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Operational Risk

Author: Anna S. Chernobai
Publisher: John Wiley & Sons
ISBN: 9780470410547
Size: 22.86 MB
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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 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.

Operational Risk

Author: Anna S. Chernobai
Publisher: John Wiley & Sons Incorporated
ISBN: 9780471780519
Size: 76.36 MB
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Real solutions and innovative research on operational risk from top thinkers in the field More than 100 operational losses exceeding $100 million in value have impacted firms globally over the past decade. Such large-scale losses have resulted in bankruptcies, mergers, or equity price declines for a large number of prominent financial institutions throughout the world. Operational Risk gives readers a deep understanding of all aspects of operational risk with information on existing loss models for quantification of operational risk and assessment of capital charge. It suggests innovative approaches and new methodologies for modeling operational risk and offers a number of relevant examples from financial institutions. Anna S. Chernobai, PhD (Syracuse, NY), is an Assistant Professor of Finance and Statistics in the M.J. Whitman School of Management at Syracuse University. Svetlozar T. Rachev, PhD, Dr.Sci. (Santa Barbara, CA), is Chair-Professor at the University of Karlsruhe, Germany, in the School of Economics and Business Engineering, Professor Emeritus at the University of California, Santa Barbara, in the Department of Statistics and Applied Probability, and Chief Scientist of FinAnalytica Inc. Frank J. Fabozzi, CFA, CPA (New Hope, PA), is an Adjunct Professor of Finance in the School of Management at Yale University.

Operational Risk Management

Author: Hong Kong Institute of Bankers (HKIB)
Publisher: John Wiley & Sons
ISBN: 0470827688
Size: 43.15 MB
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A practical guide to identifying, analyzing and tackling operational risk in banks and financial institutions Created for banking and finance professionals with a desire to expand their management skill set, this book focuses on operational risk and operational risk events, as distinct from other types of functional risks. It was written by the experts at the world-renowned Hong Kong Institute of Bankers, an organization dedicated to providing the international banking community with education and training. Schools you in techniques for analyzing the operational risk exposure of banking institutions and assessing how operational risk impacts on other types of risk Provides expert guidance on how to design, plan and implement systems for operational risk management and quality control Describes a comprehensive approach to operational risk management that includes data collection, modeling and an overall risk management structure Shows you how to develop operational risk management solutions to help your company minimize losses without negatively impacting its ability to generate gains Offers expert guidance on various regulatory frameworks and how the latest Basel II and Basel III requirements impact a bank's operational risk management strategy and framework

Investment Risk Management

Author: H. Kent Baker
Publisher: Oxford University Press, USA
ISBN: 0199331960
Size: 23.52 MB
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All investments carry with them some degree of risk. In the financial world, individuals, professional money managers, financial institutions and many others encounter and must deal with risk. The main purpose of 'Investment Risk Management' is to provide an overview of developments in risk management and a synthesis of research involving the latest developments in the field.

Bayesian Methods In Finance

Author: Svetlozar T. Rachev
Publisher: John Wiley & Sons
ISBN: 9780470249246
Size: 25.70 MB
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Bayesian Methods in Finance provides a detailed overview of the theory of Bayesian methods and explains their real-world applications to financial modeling. While the principles and concepts explained throughout the book can be used in financial modeling and decision making in general, the authors focus on portfolio management and market risk management—since these are the areas in finance where Bayesian methods have had the greatest penetration to date.

A Probability Metrics Approach To Financial Risk Measures

Author: Svetlozar T. Rachev
Publisher: John Wiley & Sons
ISBN: 1444392697
Size: 50.19 MB
Format: PDF
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A Probability Metrics Approach to Financial Risk Measures relates the field of probability metrics and risk measures to one another and applies them to finance for the first time. Helps to answer the question: which risk measure is best for a given problem? Finds new relations between existing classes of risk measures Describes applications in finance and extends them where possible Presents the theory of probability metrics in a more accessible form which would be appropriate for non-specialists in the field Applications include optimal portfolio choice, risk theory, and numerical methods in finance Topics requiring more mathematical rigor and detail are included in technical appendices to chapters

Encyclopedia Of Financial Models 3 Volume Set

Author: Frank J. Fabozzi
Publisher: John Wiley & Sons
ISBN: 1118539958
Size: 62.63 MB
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An essential reference dedicated to a wide array of financial models, issues in financial modeling, and mathematical and statistical tools for financial modeling The need for serious coverage of financial modeling has never been greater, especially with the size, diversity, and efficiency of modern capital markets. With this in mind, the Encyclopedia of Financial Models, 3 Volume Set has been created to help a broad spectrum of individuals—ranging from finance professionals to academics and students—understand financial modeling and make use of the various models currently available. Incorporating timely research and in-depth analysis, the Encyclopedia of Financial Models is an informative 3-Volume Set that covers both established and cutting-edge models and discusses their real-world applications. Edited by Frank Fabozzi, this set includes contributions from global financial experts as well as academics with extensive consulting experience in this field. Organized alphabetically by category, this reliable resource consists of three separate volumes and 127 entries—touching on everything from asset pricing and bond valuation models to trading cost models and volatility—and provides readers with a balanced understanding of today's dynamic world of financial modeling. Frank Fabozzi follows up his successful Handbook of Finance with another major reference work, The Encyclopedia of Financial Models Covers the two major topical areas: asset valuation for cash and derivative instruments, and portfolio modeling Fabozzi explores the critical background tools from mathematics, probability theory, statistics, and operations research needed to understand these complex models Organized alphabetically by category, this book gives readers easy and quick access to specific topics sorted by an applicable category among them Asset Allocation, Credit Risk Modeling, Statistical Tools 3 Volumes http://onlinelibrary.wiley.com/book/10.1002/9781118182635 Financial models have become increasingly commonplace, as well as complex. They are essential in a wide range of financial endeavors, and this 3-Volume Set will help put them in perspective.

Quantitative Financial Risk Management

Author: Constantin Zopounidis
Publisher: John Wiley & Sons
ISBN: 1118738187
Size: 56.32 MB
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A Comprehensive Guide to Quantitative Financial Risk Management Written by an international team of experts in the field, Quantitative Financial Risk Management: Theory and Practice provides an invaluable guide to the most recent and innovative research on the topics of financial risk management, portfolio management, credit risk modeling, and worldwide financial markets. This comprehensive text reviews the tools and concepts of financial management that draw on the practices of economics, accounting, statistics, econometrics, mathematics, stochastic processes, and computer science and technology. Using the information found in Quantitative Financial Risk Management can help professionals to better manage, monitor, and measure risk, especially in today′s uncertain world of globalization, market volatility, and geo–political crisis. Quantitative Financial Risk Management delivers the information, tools, techniques, and most current research in the critical field of risk management. This text offers an essential guide for quantitative analysts, financial professionals, and academic scholars.

Simulation And Optimization In Finance

Author: Dessislava A. Pachamanova
Publisher: John Wiley & Sons
ISBN: 9780470882122
Size: 11.40 MB
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An introduction to the theory and practice of financial simulation and optimization In recent years, there has been a notable increase in the use of simulation and optimization methods in the financial industry. Applications include portfolio allocation, risk management, pricing, and capital budgeting under uncertainty. This accessible guide provides an introduction to the simulation and optimization techniques most widely used in finance, while at the same time offering background on the financial concepts in these applications. In addition, it clarifies difficult concepts in traditional models of uncertainty in finance, and teaches you how to build models with software. It does this by reviewing current simulation and optimization methodology-along with available software-and proceeds with portfolio risk management, modeling of random processes, pricing of financial derivatives, and real options applications. Contains a unique combination of finance theory and rigorous mathematical modeling emphasizing a hands-on approach through implementation with software Highlights not only classical applications, but also more recent developments, such as pricing of mortgage-backed securities Includes models and code in both spreadsheet-based software (@RISK, Solver, Evolver, VBA) and mathematical modeling software (MATLAB) Filled with in-depth insights and practical advice, Simulation and Optimization Modeling in Finance offers essential guidance on some of the most important topics in financial management.

Correlation Risk Modeling And Management

Author: Gunter Meissner
Publisher: John Wiley & Sons
ISBN: 1118796896
Size: 31.33 MB
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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