Risk An Introduction

An introductory guide to the concepts, quantification and mitigation of risk, that plainly explains risk perception, assessment and management and thereby forms a solid starting for students and policy professionals alike.

Risk science is becoming increasingly important as businesses, policymakers and public sector leaders are tasked with decision-making and investment using varying levels of knowledge and information. Risk Science: An Introduction explores the theory and practice of risk science, providing concepts and tools for understanding and acting under conditions of uncertainty. The chapters in this work cover the fundamental concepts, principles, approaches, methods and models for how to understand, assess, communicate, manage and govern risk. These topics are presented and examined in a way which details how they relate, for example, how to characterize and communicate risk with particular emphasis on reflecting uncertainties; how to distinguish risk perception and professional risk judgments; how to assess risk and guide decision-makers, especially for cases involving large uncertainties and value differences; and how to integrate risk assessment with resilience-based strategies. The text provides a variety of examples and case studies that relate to highly visible and relevant issues facing risk academics, practitioners and non-risk leaders who must make risk-related decisions. Presenting both the foundational and most recent advancements in the subject matter, this work particularly suits students of risk science courses at college and university level. The book also provides broader key reading for students and scholars in other domains, including business, engineering and public health.

Risk is everywhere - from genetically modified crops, dams, and stem-cell therapy to heartbreak, online predators, inflation, and robbery. This Very Short Introduction examines what science has learned about how people deal with risks, what we can learn through decision theory, and how we can evaluate risk in our own lives.

The value-at-risk measurement methodology is a widely-used tool in financial market risk management. The fourth edition of Professor Moorad Choudhry’s benchmark reference text An Introduction to Value-at-Risk offers an accessible and reader-friendly look at the concept of VaR and its different estimation methods, and is aimed specifically at newcomers to the market or those unfamiliar with modern risk management practices. The author capitalises on his experience in the financial markets to present this concise yet in-depth coverage of VaR, set in the context of risk management as a whole. Topics covered include: Defining value-at-risk Variance-covariance methodology Monte Carlo simulation Portfolio VaR Credit risk and credit VaR Topics are illustrated with Bloomberg screens, worked examples, exercises and case studies. Related issues such as statistics, volatility and correlation are also introduced as necessary background for students and practitioners. This is essential reading for all those who require an introduction to financial market risk management and value-at-risk.

This text presents notions and ideas at the foundations of a statistical treatment of risks. The focus is on statistical applications within the field of engineering risk and safety analysis. Coverage includes Bayesian methods. Such knowledge facilitates the understanding of the influence of random phenomena and gives a deeper understanding of the role of probability in risk analysis. The text is written for students who have studied elementary undergraduate courses in engineering mathematics, perhaps including a minor course in statistics. This book differs from typical textbooks in its verbal approach to many explanations and examples.

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.

A Practical Introduction to Security and Risk Management 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.