime in Financial Markets

Solving Modern Crime in Financial Markets Book
Author : Marius-Cristian Frunza
Publisher : Academic Press
Release : 2015-12-09
ISBN : 0128045329
Language : En, Es, Fr & De

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Book Description :

This comprehensive source of information about financial fraud delivers a mature approach to fraud detection and prevention. It brings together all important aspect of analytics used in investigating modern crime in financial markets and uses R for its statistical examples. It focuses on crime in financial markets as opposed to the financial industry, and it highlights technical aspects of crime detection and prevention as opposed to their qualitative aspects. For those with strong analytic skills, this book unleashes the usefulness of powerful predictive and prescriptive analytics in predicting and preventing modern crime in financial markets. Interviews and case studies provide context and depth to examples Case studies use R, the powerful statistical freeware tool Useful in classroom and professional contexts

Model Risk in Financial Markets

Model Risk in Financial Markets Book
Author : Radu Tunaru
Publisher : World Scientific
Release : 2015-06-08
ISBN : 9814663425
Language : En, Es, Fr & De

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Book Description :

The financial systems in most developed countries today build up a large amount of model risk on a daily basis. However, this is not particularly visible as the financial risk management agenda is still dominated by the subprime-liquidity crisis, the sovereign crises, and other major political events. Losses caused by model risk are hard to identify and even when they are internally identified, as such, they are most likely to be classified as normal losses due to market evolution. Model Risk in Financial Markets: From Financial Engineering to Risk Management seeks to change the current perspective on model innovation, implementation and validation. This book presents a wide perspective on model risk related to financial markets, running the gamut from financial engineering to risk management, from financial mathematics to financial statistics. It combines theory and practice, both the classical and modern concepts being introduced for financial modelling. Quantitative finance is a relatively new area of research and much has been written on various directions of research and industry applications. In this book the reader gradually learns to develop a critical view on the fundamental theories and new models being proposed. Contents:IntroductionFundamental RelationshipsModel Risk in Interest Rate ModellingArbitrage TheoryDerivatives Pricing Under UncertaintyPortfolio Selection Under UncertaintyProbability Pitfalls of Financial CalculusModel Risk in Risk Measures CalculationsParameter Estimation RiskComputational ProblemsPortfolio Selection Using Sharpe RatioBayesian Calibration for Low Frequency DataMCMC Estimation of Credit Risk MeasuresLast But Not Least. Can We Avoid the Next Big Systemic Financial Crisis?Notations for the Study of MLE for CIR Process Readership: Graduate students, researchers, practitioners, senior managers in financial institutions and hedge-funds, regulators and risk managers, who are keen to understand the pitfalls of financial modelling, and also those who are looking for a career in model validation, product control and risk management functions. Key Features:Some innovative results are presented for the first timeCovers a wide range of models, results and applications in financial markets to demonstrate that model risk is generally spreadKeywords:Model Risk;Risk Management;Financial Engineering;Financial Markets

Credit Risk Analytics

Credit Risk Analytics Book
Author : Harald Scheule
Publisher : Createspace Independent Publishing Platform
Release : 2017-11-23
ISBN : 9781977760869
Language : En, Es, Fr & De

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Book Description :

Credit risk analytics in R will enable you to build credit risk models from start to finish. Accessing real credit data via the accompanying website www.creditriskanalytics.net, you will master a wide range of applications, including building your own PD, LGD and EAD models as well as mastering industry challenges such as reject inference, low default portfolio risk modeling, model validation and stress testing. This book has been written as a companion to Baesens, B., Roesch, D. and Scheule, H., 2016. Credit Risk Analytics: Measurement Techniques, Applications, and Examples in SAS. John Wiley & Sons.

Preparing for the Next Financial Crisis

Preparing for the Next Financial Crisis Book
Author : Esa Jokivuolle,Radu Tunaru
Publisher : Cambridge University Press
Release : 2017-10-31
ISBN : 1107185599
Language : En, Es, Fr & De

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Book Description :

This book uses perspectives of finance and banking to offer predictions on future financial crises, and how we can prepare for them.

Risk Management in Credit Portfolios

Risk Management in Credit Portfolios Book
Author : Martin Hibbeln
Publisher : Springer Science & Business Media
Release : 2010-09-30
ISBN : 9783790826074
Language : En, Es, Fr & De

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Book Description :

Risk concentrations play a crucial role for the survival of individual banks and for the stability of the whole banking system. Thus, it is important from an economical and a regulatory perspective to properly measure and manage these concentrations. In this book, the impact of credit concentrations on portfolio risk is analyzed for different portfolio types and it is determined, in which cases the influence of concentration risk has to be taken into account. Furthermore, some models for the measurement of concentration risk are modified to be consistent with Basel II and their performance is compared. Beyond that, this book integrates economical and regulatory aspects of concentration risk and seeks to provide a systematic way to get familiar with the topic of concentration risk from the basics of credit risk modeling to present research in the measurement and management of credit risk concentrations.

Managing Supply Chain Risk

Managing Supply Chain Risk Book
Author : ManMohan S. Sodhi,Christopher S. Tang
Publisher : Springer Science & Business Media
Release : 2012-02-25
ISBN : 1461432383
Language : En, Es, Fr & De

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Book Description :

“Supply Chain Risk Management is an issue that many companies face and yet few companies know how to deal with it in a systematic and pragmatic manner. While avoiding and reducing supply chain risks are certainly preferable, developing ways to restore and stabilize supply chain operations rapidly after a major disruption is critical for managing global supply chains. Sodhi and Tang present important concepts, frameworks, strategies, and analyses that are essential for managing supply chain risks. Not only does this book suggest some practical ways to work with different partners to manage the risks that are present in a global supply chain, it creates a framework that would enable practitioners to engage researchers to work on this important area.” —Thomas A. Debrowski, Executive Vice President, Worldwide Operations, Mattel, Inc. “When a firm outsources its operations to external suppliers, the firm is vulnerable to major and rare disruptions that can occur at any link in the global supply chain. Because these disruptions rarely occur, few firms take commensurable actions to identify, assess, mitigate and respond to various types of supply chain risks. By introducing frameworks and concepts along with several case studies and a review of academic literature, Sodhi and Tang treat this important subject with practical relevance and academic rigor. This book will bring practitioners and researchers to develop effective and efficient ways to manage supply chain risks.” —Marshall L. Fisher, UPS Professor, Professor of Operations and Information Management and Co-Director of Fishman-Davidson Center for Service and Operations Management, The Wharton School, University of Pennsylvania “This book ties observations in practice to methodologies and research. The rich case examples motivated the approaches and methodologies used to mitigate risks, and in the course of doing so, Sodhi and Tang provided insights on existing and new research opportunities. As a result, this book is highly relevant to both practitioners and academics. Also, the book is also written with management lessons on how risks can be mitigated, and how risks can be contained once disruptions have occurred. As such, it is also a book for management to gain insights and to develop management skills.” —Hau L. Lee, Thoma Professor of Operations, Information and Technology and Director of the Stanford Global Supply Chain Management Forum, Graduate School of Business, Stanford University “As companies have extended their supply chains globally and as the face increasing resource issues, they face a number of new risk challenges. While there are various case studies written about supply chain risks, this book gives a comprehensive treatment of the subject with clarity. The concepts and frameworks developed by Sodhi and Tang in this book would create awareness of this important and yet not well understood subject, and strategies described in this book would stimulate practitioners to develop a holistic approach for identifying, assessing, mitigating, and responding to different types of supply chain risks.” —Nick Wildgoose, Global Supply Chain Proposition Manager, Zurich Insurance​

The Calibration of Rating Models

The Calibration of Rating Models Book
Author : Paul Markus Konrad
Publisher : Tectum Wissenschaftsverlag
Release : 2014-01-29
ISBN : 3828857981
Language : En, Es, Fr & De

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Book Description :

All across Europe, a drama of historical proportions is unfolding as the debt crisis continues to rock the worldwide financial landscape. Whilst insecurity rises, the general public, policy makers, scientists and academics are searching high and low for independent and objective analyses that may help to assess this unusual situation. For more than a century, rating agencies had developed methods and standards to evaluate and analyze companies, projects or even sovereign countries. However, due to their dated internal processes, the independence of these rating agencies is being questioned, raising conflicts of interests which largely discredit this sector. Stakeholders are debating the enormous economical and political impact of the assessments, the intransparent methodology, the questionable timing of rating announcements, the accuracy and the focus on profitability. This work opens the statistical toolbox used in credit rating and in the validation of its results. After embedding the research field into its institutional and historical context, it presents standard and new techniques necessary to adequately understand the statistical approach in credit rating. It then introduces a new method for the validation of the central output parameter of the rating model, the Probability of Default. To illustrate the practical application, the theoretical considerations are accompanied by an extensive empirical study. The methods presented and developed in this book are easily applicable. Banks and regulators can statistically test the consistency of a rating methodology regarding discriminatory power and calibration quality.

Optimizing Optimization

Optimizing Optimization Book
Author : Stephen Satchell
Publisher : Academic Press
Release : 2009-09-19
ISBN : 9780080959207
Language : En, Es, Fr & De

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Book Description :

The practical aspects of optimization rarely receive global, balanced examinations. Stephen Satchell’s nuanced assembly of technical presentations about optimization packages (by their developers) and about current optimization practice and theory (by academic researchers) makes available highly practical solutions to our post-liquidity bubble environment. The commercial chapters emphasize algorithmic elements without becoming sales pitches, and the academic chapters create context and explore development opportunities. Together they offer an incisive perspective that stretches toward new products, new techniques, and new answers in quantitative finance. Presents a unique "confrontation" between software engineers and academics Highlights a global view of common optimization issues Emphasizes the research and market challenges of optimization software while avoiding sales pitches Accentuates real applications, not laboratory results

Managing Risks in the European Periphery Debt Crisis

Managing Risks in the European Periphery Debt Crisis Book
Author : G. Christodoulakis
Publisher : Springer
Release : 2014-12-23
ISBN : 1137304952
Language : En, Es, Fr & De

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Book Description :

The European Periphery Debt Crisis (EPDC) has its roots in the structural characteristics of the individual economies affected. This book offers a full diagnosis of the EPDC, its association to the national and international structural characteristics and a full analysis from a risk management point of view of the available policy options.

Analyzing Banking Risk

Analyzing Banking Risk Book
Author : Hennie van Greuning,Sonja Brajovic-Bratanovic
Publisher : World Bank Publications
Release : 2009-03-31
ISBN : 9780821378984
Language : En, Es, Fr & De

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Book Description :

This book provides a comprehensive overview of topics focusing on assessment, analysis, and management of financial risks in banking. The publication emphasizes risk-management principles and stresses that key players in the corporate governance process are accountable for managing the different dimensions of financial risk. This third edition remains faithful to the objectives of the original publication. A significant new edition is the inclusion of chapters on the management of the treasury function. Advances made by the Basel Committee on Banking Supervision are reflected in the chapters on capital adequacy, transparency, and banking supervision. This publication should be of interest to a wide body of users of bank financial data. The target audience includes persons responsible for the analysis of banks and for the senior management or organizations directing their efforts.

Computational Finance Using C and C

Computational Finance Using C and C  Book
Author : George Levy
Publisher : Academic Press
Release : 2016-07-21
ISBN : 0128035765
Language : En, Es, Fr & De

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Book Description :

Computational Finance Using C and C#: Derivatives and Valuation, Second Edition provides derivatives pricing information for equity derivatives, interest rate derivatives, foreign exchange derivatives, and credit derivatives. By providing free access to code from a variety of computer languages, such as Visual Basic/Excel, C++, C, and C#, it gives readers stand-alone examples that they can explore before delving into creating their own applications. It is written for readers with backgrounds in basic calculus, linear algebra, and probability. Strong on mathematical theory, this second edition helps empower readers to solve their own problems. *Features new programming problems, examples, and exercises for each chapter. *Includes freely-accessible source code in languages such as C, C++, VBA, C#, and Excel.. *Includes a new chapter on the history of finance which also covers the 2008 credit crisis and the use of mortgage backed securities, CDSs and CDOs. *Emphasizes mathematical theory. Features new programming problems, examples, and exercises with solutions added to each chapter Includes freely-accessible source code in languages such as C, C++, VBA, C#, Excel, Includes a new chapter on the credit crisis of 2008 Emphasizes mathematical theory

Financial Risk Management

Financial Risk Management Book
Author : Jimmy Skoglund,Wei Chen
Publisher : John Wiley & Sons
Release : 2015-09-08
ISBN : 1119157242
Language : En, Es, Fr & De

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Book Description :

A global banking risk management guide geared toward the practitioner Financial Risk Management presents an in-depth look at banking risk on a global scale, including comprehensive examination of the U.S. Comprehensive Capital Analysis and Review, and the European Banking Authority stress tests. Written by the leaders of global banking risk products and management at SAS, this book provides the most up-to-date information and expert insight into real risk management. The discussion begins with an overview of methods for computing and managing a variety of risk, then moves into a review of the economic foundation of modern risk management and the growing importance of model risk management. Market risk, portfolio credit risk, counterparty credit risk, liquidity risk, profitability analysis, stress testing, and others are dissected and examined, arming you with the strategies you need to construct a robust risk management system. The book takes readers through a journey from basic market risk analysis to major recent advances in all financial risk disciplines seen in the banking industry. The quantitative methodologies are developed with ample business case discussions and examples illustrating how they are used in practice. Chapters devoted to firmwide risk and stress testing cross reference the different methodologies developed for the specific risk areas and explain how they work together at firmwide level. Since risk regulations have driven a lot of the recent practices, the book also relates to the current global regulations in the financial risk areas. Risk management is one of the fastest growing segments of the banking industry, fueled by banks' fundamental intermediary role in the global economy and the industry's profit-driven increase in risk-seeking behavior. This book is the product of the authors' experience in developing and implementing risk analytics in banks around the globe, giving you a comprehensive, quantitative-oriented risk management guide specifically for the practitioner. Compute and manage market, credit, asset, and liability risk Perform macroeconomic stress testing and act on the results Get up to date on regulatory practices and model risk management Examine the structure and construction of financial risk systems Delve into funds transfer pricing, profitability analysis, and more Quantitative capability is increasing with lightning speed, both methodologically and technologically. Risk professionals must keep pace with the changes, and exploit every tool at their disposal. Financial Risk Management is the practitioner's guide to anticipating, mitigating, and preventing risk in the modern banking industry.