This book is designed as an introduction to recent social science work on risk and is intended primarily for students in sociology, social psychology, and psychology, although it will also be useful for those studying political science, government, public policy, and economics. It is written by leading experts actively involved in research in the field.

These notes represent our summary of much of the recent research that has been done in recent years on approximations and bounds that have been developed for compound distributions and related quantities which are of interest in insurance and other areas of application in applied probability. The basic technique employed in the derivation of many bounds is induc tive, an approach that is motivated by arguments used by Sparre-Andersen (1957) in connection with a renewal risk model in insurance. This technique is both simple and powerful, and yields quite general results. The bounds themselves are motivated by the classical Lundberg exponential bounds which apply to ruin probabilities, and the connection to compound dis tributions is through the interpretation of the ruin probability as the tail probability of a compound geometric distribution. The initial exponential bounds were given in Willmot and Lin (1994), followed by the nonexpo nential generalization in Willmot (1994). Other related work on approximations for compound distributions and applications to various problems in insurance in particular and applied probability in general is also discussed in subsequent chapters. The results obtained or the arguments employed in these situations are similar to those for the compound distributions, and thus we felt it useful to include them in the notes. In many cases we have included exact results, since these are useful in conjunction with the bounds and approximations developed."

This publication provides updates on the bond market in Indonesia since 2017. The ASEAN+3 Bond Market Guide series provides information on the investment climate, rules, laws, opportunities, and characteristics of bond markets in Asia and the Pacific. It aims to help bond market issuers, investors, and financial intermediaries understand the local context and encourage greater participation in the region's rapidly developing bond markets. This edition updates the ASEAN+3 Bond Market Guide 2017: Indonesia.

This report examines the impacts of COVID-19 on labour markets along with adjustment patterns in Indonesia, Malaysia, the Philippines, Thailand, and Viet Nam. Labour markets in Southeast Asia were particularly hit hard in 2020 when government pandemic containment measures were most severe. COVID-19 exacerbated growing inequalities in the region and exposed large gaps in social protection . This report aims to help policymakers identify priorities, constraints, and opportunities for developing effective labour market strategies for economic recovery and beyond.

Across the world organizations continue to be damaged and brought down by systemic non-compliance or the misdeeds of a few, and newspapers abound with examples of corporate and NGO scandals and crimes. This despite the increasing ethical demands stakeholders are making of business, the exposing power of social media, the proliferating requirements of compliance laws and regulations, and the burgeoning numbers of policies, procedures and compliance officers which have been put in place in response. So what's going on? Why isn't compliance working? The Business Guide to Effective Compliance and Ethics examines how rules-based, tick-box, defensible compliance continues to fail, and lays out a new approach for organizations seeking to flourish and succeed.

Written for any organization and businesses large and small, it provides clear, thorough and practical guidance for practitioners and decision-makers. It explains in layman's terms the skills, tools and mindset needed to develop and deliver a best practice compliance and ethics programme - one that meets the requirements made by law, stakeholders and society, and protects your organization from risk of fines, penalties and reputational damage. But this is also a book for all those interested in how to build employee engagement and motivation. The Business Guide to Effective Compliance and Ethics demonstrates the value - including competitive advantage, career satisfaction, employee and customer loyalty, and brand enhancement - that a truly effective compliance and ethics programme can bring when it is working hand in hand with a values-based culture of shared ownership.

The Pacific region is expected to contract by 0.6% in 2021, and to grow by 4.7% in 2022. This issue of the Pacific Economic Monitor explores how the region can reopen and rebuild. Besides safely resuming travel and protecting health, a resilient recovery will depend on promoting fiscal sustainability and strengthening economic management, including regional cooperation to revitalize tourism.

High-level guidance for implementing enterprise risk management in any organization

A Practical Guide to Risk Management shows organizations how to implement an effective ERM solution, starting with senior management and risk and compliance professionals working together to categorize and assess risks throughout the enterprise. Detailed guidance is provided on the key risk categories, including financial, operational, reputational, and strategic areas, along with practical tips on how to handle risks that overlap across categories. Provides high-level guidance on how to implement enterprise risk management across any organizationIncludes discussion of the latest trends and best practicesFeatures the role of IT in ERM and the tools that are available in both assessment and on-going complianceDiscusses the key challenges that need to be overcome for a successful ERM initiative

Walking readers through the creation of ERM architecture and setting up on-going monitoring and assessement processes, this is an essential book for every CFO, controller and IT manager.

Exciting new developments in risk assessment and management Risk assessment and management is fundamentally founded on the knowledge available on the system or process under consideration. While this may be self-evident to the laymen, thought leaders within the risk community have come to recognize and emphasize the need to explicitly incorporate knowledge (K) in a systematic, rigorous, and transparent framework for describing and modeling risk. Featuring contributions by an international team of researchers and respected practitioners in the field, this book explores the latest developments in the ongoing effort to use risk assessment as a means for characterizing knowledge and/or lack of knowledge about a system or process of interest. By offering a fresh perspective on risk assessment and management, the book represents a significant contribution to the development of a sturdier foundation for the practice of risk assessment and for risk-informed decision making. How should K be described and evaluated in risk assessment? How can it be reflected and taken into account in formulating risk management strategies? With the help of numerous case studies and real-world examples, this book answers these and other critical questions at the heart of modern risk assessment, while identifying many practical challenges associated with this explicit framework. This book, written by international scholars and leaders in the field, and edited to make coverage both conceptually advanced and highly accessible: Offers a systematic, rigorous and transparent perspective and framework on risk assessment and management, explicitly strengthening the links between knowledge and risk Clearly and concisely introduces the key risk concepts at the foundation of risk assessment and management Features numerous cases and real-world examples, many of which focused on various engineering applications across an array of industries Knowledge of Risk Assessment and Management is a must-read for risk assessment and management professionals, as well as graduate students, researchers and educators in the field. It is also of interest to policy makers and business people who are eager to gain a better understanding of the foundations and boundaries of risk assessment, and how its outcomes should be used for decision-making.

RAMP is a structured process for evaluating and controlling risk in major projects and this practical, working handbook is for everyone involved in the financial, commercial, legal or engineering aspects of a project. Providing a framework for identifying, analysing and responding to risks and then placing a financial value on them, the RAMP process covers the whole life of the asset involved, including post-completion reviews and methods for controlling any risks that remain, to increase the chances of overall project success. It can be applied to `hard' projects involving construction of physical assets or `soft' projects involving business acquisitions or the launch of a new product.

This book, based on the author's Clarendon Lectures in Finance, examines the empirical behaviour of corporate default risk. A new and unified statistical methodology for default prediction, based on stochastic intensity modeling, is explained and implemented with data on U.S. public corporations since 1980. Special attention is given to the measurement of correlation of default risk across firms. The underlying work was developed in a series of collaborations over roughly the past decade with Sanjiv Das, Andreas Eckner, Guillaume Horel, Nikunj Kapadia, Leandro Saita, and Ke Wang. Where possible, the content based on methodology has been separated from the substantive empirical findings, in order to provide access to the latter for those less focused on the mathematical foundations. A key finding is that corporate defaults are more clustered in time than would be suggested by their exposure to observable common or correlated risk factors. The methodology allows for hidden sources of default correlation, which are particularly important to include when estimating the likelihood that a portfolio of corporate loans will suffer large default losses. The data also reveal that a substantial amount of power for predicting the default of a corporation can be obtained from the firm's "distance to default," a volatility-adjusted measure of leverage that is the basis of the theoretical models of corporate debt pricing of Black, Scholes, and Merton. The findings are particularly relevant in the aftermath of the financial crisis, which revealed a lack of attention to the proper modelling of correlation of default risk across firms.

'Brilliant and highly entertaining, this book is essential reading for every leader, regardless of age or experience.' - Admiral William McRaven, author of Make Your Bed -------- What if you could learn how to expect the unexpected? In business, like in life, foresight is crucial for avoiding pitfalls and disaster - and yet it's something we spend nearly no time developing. Retired four-star general Stan McChrystal has lived a life associated with the deadly risks of combat; he has been forced to analyse and prepare for situations he didn't even know were possible. As a business consultant, he has seen how hundreds of individuals and organizations - too often and to great cost - fail to mitigate risk. Why? Because they focus on the probability of something happening instead of the interface through which any and all risks can be managed. In Risk: A User's Guide, McChrystal presents a new system of responding to risk. He lays out ten dimensions of control which we can adjust at any given time, no matter the context: narrative, bias, action, timing, adaptability, communication, technology, diversity, structure and leadership. Drawing on compelling examples ranging from military history to the business world, and offering infinitely practical exercises to improve preparedness, McChrystal illustrates how these ten factors are almost always in effect - and how, by considering them constantly, individuals and organizations can exert mastery over every conceivable sort of risk that they might face. We may not be able to see into the future, but Risk gives us a framework for improving our resistance and building a strong defense against what we know -- and what we don't. -------- 'A brilliant user's guide that demonstrates how managing risk is about how we lead, rather than getting mathematical equations right.' - Annie Duke, bestselling author of Thinking In Bets and How To Decide 'Measured, meticulous, and filled with practical, pragmatic wisdom from both war and peace, McChrystal's clear-eyed, unsentimental guidance cuts to the heart of our precarious existence. A must-read leadership bible.' - James Kerr, bestselling author of Legacy 'An essential playbook on mastering all dimensions of risk. For soldiers, educators, CEOs, entrepreneurs, government leaders, and everyone in between.' - Keith Krach, former Undersecretary of State and CEO of DocuSign

This textbook presents key theoretical approaches to understanding issues of sustainability and environmental management, perfectly bridging the gap between engineering and environmental science. It begins with the fundamentals of environmental modelling and toxicology, which are then used to discuss qualitative and quantitative risk assessment methods, and environmental assessments of product design. It discusses how business and government can work towards sustainability, focusing on managerial and legal tools, before considering ethics and how decisions on environmental management can be made. Students will learn quantitative methods while also gaining an understanding of qualitative, legal, and ethical aspects of sustainability. Practical applications are included throughout, and there are study questions at the end of each chapter. PowerPoint slides and jpegs of all the figures in the book are provided online. This is the perfect textbook on environmental studies for engineering and applied science students.

1. Fully aligned to the NEBOSH International Certificate in Health and Safety (IGC) 2019 syllabus 2. An authoritative and helpful study guide for the c.30,000 students a year worldwide pursuing the IGC qualification 3. Written by renowned health and safety expert and former NEBOSH Vice Chairman Dr Ed Ferrett 4. Accessible text design, clearly mapping out key learning outcomes and revision points for easy learning and memorization 5. Companion guide to the 4th edition of the renowned International Health and Safety at Work textbook

A global catastrophic risk is one with the potential to wreak death and destruction on a global scale. In human history, wars and plagues have done so on more than one occasion, and misguided ideologies and totalitarian regimes have darkened an entire era or a region. Advances in technology are adding dangers of a new kind. It could happen again.
In Global Catastrophic Risks 25 leading experts look at the gravest risks facing humanity in the 21st century, including asteroid impacts, gamma-ray bursts, Earth-based natural catastrophes, nuclear war, terrorism, global warming, biological weapons, totalitarianism, advanced nanotechnology, general artificial intelligence, and social collapse. The book also addresses over-arching issues - policy responses and methods for predicting and managing catastrophes.
This is invaluable reading for anyone interested in the big issues of our time; for students focusing on science, society, technology, and public policy; and for academics, policy-makers, and professionals working in these acutely important fields.

We find risks everywhere-from genetically modified crops, medical malpractice, and stem-cell therapy to intimacy, online predators, identity theft, inflation, and robbery. They arise from our own acts and they are imposed on us. In this Very Short Introduction, Baruch Fischhoff and John Kadvany draw on the sciences and humanities to explore and explain the many kinds of risk. Using simple conceptual frameworks from decision theory and behavioural research, they examine the science and practice of creating measures of risk, showing how scientists address risks by combining historical records, scientific theories, probability, and expert judgment.Risk: A Very Short Introduction describes what has been learned by cognitive scientists about how people deal with risks, applying these lessons to diverse examples, and demonstrating how understanding risk can aid choices in everyday life and public policies for health, safety, environment, finance, and many other topics. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.

Financial markets respond to information virtually instantaneously. Each new piece of information influences the prices of assets and their correlations with each other, and as the system rapidly changes, so too do correlation forecasts. This fast-evolving environment presents econometricians with the challenge of forecasting dynamic correlations, which are essential inputs to risk measurement, portfolio allocation, derivative pricing, and many other critical financial activities. In Anticipating Correlations, Nobel Prize-winning economist Robert Engle introduces an important new method for estimating correlations for large systems of assets: Dynamic Conditional Correlation (DCC).

Engle demonstrates the role of correlations in financial decision making, and addresses the economic underpinnings and theoretical properties of correlations and their relation to other measures of dependence. He compares DCC with other correlation estimators such as historical correlation, exponential smoothing, and multivariate GARCH, and he presents a range of important applications of DCC. Engle presents the asymmetric model and illustrates it using a multicountry equity and bond return model. He introduces the new FACTOR DCC model that blends factor models with the DCC to produce a model with the best features of both, and illustrates it using an array of U.S. large-cap equities. Engle shows how overinvestment in collateralized debt obligations, or CDOs, lies at the heart of the subprime mortgage crisis--and how the correlation models in this book could have foreseen the risks. A technical chapter of econometric results also is included.

Based on the Econometric and Tinbergen Institutes Lectures, "Anticipating Correlations" puts powerful new forecasting tools into the hands of researchers, financial analysts, risk managers, derivative quants, and graduate students.

This book is for a broad audience of practitioners, policymakers, scholars, and anyone interested in scenarios, simulations, and disaster planning. Readers are led through several different planning scenarios that have been developed over several years under the auspices of the US Department of Energy, the US Air Force, and continued work at GlobalInt LLC. These scenarios present different security challenges and their potential cascading impacts on global systems - from the melting of glaciers in the Andes, to hurricanes in New York and Hawaii, and on to hybrid disasters, cyberoperations and geoengineering. The book provides a concise and up-to-date overview of the 'lessons learned', with a focus on innovative solutions to the world's pressing energy and environmental security challenges.

* How is science represented by the media?
* Who defines what counts as a risk, threat or hazard, and why?
* In what ways do media images of science shape public perceptions?
* What can cultural and media studies tell us about current scientific controversies?
Media, Risk and Science is an exciting exploration into an array of important issues, providing a much needed framework for understanding key debates on how the media represent science and risk. In a highly effective way, Stuart Allan weaves together insights from multiple strands of research across diverse disciplines. Among the themes he examines are: the role of science in science fiction, such as Star Trek; the problem of 'pseudo-science' in The X-Files; and how science is displayed in science museums. Science journalism receives particular attention, with the processes by which science is made 'newsworthy' unravelled for careful scrutiny. The book also includes individual chapters devoted to how the media portray environmental risks, HIV-AIDS, food scares (such as BSE or 'mad cow disease' and GM foods) and human cloning. The result is a highly topical text that will be invaluable for students and scholars in cultural and media studies, science studies, journalism, sociology and politics.

This book, based on the author's Clarendon Lectures in Finance, examines the empirical behavior of corporate default risk. A new and unified statistical methodology for default prediction, based on stochastic intensity modeling, is explained and implemented with data on U.S. public corporations since 1980. Special attention is given to the measurement of correlation of default risk across firms. The underlying work was developed in a series of collaborations over roughly the past decade with Sanjiv Das, Andreas Eckner, Guillaume Horel, Nikunj Kapadia, Leandro Saita, and Ke Wang. Where possible, the content based on methodology has been separated from the substantive empirical findings, in order to provide access to the latter for those less focused on the mathematical foundations.
A key finding is that corporate defaults are more clustered in time than would be suggested by their exposure to observable common or correlated risk factors. The methodology allows for hidden sources of default correlation, which are particularly important to include when estimating the likelihood that a portfolio of corporate loans will suffer large default losses. The data also reveal that a substantial amount of power for predicting the default of a corporation can be obtained from the firm's "distance to default," a volatility-adjusted measure of leverage that is the basis of the theoretical models of corporate debt pricing of Black, Scholes, and Merton. The findings are particularly relevant in the aftermath of the financial crisis, which revealed a lack of attention to the proper modelling of correlation of default risk across firms.