Extreme Financial Risks
Title | Extreme Financial Risks PDF eBook |
Author | Yannick Malevergne |
Publisher | Springer Science & Business Media |
Pages | 312 |
Release | 2006-01-16 |
Genre | Mathematics |
ISBN | 3540272666 |
"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
Managing Extreme Financial Risk
Title | Managing Extreme Financial Risk PDF eBook |
Author | Karamjeet Paul |
Publisher | Academic Press |
Pages | 0 |
Release | 2013-10-09 |
Genre | Business & Economics |
ISBN | 9780124172210 |
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
Financial Risk Forecasting
Title | Financial Risk Forecasting PDF eBook |
Author | Jon Danielsson |
Publisher | John Wiley & Sons |
Pages | 307 |
Release | 2011-04-20 |
Genre | Business & Economics |
ISBN | 1119977118 |
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.
Extreme Values and Financial Risk
Title | Extreme Values and Financial Risk PDF eBook |
Author | Saralees Nadarajah |
Publisher | MDPI |
Pages | 115 |
Release | 2019-01-15 |
Genre | Business & Economics |
ISBN | 3038974390 |
This book is a printed edition of the Special Issue "Extreme Values and Financial Risk" that was published in JRFM
Handbook of Financial Risk Management
Title | Handbook of Financial Risk Management PDF eBook |
Author | Thierry Roncalli |
Publisher | CRC Press |
Pages | 1430 |
Release | 2020-04-23 |
Genre | Business & Economics |
ISBN | 1351385224 |
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
Extreme Financial Risks And Asset Allocation
Title | Extreme Financial Risks And Asset Allocation PDF eBook |
Author | Christian Walter |
Publisher | World Scientific |
Pages | 370 |
Release | 2014-01-21 |
Genre | Business & Economics |
ISBN | 1783263105 |
Each financial crisis calls for — by its novelty and the mechanisms it shares with preceding crises — appropriate means to analyze financial risks. In Extreme Financial Risks and Asset Allocation, the authors present in an accessible and timely manner the concepts, methods, and techniques that are essential for an understanding of these risks in an environment where asset prices are subject to sudden, rough, and unpredictable changes. These phenomena, mathematically known as “jumps”, play an important role in practice. Their quantitative treatment is generally tricky and is sparsely tackled in similar books. One of the main appeals of this book lies in its approachable and concise presentation of the ad hoc mathematical tools without sacrificing the necessary rigor and precision.This book contains theories and methods which are usually found in highly technical mathematics books or in scattered, often very recent, research articles. It is a remarkable pedagogical work that makes these difficult results accessible to a large readership. Researchers, Masters and PhD students, and financial engineers alike will find this book highly useful.
Worst-Case Economics
Title | Worst-Case Economics PDF eBook |
Author | Frank Ackerman |
Publisher | Anthem Press |
Pages | 210 |
Release | 2017-10-23 |
Genre | Business & Economics |
ISBN | 1783087080 |
Worst-case scenarios are all too real, and all too common. The financial crisis of 2008 was not the first or the last to destroy jobs, homeownership and the savings of millions of people. Hurricanes clobber communities from New York to Bangladesh. How bad will the next catastrophe be, and how soon will it happen? Climate and financial crises are serious events, requiring vigorous responses. Yet public policy is trapped in an obsolete framework, with a simplistic focus on average or likely outcomes rather than dangerous extremes. What would it take to create better analyses of extreme events in climate and finance, and an appropriate policy framework for worst-case risks? ‘Worst-Case Economics: Extreme Events in Climate and Finance’ offers accessible and surprising answers to these crucial questions.