Author: Karamjeet Paul Publisher: Elsevier ISBN: 0124172229 Category : Business & Economics Languages : en Pages : 173
Book Description
Managing Extreme Financial Risk addresses the need for better management strategies in light of increased market risk and volatility in financial institutions' revenue models. Top officials from the financial and regulatory industries point to real corporate issues, showing how institutions react to financial crises. From first-hand experiences, they explain how effective sustainability management does not just prevent being blindsided; it also leads to proactive solutions that enhance an institution's strength to weather a sudden financial crisis, add significant shareholder value, and reduce systemic risk. Readable, coherent, and logical, Managing Extreme Financial Risk shows how extreme risk needs to be handled when the cost of being wrong means the difference between life and death of the institution. Based on the firsthand experiences and perspectives of senior-level executives Concentrates on extreme risk, when the cost of being wrong is not the loss of profits, but the death of the institution Written to be easily understood without algorithms, models, and quants
Author: Yannick Malevergne Publisher: Springer Science & Business Media ISBN: 3540272666 Category : Mathematics Languages : en Pages : 312
Book Description
"Clearly elucidates extreme financial risks associated with rare events such as financial crashes. The highlight of the book is the delineation of various copulas in conjunction with financial dependences among different assets of a portfolio. In particular, the insightful discussion on quadrant and orthant dependences casts new light on the connection between marginal models and financial dependence...brings a vivid portrayal of the subject." -- MATHEMATICAL REVIEWS
Author: Thierry Roncalli Publisher: CRC Press ISBN: 1351385224 Category : Business & Economics Languages : en Pages : 987
Book Description
Developed over 20 years of teaching academic courses, the Handbook of Financial Risk Management can be divided into two main parts: risk management in the financial sector; and a discussion of the mathematical and statistical tools used in risk management. This comprehensive text offers readers the chance to develop a sound understanding of financial products and the mathematical models that drive them, exploring in detail where the risks are and how to manage them. Key Features: Written by an author with both theoretical and applied experience Ideal resource for students pursuing a master’s degree in finance who want to learn risk management Comprehensive coverage of the key topics in financial risk management Contains 114 exercises, with solutions provided online at www.crcpress.com/9781138501874
Author: Lev Borodovsky Publisher: Elsevier ISBN: 0080480446 Category : Business & Economics Languages : en Pages : 817
Book Description
Professional's Handbook of Financial Risk Management is a major reference work in finance. A complete practical reference book covering all aspects of financial risk management including an in-depth look at operational risk management, regulation, risk-based capital, and risk adjusted performance measurement. The book focuses on practical financial risk management techniques and solutions, and is designed to guide the risk professional step-by-step through the implementation of a firm-wide risk management framework. This book covers the various roles of the risk management function. Rather than describing every possible role in exhaustive detail, the authors have provided a story line for each of the discussed topics, including practical issues that a risk manager needs to consider when tackling the subject, possible solutions to difficulties that might be encountered, background knowledge that is essential to know, and more intricate practices and techniques that are being used. By providing these fundamentals, the novice risk professional can gain a thorough understanding of the topic in question while the more experienced professional can use some of the more advanced concepts within the book. Thus the book can be used to broaden your own knowledge of the risk world, both by familiarizing yourself with areas in which you lack experience and by enhancing your knowledge in areas that you already have expertise. All authors are leaders in their field who between them have the expertise and knowledge, both practical and theoretical, to produce this definitive risk management guide. The editors of this book, Marc Lore and Lev Borodovsky, are senior financial risk managers at Sanwa Bank (International) London, and Credit Suisse First Boston, USA respectively. They also run The Global Association of Risk Professionals (GARP), the industry association for financial risk management practitioners and researchers. Endorsed by GARP - Global Association of Risk Professionals Authored and edited by leading financial markets risk professionals International in coverage; the concepts and methods covered are not specific to any country or institution, but rather to the risk management profession as a whole
Author: Jon Danielsson Publisher: John Wiley & Sons ISBN: 1119977118 Category : Business & Economics Languages : en Pages : 307
Book Description
Financial Risk Forecasting is a complete introduction to practical quantitative risk management, with a focus on market risk. Derived from the authors teaching notes and years spent training practitioners in risk management techniques, it brings together the three key disciplines of finance, statistics and modeling (programming), to provide a thorough grounding in risk management techniques. Written by renowned risk expert Jon Danielsson, the book begins with an introduction to financial markets and market prices, volatility clusters, fat tails and nonlinear dependence. It then goes on to present volatility forecasting with both univatiate and multivatiate methods, discussing the various methods used by industry, with a special focus on the GARCH family of models. The evaluation of the quality of forecasts is discussed in detail. Next, the main concepts in risk and models to forecast risk are discussed, especially volatility, value-at-risk and expected shortfall. The focus is both on risk in basic assets such as stocks and foreign exchange, but also calculations of risk in bonds and options, with analytical methods such as delta-normal VaR and duration-normal VaR and Monte Carlo simulation. The book then moves on to the evaluation of risk models with methods like backtesting, followed by a discussion on stress testing. The book concludes by focussing on the forecasting of risk in very large and uncommon events with extreme value theory and considering the underlying assumptions behind almost every risk model in practical use – that risk is exogenous – and what happens when those assumptions are violated. Every method presented brings together theoretical discussion and derivation of key equations and a discussion of issues in practical implementation. Each method is implemented in both MATLAB and R, two of the most commonly used mathematical programming languages for risk forecasting with which the reader can implement the models illustrated in the book. The book includes four appendices. The first introduces basic concepts in statistics and financial time series referred to throughout the book. The second and third introduce R and MATLAB, providing a discussion of the basic implementation of the software packages. And the final looks at the concept of maximum likelihood, especially issues in implementation and testing. The book is accompanied by a website - www.financialriskforecasting.com – which features downloadable code as used in the book.
Author: Don M Chance Publisher: World Scientific ISBN: 9811201854 Category : Business & Economics Languages : en Pages : 861
Book Description
In the field of financial risk management, the 'sell side' is the set of financial institutions who offer risk management products to corporations, governments, and institutional investors, who comprise the 'buy side'. The sell side is often at a significant advantage as it employs quantitative experts who provide specialized knowledge. Further, the existing body of knowledge on risk management, while extensive, is highly technical and mathematical and is directed to the sell side.This book levels the playing field by approaching risk management from the buy side instead, focusing on educating corporate and institutional users of risk management products on the essential knowledge they need to be an intelligent buyer. Rather than teach financial engineering, this volume covers the principles that the buy side should know to enable it to ask the right questions and avoid being misled by the complexity often presented by the sell side.Written in a user-friendly manner, this textbook is ideal for graduate and advanced undergraduate classes in finance and risk management, MBA students specializing in finance, and corporate and institutional investors. The text is accompanied by extensive supporting material including exhibits, end-of-chapter questions and problems, solutions, and PowerPoint slides for lecturers.
Author: Gordon L. Clark Publisher: OUP Oxford ISBN: 0191570540 Category : Business & Economics Languages : en Pages : 352
Book Description
Recent market turmoil, bank runs, global equities sell-off, and the 'credit crunch' have demonstrated the sophisticated and interconnected nature of financial markets today - seemingly localized problems have quickly spread, putting at risk the solvency of both local and global financial institutions. As these markets are increasingly complex, interconnected, and embedded in the daily lives of individuals, there is a pressing need to unravel and understand the complexities and prospects of this new and transformative social, political, and geographical paradigm. This book brings together a group of leading scholars from a range of disciplines to formulate a more holistic understanding of financial risk by rooting it in different environments, spatial scales, and disciplines. The result is an all-encompassing exposition of current and future financial risk management practices, possibilities, and problems.
Author: Francis X. Diebold Publisher: Princeton University Press ISBN: 1400835283 Category : Business & Economics Languages : en Pages : 391
Book Description
A clear understanding of what we know, don't know, and can't know should guide any reasonable approach to managing financial risk, yet the most widely used measure in finance today--Value at Risk, or VaR--reduces these risks to a single number, creating a false sense of security among risk managers, executives, and regulators. This book introduces a more realistic and holistic framework called KuU --the K nown, the u nknown, and the U nknowable--that enables one to conceptualize the different kinds of financial risks and design effective strategies for managing them. Bringing together contributions by leaders in finance and economics, this book pushes toward robustifying policies, portfolios, contracts, and organizations to a wide variety of KuU risks. Along the way, the strengths and limitations of "quantitative" risk management are revealed. In addition to the editors, the contributors are Ashok Bardhan, Dan Borge, Charles N. Bralver, Riccardo Colacito, Robert H. Edelstein, Robert F. Engle, Charles A. E. Goodhart, Clive W. J. Granger, Paul R. Kleindorfer, Donald L. Kohn, Howard Kunreuther, Andrew Kuritzkes, Robert H. Litzenberger, Benoit B. Mandelbrot, David M. Modest, Alex Muermann, Mark V. Pauly, Til Schuermann, Kenneth E. Scott, Nassim Nicholas Taleb, and Richard J. Zeckhauser. Introduces a new risk-management paradigm Features contributions by leaders in finance and economics Demonstrates how "killer risks" are often more economic than statistical, and crucially linked to incentives Shows how to invest and design policies amid financial uncertainty
Author: Michael B. Miller Publisher: John Wiley & Sons ISBN: 111952220X Category : Business & Economics Languages : en Pages : 325
Book Description
A mathematical guide to measuring and managing financial risk. Our modern economy depends on financial markets. Yet financial markets continue to grow in size and complexity. As a result, the management of financial risk has never been more important. Quantitative Financial Risk Management introduces students and risk professionals to financial risk management with an emphasis on financial models and mathematical techniques. Each chapter provides numerous sample problems and end of chapter questions. The book provides clear examples of how these models are used in practice and encourages readers to think about the limits and appropriate use of financial models. Topics include: • Value at risk • Stress testing • Credit risk • Liquidity risk • Factor analysis • Expected shortfall • Copulas • Extreme value theory • Risk model backtesting • Bayesian analysis • . . . and much more