Essential insights on the various aspects of enterprise risk management If you want to understand enterprise risk management from some of the leading academics and practitioners of this exciting new methodology, Enterprise Risk Management is the book for you. Through in-depth insights into what practitioners of this evolving business practice are actually doing as well as anticipating what needs to be taught on the topic, John Fraser and Betty Simkins have sought out the leading experts in this field to clearly explain what enterprise risk management is and how you can teach, learn, and implement these leading practices within the context of your business activities. In this book, the authors take a broad view of ERM, or what is called a holistic approach to ERM. Enterprise Risk Management introduces you to the wide range of concepts and techniques for managing risk in a holistic way that correctly identifies risks and prioritizes the appropriate responses. This invaluable guide offers a broad overview of the different types of techniques: the role of the board, risk tolerances, risk profiles, risk workshops, and allocation of resources, while focusing on the principles that determine business success. This comprehensive resource also provides a thorough introduction to enterprise risk management as it relates to credit, market, and operational risk, as well as the evolving requirements of the rating agencies and their importance to the overall risk management in a corporate setting. Filled with helpful tables and charts, Enterprise Risk Management offers a wealth of knowledge on the drivers, the techniques, the benefits, as well as the pitfalls to avoid, in successfully implementing enterprise risk management. Discusses the history of risk management and more recently developed enterprise risk management practices and how you can prudently implement these techniques within the context of your underlying business activities Provides coverage of topics such as the role of the chief risk officer, the use of anonymous voting technology, and risk indicators and their role in risk management Explores the culture and practices of enterprise risk management without getting bogged down by the mathematics surrounding the more conventional approaches to financial risk management This informative guide will help you unlock the incredible potential of enterprise risk management, which has been described as a proxy for good management.

This is the first book to introduce the full spectrum of security and risks and their management. Author and field expert Bruce Newsome helps readers learn how to understand, analyze, assess, control, and generally manage security and risks from the personal to the operational. They will develop the practical knowledge and skills they need, including analytical skills, basic mathematical methods for calculating risk in different ways, and more artistic skills in making judgments and decisions about which risks to control and how to control them. Organized into 16 brief chapters, the book shows readers how to: analyze security and risk; identify the sources of risk (including hazards, threats, and contributors); analyze exposure and vulnerability; assess uncertainty and probability; develop an organization’s culture, structure, and processes congruent with better security and risk management; choose different strategies for managing risks; communicate and review; and manage security in the key domains of operations, logistics, physical sites, information, communications, cyberspace, transport, and personal levels.

For upper level undergraduate/graduate courses in Principles of Insurance and Risk Management. Drawing from the author's extensive teaching experience, this book introduces students to basic insurance concepts from the consumer's point of view and equips them with the tools to make intelligent, informed insurance purchasing decisions. The tenth edition has been reorganized and fully updated to highlight the increased importance of risk management and insurance in business and society. In particular, the tenth edition refocuses its attention on corporate risk management, reflecting its growing importance in today's economy.

The quantitative modeling of complex systems of interacting risks is a fairly recent development in the financial and insurance industries. Over the past decades, there has been tremendous innovation and development in the actuarial field. In addition to undertaking mortality and longevity risks in traditional life and annuity products, insurers face unprecedented financial risks since the introduction of equity-linking insurance in 1960s. As the industry moves into the new territory of managing many intertwined financial and insurance risks, non-traditional problems and challenges arise, presenting great opportunities for technology development. Today's computational power and technology make it possible for the life insurance industry to develop highly sophisticated models, which were impossible just a decade ago. Nonetheless, as more industrial practices and regulations move towards dependence on stochastic models, the demand for computational power continues to grow. While the industry continues to rely heavily on hardware innovations, trying to make brute force methods faster and more palatable, we are approaching a crossroads about how to proceed. An Introduction to Computational Risk Management of Equity-Linked Insurance provides a resource for students and entry-level professionals to understand the fundamentals of industrial modeling practice, but also to give a glimpse of software methodologies for modeling and computational efficiency. Features Provides a comprehensive and self-contained introduction to quantitative risk management of equity-linked insurance with exercises and programming samples Includes a collection of mathematical formulations of risk management problems presenting opportunities and challenges to applied mathematicians Summarizes state-of-arts computational techniques for risk management professionals Bridges the gap between the latest developments in finance and actuarial literature and the practice of risk management for investment-combined life insurance Gives a comprehensive review of both Monte Carlo simulation methods and non-simulation numerical methods Runhuan Feng is an Associate Professor of Mathematics and the Director of Actuarial Science at the University of Illinois at Urbana-Champaign. He is a Fellow of the Society of Actuaries and a Chartered Enterprise Risk Analyst. He is a Helen Corley Petit Professorial Scholar and the State Farm Companies Foundation Scholar in Actuarial Science. Runhuan received a Ph.D. degree in Actuarial Science from the University of Waterloo, Canada. Prior to joining Illinois, he held a tenure-track position at the University of Wisconsin-Milwaukee, where he was named a Research Fellow. Runhuan received numerous grants and research contracts from the Actuarial Foundation and the Society of Actuaries in the past. He has published a series of papers on top-tier actuarial and applied probability journals on stochastic analytic approaches in risk theory and quantitative risk management of equity-linked insurance. Over the recent years, he has dedicated his efforts to developing computational methods for managing market innovations in areas of investment combined insurance and retirement planning.

If you've been tasked with building a team to handle risk management for online payments (RMP), this practical introduction provides a framework for choosing the technologies and personnel you need. Author and financial services executive Ohad Samet explains the components of payments risk management, and presents a coherent strategy and operational approach. You'll learn the answers to questions you're likely to encounter in the first 18 months of operation, with information that Samet has shaped and tested over several years in the industry. This book is ideal whether you intend to be a one-person task force or work with dozens of agents and analysts. Use both a portfolio and behavioral approach to analyzing and optimizing losses Learn about your customers to determine if they can and will meet obligations Build an RMP team for payment risk operations, analytics, and decision automation Use linking mechanisms and velocity models to detect unusual activity among your customers Design system and data architecture to facilitate your activity analysis Implement the decision and loss-reduction mechanisms you need to act on your findings

In business, mistakes and errors will inevitably occur. As such, organizations must be constantly alert and ready to meet challenges head-on. Risk and Contingency Management: Breakthroughs in Research and Practice is a comprehensive reference source for the latest scholarly material on trends and techniques for the prediction and evaluation of financial risks and how to diminish their effect. Highlighting a range of pertinent topics such as project management, risk auditing and reporting, and resource management, this multi-volume book is ideally designed for researchers, academics, professionals, managers, students, and practitioners interested in risk and contingency management.

Written for safety and loss-control, environmental, and quality managers, this is the first comprehensive, integrated guide to developing a complete environmental risk analysis for regulated substances and processes. Unlike other books, Introduction to Risk Analysis looks at risk from a regulatory perspective, allowing both professionals in regulatory agencies concerned with risk_including OSHA, EPA, USDA, DOT, FDA, and state environmental agencies_and professionals in any agency-regulated industry to understand and implement the methods required for proper risk assessment. The authors examine risk and the structure of analysis. Emphasizing the predictive nature of risk, they discuss the quantitative nature of risk and explore quantitative-analysis topics, including data graphing, logarithmic thinking, risk estimating, and curve fitting. Chapters include discussions on functions, models, and uncertainties; the regulatory process; risk assessment; exposure; dosimetry; epidemiology; toxicology; risk characterization; comparative risk assessment; ecological risk assessment; risk management; and risk communication. Six in-depth case studies, an annotated bibliography, and more than 50 figures are also included.