Lecture Notes In Risk Management

Risk management has become one of the key requirements for insightful decision-making. What are risks sources? How are they being managed? This book describes certainty, uncertainty, financial risks, methods of risk mitigation, and risk management. The first chapter of this book represents some milestones in risk management and introduces the main aspects of financial risk management. The following chapters discuss various types of financial risk such as market risk, credit risk, operational risk, liquidity risk, interest rate risk, and other financial risks. The last chapter describes enterprise risk management which binds together all the risks. This book, which is accompanied by PowerPoint presentations, is aimed at lecturers, students, and practitioners with an interest in risk management. The book is the fruit of the authors' long years of work in the field of risk management, serving as a risk management advisor and teaching an MBA-level academic course on the topic for economics and business administration students.

Risk management has become one of the key requirements for insightful decision-making. What are risks sources? How are they being managed? This book describes certainty, uncertainty, financial risks, methods of risk mitigation, and risk management.The first chapter of this book represents some milestones in risk management and introduces the main aspects of financial risk management. The following chapters discuss various types of financial risk such as market risk, credit risk, operational risk, liquidity risk, interest rate risk, and other financial risks. The last chapter describes enterprise risk management which binds together all the risks.This book, which is accompanied by PowerPoint presentations, is aimed at lecturers, students, and practitioners with an interest in risk management. The book is the fruit of the authors' long years of work in the field of risk management, serving as a risk management advisor and teaching an MBA-level academic course on the topic for economics and business administration students.Resources are available to instructors who adopt this book. More details at www.worldscientific.com/worldscibooks/10.1142/13297-sm

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

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

This unique resource provides simulation techniques for financial risk managers ensuring you become well versed in many recent innovations, including Gibbs sampling, the use of heavy-tailed distributions in VaR calculations, construction of volatility smile, and state space modeling. The authors illustrate key concepts with examples and case studies you can reproduce using either S-PLUS® or Visual Basic® and provide exercises so you can apply new concepts and test your knowledge. Simulation Techniques in Financial Risk Management is invaluable both as a resource for risk managers in the financial and actuarial industries and as a coursebook for upper-level undergraduate and graduate courses in simulation and risk management.

Presenting an integrated explanation of speculative trading and risk management from the practitioner's point of view, "Risk Management, Speculation, and Derivative Securities" is a standard text on financial risk management that departs from the perspective of an agent whose main concerns are pricing and hedging derivatives.

This book presents in detail methodologies for the Bayesian estimation of sing- regime and regime-switching GARCH models. These models are widespread and essential tools in n ancial econometrics and have, until recently, mainly been estimated using the classical Maximum Likelihood technique. As this study aims to demonstrate, the Bayesian approach o ers an attractive alternative which enables small sample results, robust estimation, model discrimination and probabilistic statements on nonlinear functions of the model parameters. The author is indebted to numerous individuals for help in the preparation of this study. Primarily, I owe a great debt to Prof. Dr. Philippe J. Deschamps who inspired me to study Bayesian econometrics, suggested the subject, guided me under his supervision and encouraged my research. I would also like to thank Prof. Dr. Martin Wallmeier and my colleagues of the Department of Quantitative Economics, in particular Michael Beer, Roberto Cerratti and Gilles Kaltenrieder, for their useful comments and discussions. I am very indebted to my friends Carlos Ord as Criado, Julien A. Straubhaar, J er ^ ome Ph. A. Taillard and Mathieu Vuilleumier, for their support in the elds of economics, mathematics and statistics. Thanks also to my friend Kevin Barnes who helped with my English in this work. Finally, I am greatly indebted to my parents and grandparents for their support and encouragement while I was struggling with the writing of this thesis.