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| basel model risk management: International Convergence of Capital Measurement and Capital Standards , 2004 |
| basel model risk management: Operational Risk Modelling and Management Claudio Franzetti, 2016-04-19 Taking into account the standards of the Basel Accord, Operational Risk Modelling and Management presents a simulation model for generating the loss distribution of operational risk. It also examines a multitude of management issues that must be considered when adjusting the quantitative results of a comprehensive model.The book emphasizes techniqu |
| basel model risk management: Credit Risk Management Tony Van Gestel, Bart Baesens, 2009 This first of three volumes on credit risk management, providing a thorough introduction to financial risk management and modelling. |
| basel model risk management: The Validation of Risk Models S. Scandizzo, 2016-07-01 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. |
| basel model risk management: The Basel II Risk Parameters Bernd Engelmann, Robert Rauhmeier, 2011-03-31 The estimation and the validation of the Basel II risk parameters PD (default probability), LGD (loss given fault), and EAD (exposure at default) is an important problem in banking practice. These parameters are used on the one hand as inputs to credit portfolio models and in loan pricing frameworks, on the other to compute regulatory capital according to the new Basel rules. This book covers the state-of-the-art in designing and validating rating systems and default probability estimations. Furthermore, it presents techniques to estimate LGD and EAD and includes a chapter on stress testing of the Basel II risk parameters. The second edition is extended by three chapters explaining how the Basel II risk parameters can be used for building a framework for risk-adjusted pricing and risk management of loans. |
| basel model risk management: Correlation Risk Modeling and Management Gunter Meissner, 2013-12-19 A thorough guide to correlation risk and its growing importance in global financial markets Ideal for anyone studying for CFA, PRMIA, CAIA, or other certifications, Correlation Risk Modeling and Management is the first rigorous guide to the topic of correlation risk. A relatively overlooked type of risk until it caused major unexpected losses during the financial crisis of 2007 through 2009, correlation risk has become a major focus of the risk management departments in major financial institutions, particularly since Basel III specifically addressed correlation risk with new regulations. This offers a rigorous explanation of the topic, revealing new and updated approaches to modelling and risk managing correlation risk. Offers comprehensive coverage of a topic of increasing importance in the financial world Includes the Basel III correlation framework Features interactive models in Excel/VBA, an accompanying website with further materials, and problems and questions at the end of each chapter |
| basel model risk management: Credit Risk Analytics Bart Baesens, Daniel Roesch, Harald Scheule, 2016-10-03 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. |
| basel model risk management: Risk Management Handbook Federal Aviation Administration, 2012-07-03 Every day in the United States, over two million men, women, and children step onto an aircraft and place their lives in the hands of strangers. As anyone who has ever flown knows, modern flight offers unparalleled advantages in travel and freedom, but it also comes with grave responsibility and risk. For the first time in its history, the Federal Aviation Administration has put together a set of easy-to-understand guidelines and principles that will help pilots of any skill level minimize risk and maximize safety while in the air. The Risk Management Handbook offers full-color diagrams and illustrations to help students and pilots visualize the science of flight, while providing straightforward information on decision-making and the risk-management process. |
| basel model risk management: Financial Risk Management and Modeling Constantin Zopounidis, Ramzi Benkraiem, Iordanis Kalaitzoglou, 2021-09-13 Risk is the main source of uncertainty for investors, debtholders, corporate managers and other stakeholders. For all these actors, it is vital to focus on identifying and managing risk before making decisions. The success of their businesses depends on the relevance of their decisions and consequently, on their ability to manage and deal with the different types of risk. Accordingly, the main objective of this book is to promote scientific research in the different areas of risk management, aiming at being transversal and dealing with different aspects of risk management related to corporate finance as well as market finance. Thus, this book should provide useful insights for academics as well as professionals to better understand and assess the different types of risk. |
| basel model risk management: Counterparty Credit Risk Modelling Michael Pykhtin, 2005-01 To enhance your understanding of the risk management, pricing and regulation of counterparty credit risk, this new title offers the most detailed and comprehensive coverage available. Michael Pykhtin, a globally respected expert in credit risk, has combed the industry's most important organisations to assemble a winning team of specialist contributors - presenting you with the definitive insider view. |
| basel model risk management: Operational Risk Anna S. Chernobai, Svetlozar T. Rachev, Frank J. Fabozzi, 2007-06-15 Operational Risk While operational risk has long been regarded as a mere part of other risks—outside the realm of credit and market risk—it has quickly made its way to the forefront of finance. In fact, with implementation of the Basel II Capital Accord already underway, many financial professionals—as well as those preparing to enter this field—must now become familiar with a variety of issues related to operational risk modeling and management. Written by the experienced team of Anna Chernobai, Svetlozar Rachev, and Frank Fabozzi, Operational Risk: A Guide to Basel II Capital Requirements, Models, and Analysis will introduce you to the key concepts associated with this discipline. Filled with in-depth insights, expert advice, and innovative research, this comprehensive guide not only presents you with an abundant amount of information regarding operational risk, but it also walks you through a wide array of examples that will solidify your understanding of the issues discussed. Topics covered include: The main challenges that exist in modeling operational risk The variety of approaches used to model operational losses Value-at-Risk and its role in quantifying and managing operational risk The three pillars of the Basel II Capital Accord And much more |
| basel model risk management: The Basel II Risk Parameters Bernd Engelmann, Robert Rauhmeier, 2006-08-24 A critical problem in the practice of banking risk assessment is the estimation and validation of the Basel II risk parameters PD (default probability), LGD (loss given default), and EAD (exposure at default). This book presents the state-of-the-art in designing and validating rating systems and default probability estimations, and outlines techniques to estimate LGD and EAD. Also included is a chapter on stress testing of the Basel II risk parameters. |
| basel model risk management: Revisiting Risk-Weighted Assets Vanessa Le Leslé, Ms.Sofiya Avramova, 2012-03-01 In this paper, we provide an overview of the concerns surrounding the variations in the calculation of risk-weighted assets (RWAs) across banks and jurisdictions and how this might undermine the Basel III capital adequacy framework. We discuss the key drivers behind the differences in these calculations, drawing upon a sample of systemically important banks from Europe, North America, and Asia Pacific. We then discuss a range of policy options that could be explored to fix the actual and perceived problems with RWAs, and improve the use of risk-sensitive capital ratios. |
| basel model risk management: Structured Credit Products William Perraudin, 2004-01 Written by leading industry participants, regulators and academics active within the market, this new title will help you understand the very latest developments in the pricing, rating and risk management of structured products as well as the related regulatory issues. And to bring you fully up-to-date, Structured Credit Products concludes with a highly topical analysis of the very latest Basel proposals related to structured exposures. |
| basel model risk management: Financial Risk Management Jimmy Skoglund, Wei Chen, 2015-09-04 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. |
| basel model risk management: Advances in Credit Risk Modeling and Management Frédéric Vrins, 2020-07-01 Credit risk remains one of the major risks faced by most financial and credit institutions. It is deeply connected to the real economy due to the systemic nature of some banks, but also because well-managed lending facilities are key for wealth creation and technological innovation. This book is a collection of innovative papers in the field of credit risk management. Besides the probability of default (PD), the major driver of credit risk is the loss given default (LGD). In spite of its central importance, LGD modeling remains largely unexplored in the academic literature. This book proposes three contributions in the field. Ye & Bellotti exploit a large private dataset featuring non-performing loans to design a beta mixture model. Their model can be used to improve recovery rate forecasts and, therefore, to enhance capital requirement mechanisms. François uses instead the price of defaultable instruments to infer the determinants of market-implied recovery rates and finds that macroeconomic and long-term issuer specific factors are the main determinants of market-implied LGDs. Cheng & Cirillo address the problem of modeling the dependency between PD and LGD using an original, urn-based statistical model. Fadina & Schmidt propose an improvement of intensity-based default models by accounting for ambiguity around both the intensity process and the recovery rate. Another topic deserving more attention is trade credit, which consists of the supplier providing credit facilities to his customers. Whereas this is likely to stimulate exchanges in general, it also magnifies credit risk. This is a difficult problem that remains largely unexplored. Kanapickiene & Spicas propose a simple but yet practical model to assess trade credit risk associated with SMEs and microenterprises operating in Lithuania. Another topical area in credit risk is counterparty risk and all other adjustments (such as liquidity and capital adjustments), known as XVA. Chataignier & Crépey propose a genetic algorithm to compress CVA and to obtain affordable incremental figures. Anagnostou & Kandhai introduce a hidden Markov model to simulate exchange rate scenarios for counterparty risk. Eventually, Boursicot et al. analyzes CoCo bonds, and find that they reduce the total cost of debt, which is positive for shareholders. In a nutshell, all the featured papers contribute to shedding light on various aspects of credit risk management that have, so far, largely remained unexplored. |
| basel model risk management: Credit Risk Niklas Wagner, 2008-05-28 Featuring contributions from leading international academics and practitioners, Credit Risk: Models, Derivatives, and Management illustrates how a risk management system can be implemented through an understanding of portfolio credit risks, a set of suitable models, and the derivation of reliable empirical results. Divided into six sectio |
| basel model risk management: Rating Based Modeling of Credit Risk Stefan Trueck, Svetlozar T. Rachev, 2009-01-15 In the last decade rating-based models have become very popular in credit risk management. These systems use the rating of a company as the decisive variable to evaluate the default risk of a bond or loan. The popularity is due to the straightforwardness of the approach, and to the upcoming new capital accord (Basel II), which allows banks to base their capital requirements on internal as well as external rating systems. Because of this, sophisticated credit risk models are being developed or demanded by banks to assess the risk of their credit portfolio better by recognizing the different underlying sources of risk. As a consequence, not only default probabilities for certain rating categories but also the probabilities of moving from one rating state to another are important issues in such models for risk management and pricing. It is widely accepted that rating migrations and default probabilities show significant variations through time due to macroeconomics conditions or the business cycle. These changes in migration behavior may have a substantial impact on the value-at-risk (VAR) of a credit portfolio or the prices of credit derivatives such as collateralized debt obligations (D+CDOs). In Rating Based Modeling of Credit Risk the authors develop a much more sophisticated analysis of migration behavior. Their contribution of more sophisticated techniques to measure and forecast changes in migration behavior as well as determining adequate estimators for transition matrices is a major contribution to rating based credit modeling. Internal ratings-based systems are widely used in banks to calculate their value-at-risk (VAR) in order to determine their capital requirements for loan and bond portfolios under Basel II One aspect of these ratings systems is credit migrations, addressed in a systematic and comprehensive way for the first time in this book The book is based on in-depth work by Trueck and Rachev |
| basel model risk management: Risk Management and Corporate Governance Organization for Economic Cooperation and Development, 2014 This sixth peer review of the OECD Principles of Corporate Governance analyses the corporate governance framework and practices relating to corporate risk management, in the private sector and in state-owned enterprises. The review covers 26 jurisdictions and is based on a general survey of all participating jurisdictions in December 2012, as well as an in-depth review of corporate risk management in Norway, Singapore and Switzerland. The report finds that while risk-taking is a fundamental driving force in business and entrepreneurship, the cost of risk management failures is often underestimated, both externally and internally, including the cost in terms of management time needed to rectify the situation. The reports thus concludes that corporate governance should ensure that risks are understood, managed, and, when appropriate, communicated. |
| basel model risk management: Managing Portfolio Credit Risk in Banks: An Indian Perspective Arindam Bandyopadhyay, 2016-05-09 This book explains how a proper credit risk management framework enables banks to identify, assess and manage the risk proactively. |
| basel model risk management: Bank Regulation, Risk Management, and Compliance Alexander Dill, 2019-10-01 Bank Regulation, Risk Management, and Compliance is a concise yet comprehensive treatment of the primary areas of US banking regulation – micro-prudential, macroprudential, financial consumer protection, and AML/CFT regulation – and their associated risk management and compliance systems. The book’s focus is the US, but its prolific use of standards published by the Basel Committee on Banking Supervision and frequent comparisons with UK and EU versions of US regulation offer a broad perspective on global bank regulation and expectations for internal governance. The book establishes a conceptual framework that helps readers to understand bank regulators’ expectations for the risk management and compliance functions. Informed by the author’s experience at a major credit rating agency in helping to design and implement a ratings compliance system, it explains how the banking business model, through credit extension and credit intermediation, creates the principal risks that regulation is designed to mitigate: credit, interest rate, market, and operational risk, and, more broadly, systemic risk. The book covers, in a single volume, the four areas of bank regulation and supervision and the associated regulatory expectations and firms’ governance systems. Readers desiring to study the subject in a unified manner have needed to separately consult specialized treatments of their areas of interest, resulting in a fragmented grasp of the subject matter. Banking regulation has a cohesive unity due in large part to national authorities’ agreement to follow global standards and to the homogenizing effects of the integrated global financial markets. The book is designed for legal, risk, and compliance banking professionals; students in law, business, and other finance-related graduate programs; and finance professionals generally who want a reference book on bank regulation, risk management, and compliance. It can serve both as a primer for entry-level finance professionals and as a reference guide for seasoned risk and compliance officials, senior management, and regulators and other policymakers. Although the book’s focus is bank regulation, its coverage of corporate governance, risk management, compliance, and management of conflicts of interest in financial institutions has broad application in other financial services sectors. Chapter 6 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license. |
| basel model risk management: The Analytics of Risk Model Validation George A. Christodoulakis, Stephen Satchell, 2007-11-14 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 |
| basel model risk management: Introduction to Credit Risk Modeling Christian Bluhm, Ludger Overbeck, Christoph Wagner, 2016-04-19 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 |
| basel model risk management: Practical Credit Risk and Capital Modeling, and Validation Colin Chen, |
| basel model risk management: The Banker's Handbook on Credit Risk Morton Glantz, Johnathan Mun, 2008-04-23 The Banker's Handbook on Credit Risk shows you how to comply with Basel II regulations on credit risk step by step, building on the basics in credit risk up to advanced credit risk methodologies. This advanced credit/risk management book takes a new tools approach to Basel II implementation. The hands-on applications covered in this book are vast, including areas of Basel II banking risk requirements (credit risk, credit spreads, default risk, value at risk, market risk, and so forth) and financial analysis (exotic options and valuation), to risk analysis (stochastic forecasting, risk-based Monte Carlo simulation, portfolio optimization) and real options analysis (strategic options and decision analysis). This book is targeted at banking practitioners and financial analysts who require the algorithms, examples, models, and insights in solving more advanced and even esoteric problems. The book comes complete with a DVD filled with sample modeling videos, case studies, and software applications to help the reader get started immediately. The various trial software applications included allows the reader to quickly access the approximately 670 modeling functions, 250 analytical model templates, and powerful risk-based simulation software to help in the understanding and learning of the concepts covered in the book, and also to use the embedded functions and algorithms in their own models. In addition, the reader can get started quickly in running risk-based Monte Carlo simulations, run advanced forecasting methods, and perform optimization on a myriad of situations, as well as structure and solve customized real options and financial options problems. - Only book to show bankers step by step how to comply with Basel II regulations on credit risk - Over 150 hands-on software applications included on the DVD accompanying the book, including sample modeling videos - Provides all the latest quantitative tools |
| basel model risk management: Risk Management and Regulation Tobias Adrian, 2018-08-01 The evolution of risk management has resulted from the interplay of financial crises, risk management practices, and regulatory actions. In the 1970s, research lay the intellectual foundations for the risk management practices that were systematically implemented in the 1980s as bond trading revolutionized Wall Street. Quants developed dynamic hedging, Value-at-Risk, and credit risk models based on the insights of financial economics. In parallel, the Basel I framework created a level playing field among banks across countries. Following the 1987 stock market crash, the near failure of Salomon Brothers, and the failure of Drexel Burnham Lambert, in 1996 the Basel Committee on Banking Supervision published the Market Risk Amendment to the Basel I Capital Accord; the amendment went into effect in 1998. It led to a migration of bank risk management practices toward market risk regulations. The framework was further developed in the Basel II Accord, which, however, from the very beginning, was labeled as being procyclical due to the reliance of capital requirements on contemporaneous volatility estimates. Indeed, the failure to measure and manage risk adequately can be viewed as a key contributor to the 2008 global financial crisis. Subsequent innovations in risk management practices have been dominated by regulatory innovations, including capital and liquidity stress testing, macroprudential surcharges, resolution regimes, and countercyclical capital requirements. |
| basel model risk management: Model Risk Management with SAS SAS, 2020-06-29 Cut through the complexity of model risk management with a guide to solutions from SAS! There is an increasing demand for more model governance and model risk awareness. At the same time, high-performing models are expected to be deployed faster than ever. SAS Model Risk Management is a user-friendly, web-based application that facilitates the capture and life cycle management of statistical model-related information. It enables all stakeholders in the model life cycle — developers, validators, internal audit, and management – to get overview reports as well as detailed information in one central place. Model Risk Management with SAS introduces you to the features and capabilities of this software, including the entry, collection, transfer, storage, tracking, and reporting of models that are drawn from multiple lines of business across an organization. This book teaches key concepts, terminology, and base functionality that are integral to SAS Model Risk Management through hands-on examples and demonstrations. With this guide to SAS Model Risk Management, your organization can be confident it is making fact-based decisions and mitigating model risk. |
| basel model risk management: From Basel I to Basel III: Sequencing Implementation in Developing Economies Caio Ferreira, Nigel Jenkinson, Christopher Wilson, 2019-06-14 Developing economies can strengthen their financial systems by implementing the main elements of global regulatory reform. But to build an effective prudential framework, they may need to adapt international standards taking into account the sophistication and size of their financial institutions, the relevance of different financial operations in their market, the granularity of information available and the capacity of their supervisors. Under a proportionate application of the Basel standards, smaller institutions with less complex business models would be subject to a simpler regulatory framework that enhances the resilience of the financial sector without generating disproportionate compliance costs. This paper provides guidance on how non-Basel Committee member countries could incorporate banks’ capital and liquidity standards into their framework. It builds on the experience gained by the authors in the course of their work in providing technical assistance on—and assessing compliance with—international standards in banking supervision. |
| basel model risk management: Credit Risk Models and the Basel Accords Donald R. Van Deventer, Mark Mesler, 2003-06-25 The Bank for International Settlements is only 1-2 years away from effectively requiring all major financial institutions in the world to use a sophisticated credit models. The most widely used model is based on the 1974 Merton model of risky debt. A more recent extension of the Merton model of risky debt is the Shimko, Tejima and van Deventer (1993) model, which allows for simultaneous analysis of credit risk and interest rate risk. Increasingly, however, bankers are turning to a newer class of models called reduced form credit models because of their analytical power for both complex derivatives like credit derivatives and the mark to market of loans on a credit adjusted basis. The Basel Capital Accords place a heavy emphasis on financial institutions' ability to assess credit risk. In this book, two of the world's best-known risk management experts assess both the Merton model and reduced form credit models and show exactly how to measure model performance as the Basel Accords require. They use the same tests to assess the likely effectiveness of the Basel Capital Accords in measuring the safety and soundness of financial institutions. The authors go into great detail in assessing the ability of leading credit models to evaluate collateralized debt obligations, loan commitments, collateralized loans, as well as retail and small business loan portfolios. Credit Risk Models and the Basel Accords reviews the objectives of the credit risk management process, introduces the theory of the Merton and reduced form credit models, shows how the models can be used in practice, and then examines a wide range of historical data to show the relative performance of the models in practice. This book offers a balanced review of the newer reduced form models and the older Merton model. It is an invaluable guide for financial institutions striving to meet the requirements of the new Basel Accord. It is a book that thoroughly reviews the pros and cons of both classes of credit model. The Basel Accords ensure that financial institutions do more than just have a model - they must also understand how they work. This book will help to fulfill that requirement of the new Basel Accords. |
| basel model risk management: Operational Risk Capital Models Rafael Cavestany, Brenda Boultwood, Laureano F. Escudero, 2015 Operational Risk Capital Models is a guide for the implementation of state of the art operational risk capital models suitable for regulatory approval. For insurers, Solvency II implementation has created the need, in both highly developed and less developed markets, for the development of these models that help to better understand risks, safe capital and compliance. For the banking industry, regulators in many countries in Africa, Asia and Latin America (as well as Europe) are pressing their local banks to implement advanced operational risk capital models. Banks that have made early implementation are looking to improve their capital models with new advances to match the increasing regulatory requirements. Operational Risk Capital Models enables you to model your operational risk capital to ensure the model meets regulatory standards. It describes the process end to end, from the capture of the required data to the modelling and VaR calculation, as well as the integration of capital results into your institution's daily risk management. --Contratapa. |
| basel model risk management: How Markets Fail Cassidy John, John Cassidy, 2013-01-31 How did we get to where we are? John Cassidy shows that the roots of our most recent financial failure lie not with individuals, but with an idea - the idea that markets are inherently rational. He gives us the big picture behind the financial headlines, tracing the rise and fall of free market ideology from Adam Smith to Milton Friedman and Alan Greenspan. Full of wit, sense and, above all, a deeper understanding, How Markets Fail argues for the end of 'utopian' economics, and the beginning of a pragmatic, reality-based way of thinking. A very good history of economic thought Economist How Markets Fail offers a brilliant intellectual framework . . . fine work New York Times An essential, grittily intellectual, yet compelling guide to the financial debacle of 2009 Geordie Greig, Evening Standard A powerful argument . . . Cassidy makes a compelling case that a return to hands-off economics would be a disaster BusinessWeek This book is a well constructed, thoughtful and cogent account of how capitalism evolved to its current form Telegraph Books of the Year recommendation John Cassidy ... describe[s] that mix of insight and madness that brought the world's system to its knees FT, Book of the Year recommendation Anyone who enjoys a good read can safely embark on this tour with Cassidy as their guide . . . Like his colleague Malcolm Gladwell [at the New Yorker], Cassidy is able to lead us with beguiling lucidity through unfamiliar territory New Statesman John Cassidy has covered economics and finance at The New Yorker magazine since 1995, writing on topics ranging from Alan Greenspan to the Iraqi oil industry and English journalism. He is also now a Contributing Editor at Portfolio where he writes the monthly Economics column. Two of his articles have been nominated for National Magazine Awards: an essay on Karl Marx, which appeared in October, 1997, and an account of the death of the British weapons scientist David Kelly, which was published in December, 2003. He has previously written for Sunday Times in as well as the New York Post, where he edited the Business section and then served as the deputy editor. In 2002, Cassidy published his first book, Dot.Con. He lives in New York. |
| basel model risk management: Bank Management and Control Johannes Wernz, 2013-11-08 Strategic planning, including the required quantitative methods, is an essential part of bank management and control. In this book capital, risk and yield are treated comprehensively and seamlessly. And a thorough introduction to the advanced methods of risk management for all sectors of banking is discussed. In addition, directly applicable concepts and data such as macroeconomic scenarios for strategic planning and stress testing as well as detailed scenarios for operational risk and advanced concepts for credit risk are presented in straightforward language. The book analyzes the effects of macroeconomic and regulatory developments such as the set of Basel III rules on planning, and it also presents and discusses the consequences for actively meeting these challenges, especially in terms of capital. A wealth of essential background information from practice, international observations and comparisons, along with numerous illustrative examples, make this book a useful resource for established and future professionals in bank management, risk/return management, controlling and accounting. |
| basel model risk management: The Basel Committee on Banking Supervision Charles Goodhart, 2011-08-25 The Basel Committee on Banking Supervision (BCBS) sets the guidelines for world-wide regulation of banks. It is the forum for agreeing international regulation on the conduct of banking. Based on special access to the archives of the BCBS and interviews with many of its key players, this book tells the story of the early years of the Committee from its foundation in 1974/5 right through until 1997 - the year that marks the watershed between the Basel I Accord on Capital Adequacy and the start of work on Basel II. In addition, the book covers the Concordat, the Market Risk Amendment, the Core Principles of Banking and all other facets of the work of the BCBS. While the book is primarily a record of the history of the BCBS, it also provides an assessment of its actions and efficacy. It is a major contribution to the historical record on banking supervision. |
| basel model risk management: Interest Rate Risk in the Banking Book PAUL. NEWSON, 2017 |
| basel model risk management: Risk Management and Shareholders Value in Banking Andrea Resti, Andrea Sironi, 2016-06-27 Risk Management and Shareholders' Value in Banking provides an integrated framework for risk measurement, capital management and value creation in banks covering interest rate risk; market risk; credit risk; operational risk; capital regulation; capital management; and value creation. Updated to include coverage of the most recent developments in banking regulation, including comprehensive coverage of the new Basel III regulatory framework the book is structured in six parts. Part I covers the measurement and management of the interest rate risk and liquidity risk on all assets and liabilities of a banking institution. This includes a discussion of gapping models, presented critically through numerical examples and solutions, internal transfer rates, gapping techniques, liquidity risk management. Part II presents portfolio models for market risks, including the “variance/covariance” approach, Monte Carlo / historical simulations, backtesting, alternative risk measures (e.g. expected shortfall) and volatility estimation techniques. Part III addresses credit risk measurement, first on a stand-alone basis, then at a portfolio level; it also includes chapters on scoring models, rating systems, recovery risk, counterparty risk for OTC derivatives, and practical applications of credit risk models. Part IV deals with operational risk before part V goes on to illustrate the main pieces of regulation on bank capital issued by the Basel Committee, the main focus being on Basel 2 (insofar it has not been changed by the latest regulatory wave) and Basel 3. Part VI presents the link between risk and capital in all its implications, and provides the reader with the technical models needed to allocate capital to risk-taking units, set risk-adjusted profitability targets, and optimize the amount and composition of bank capital. By bringing together the core aspects of risk management in banking - models and algorithms, regulation, process engineering and management, and strategic planning – the book provides a unique and consistent framework showing how financial risks can be understood, measured, managed and covered with capital. The book is accompanied by a website which includes a series of excel files with detailed explanations of all the numerical examples shown in the book, as well as solutions to the end of chapter exercises. |
| basel model risk management: Risk Management in Banking Joël Bessis, 2015-04-30 The seminal guide to risk management, streamlined and updated Risk Management in Banking is a comprehensive reference for the risk management industry, covering all aspects of the field. Now in its fourth edition, this useful guide has been updated with the latest information on ALM, Basel 3, derivatives, liquidity analysis, market risk, structured products, credit risk, securitizations, and more. The new companion website features slides, worked examples, a solutions manual, and the new streamlined, modular approach allows readers to easily find the information they need. Coverage includes asset liability management, risk-based capital, value at risk, loan portfolio management, capital allocation, and other vital topics, concluding with an examination of the financial crisis through the utilisation of new views such as behavioural finance and nonlinearity of risk. Considered a seminal industry reference since the first edition's release, Risk Management in Banking has been streamlined for easy navigation and updated to reflect the changes in the field, while remaining comprehensive and detailed in approach and coverage. Students and professionals alike will appreciate the extended scope and expert guidance as they: Find all need-to-know risk management topics in a single text Discover the latest research and the new practices Understand all aspects of risk management and banking management See the recent crises – and the lessons learned – from a new perspective Risk management is becoming increasingly vital to the banking industry even as it grows more complex. New developments and advancing technology continue to push the field forward, and professionals need to stay up-to-date with in-depth information on the latest practices. Risk Management in Banking provides a comprehensive reference to the most current state of the industry, with complete information and expert guidance. |
| basel model risk management: Credit Risk Management Tony Van Gestel, Bart Baesens, 2008-10-23 Credit Risk Management: Basic Concepts is the first book of a series of three with the objective of providing an overview of all aspects, steps, and issues that should be considered when undertaking credit risk management, including the Basel II Capital Accord, which all major banks must comply with in 2008. The introduction of the recently suggested Basel II Capital Accord has raised many issues and concerns about how to appropriately manage credit risk. Managing credit risk is one of the next big challenges facing financial institutions. The importance and relevance of efficiently managing credit risk is evident from the huge investments that many financial institutions are making in this area, the booming credit industry in emerging economies (e.g. Brazil, China, India, ...), the many events (courses, seminars, workshops, ...) that are being organised on this topic, and the emergence of new academic journals and magazines in the field (e.g. Journal of Credit Risk, Journal of Risk Model Validation, Journal of Risk Management in Financial Institutions, ...). Basic Concepts provides the introduction to the concepts, techniques, and practical examples to guide both young and experienced practitioners and academics in the fascinating, but complex world of risk modelling. Financial risk management, an area of increasing importance with the recent Basel II developments, is discussed in terms of practical business impact and the increasing profitability competition, laying the foundation for books II and III. |
| basel model risk management: Risk Model Validation Peter Quell, 2016 |
| basel model risk management: Understanding and Managing Model Risk Massimo Morini, 2011-10-20 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. |
| basel model risk management: Risk Management and Regulation in Banking Dan Galai, 1999-08-31 Globalization of financial markets and policy changes in the regulation of financial institutions have impacted upon how commercial banks manage risk. These changes prompted an international conference in 1997, on risk management and regulation in banking. This book contains the formal papers. |
Basel - Wikipedia
Basel (/ ˈ b ɑː z əl / BAH-zəl; Swiss Standard German: ⓘ), also known as Basle (/ b ɑː l / BAHL), [note 1] is a city in northwestern Switzerland on the river Rhine (at the transition from the High …
Basel City [Switzerland] | Sightseeing, Events 2025
Basel, Switzerland, is a place of exciting contrasts. A city with historical buildings next to modern architecture. Where a young and dynamic art scene exists alongside world-renowned …
Basel - Switzerland Tourism
Basel is located in the northwest of Switzerland in the border triangle between Germany, France and Switzerland. The city on the Rhine is considered the country’s art and culture capital. …
15 Best Things to Do in Basel (Switzerland) - The Crazy Tourist
Jan 26, 2020 · Cosy, walkable and straddling the Rhine, Basel is at the tripoint where the Swiss, German and French borders meet. Basel’s art and culture put it on an equal footing with …
Basel, Switzerland: All You Must Know Before You Go (2025 ... - Tripadvisor
Located on the Rhine River near the borders of France and Germany, Basel contains the country's highest concentration of museums. The culture-centric city, site of the world's most …
Basel | Switzerland, Map, History, & Facts | Britannica
May 30, 2025 · Basel, capital of the Halbkanton (demicanton) of Basel-Stadt (with which it is virtually coextensive), northern Switzerland. It lies along the Rhine River, at the mouths of the …
Tourist Information - basel.com
Before and during your visit to Basel, Basel Tourism is your contact for up-to-date information and personal assistance. We will share with you ideas on how to make your stay even better.
Sightseeing and places of interest in Basel [Switzerland]
Discover Basel's sights:★ 2000 years of history ★ from old town to modern times ☆ all highlights in Basel & region can be found here.
Basel - your complete city guide with activities, hotels and travel tips
Feb 3, 2025 · Basel is a large city in the north-west of Switzerland, close to the German and French borders. It's located on the river Rhine. Basel is modern and has business and industry …
Art Basel 2025: Masterpieces, new galleries, and swimming the …
SS: Basel is a great place for art world community-building, it’s such a manageable city.How does Art Basel extend beyond the fair itself this year? MC: Parcours is a free exhibition that unfolds …
Basel - Wikipedia
Basel (/ ˈ b ɑː z əl / BAH-zəl; Swiss Standard German: ⓘ), also known as Basle (/ b ɑː l / BAHL), [note 1] is a city in northwestern Switzerland on the river Rhine (at the transition from the High …
Basel City [Switzerland] | Sightseeing, Events 2025
Basel, Switzerland, is a place of exciting contrasts. A city with historical buildings next to modern architecture. Where a young and dynamic art scene exists alongside world-renowned …
Basel - Switzerland Tourism
Basel is located in the northwest of Switzerland in the border triangle between Germany, France and Switzerland. The city on the Rhine is considered the country’s art and culture capital. …
15 Best Things to Do in Basel (Switzerland) - The Crazy Tourist
Jan 26, 2020 · Cosy, walkable and straddling the Rhine, Basel is at the tripoint where the Swiss, German and French borders meet. Basel’s art and culture put it on an equal footing with …
Basel, Switzerland: All You Must Know Before You Go (2025 ... - Tripadvisor
Located on the Rhine River near the borders of France and Germany, Basel contains the country's highest concentration of museums. The culture-centric city, site of the world's most …
Basel | Switzerland, Map, History, & Facts | Britannica
May 30, 2025 · Basel, capital of the Halbkanton (demicanton) of Basel-Stadt (with which it is virtually coextensive), northern Switzerland. It lies along the Rhine River, at the mouths of the …
Tourist Information - basel.com
Before and during your visit to Basel, Basel Tourism is your contact for up-to-date information and personal assistance. We will share with you ideas on how to make your stay even better.
Sightseeing and places of interest in Basel [Switzerland]
Discover Basel's sights:★ 2000 years of history ★ from old town to modern times ☆ all highlights in Basel & region can be found here.
Basel - your complete city guide with activities, hotels and travel tips
Feb 3, 2025 · Basel is a large city in the north-west of Switzerland, close to the German and French borders. It's located on the river Rhine. Basel is modern and has business and industry …
Art Basel 2025: Masterpieces, new galleries, and swimming the …
SS: Basel is a great place for art world community-building, it’s such a manageable city.How does Art Basel extend beyond the fair itself this year? MC: Parcours is a free exhibition that unfolds …
