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Risk Management under UCITS III/IV shows how asset managers, fund administrators, management companies and risk departments can satisfy the various financial regulators, which govern European markets, that they have adequate risk monitoring procedures in place for the funds they manage or administer. The book explains all the requirements for risk management under the new UCITS III/IV regime, as well as the universe of financial instruments which can be used by portfolio managers, and identifies their associated risks and possible mitigation strategies. It is therefore required reading for anyone trying to fully understand and comply with UCITS III/IV requirements.

Risk management deals with prevention, decision-making, action taking, crisis management and recovery, taking into account the consequences of unexpected events. The authors of this book are interested in ecological processes, human behavior, as well as the control and management of life-critical systems, which are potentially highly automated. Three main attributes define life-critical systems, i.e. safety, efficiency and comfort. They typically lead to complex and time-critical issues and can belong to domains such as transportation (trains, cars, aircraft), energy (nuclear, chemical engineering), health, telecommunications, manufacturing and services. The topics covered relate to risk management principles, methods and tools, and reliability assessment: human errors as well as system failures, socio-organizational issues of crisis occurrence and management, co-operative work including human−machine cooperation and CSCW (computer-supported cooperative work): task and function allocation, authority sharing, interactivity, situation awareness, networking and management evolution and lessons learned from Human-Centered Design.

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

A guide to the growing importance of extreme value risk theory, methods, and applications in the financial sector Presenting a uniquely accessible guide, Extreme Events in Finance: A Handbook of Extreme Value Theory and Its Applications features a combination of the theory, methods, and applications of extreme value theory (EVT) in finance and a practical understanding of market behavior including both ordinary and extraordinary conditions. Beginning with a fascinating history of EVTs and financial modeling, the handbook introduces the historical implications that resulted in the applications and then clearly examines the fundamental results of EVT in finance. After dealing with these theoretical results, the handbook focuses on the EVT methods critical for data analysis. Finally, the handbook features the practical applications and techniques and how these can be implemented in financial markets. Extreme Events in Finance: A Handbook of Extreme Value Theory and Its Applications includes: • Over 40 contributions from international experts in the areas of finance, statistics, economics, business, insurance, and risk management • Topical discussions on univariate and multivariate case extremes as well as regulation in financial markets • Extensive references in order to provide readers with resources for further study • Discussions on using R packages to compute the value of risk and related quantities The book is a valuable reference for practitioners in financial markets such as financial institutions, investment funds, and corporate treasuries, financial engineers, quantitative analysts, regulators, risk managers, large-scale consultancy groups, and insurers. Extreme Events in Finance: A Handbook of Extreme Value Theory and Its Applications is also a useful textbook for postgraduate courses on the methodology of EVTs in finance. Fran?ois Longin, PhD, is Professor in the Department of Finance at ESSEC Business School, France. He has been working on the applications of extreme value theory to financial markets for many years, and his research has been applied by financial institutions in the risk management area including market, credit, and operational risks. His research works can be found in scientific journals such as The Journal of Finance. Dr. Longin is currently a financial consultant with expertise covering risk management for financial institutions and portfolio management for asset management firms.