Stochastic games have an element of chance: the state of the next round is determined probabilistically depending upon players' actions and the current state. Successful players need to balance the need for short-term payoffs while ensuring future opportunities remain high. The various techniques needed to analyze these often highly non-trivial games are a showcase of attractive mathematics, including methods from probability, differential equations, algebra, and combinatorics. This book presents a course on the theory of stochastic games going from the basics through to topics of modern research, focusing on conceptual clarity over complete generality. Each of its chapters introduces a new mathematical tool - including contracting mappings, semi-algebraic sets, infinite orbits, and Ramsey's theorem, among others - before discussing the game-theoretic results they can be used to obtain. The author assumes no more than a basic undergraduate curriculum and illustrates the theory with numerous examples and exercises, with solutions available online.

Stress Testing and Risk Integration in Banks provides a comprehensive view of the risk management activity by means of the stress testing process. An introduction to multivariate time series modeling paves the way to scenario analysis in order to assess a bank resilience against adverse macroeconomic conditions. Assets and liabilities are jointly studied to highlight the key issues that a risk manager needs to face. A multi-national bank prototype is used all over the book for diving into market, credit, and operational stress testing. Interest rate, liquidity and other major risks are also studied together with the former to outline how to implement a fully integrated risk management toolkit. Examples, business cases, and exercises worked in Matlab and R facilitate readers to develop their own models and methodologies.

The Christoffel-Darboux kernel, a central object in approximation theory, is shown to have many potential uses in modern data analysis, including applications in machine learning. This is the first book to offer a rapid introduction to the subject, illustrating the surprising effectiveness of a simple tool. Bridging the gap between classical mathematics and current evolving research, the authors present the topic in detail and follow a heuristic, example-based approach, assuming only a basic background in functional analysis, probability and some elementary notions of algebraic geometry. They cover new results in both pure and applied mathematics and introduce techniques that have a wide range of potential impacts on modern quantitative and qualitative science. Comprehensive notes provide historical background, discuss advanced concepts and give detailed bibliographical references. Researchers and graduate students in mathematics, statistics, engineering or economics will find new perspectives on traditional themes, along with challenging open problems.

Extensively updated for the second edition, this handy guide covers the safety engineering of ship-shaped offshore installations at every stage of design, construction, operation, lifetime healthcare and decommissioning. New sections cover additional types of offshore structures, including offshore power plants, as well as cutting-edge technologies and all the latest advances in the field. The text focuses on minimising accidents and the effects of extreme conditions, with new chapters covering earthquakes, hurricanes and terrorist attacks, as well as traditional types of accidental events such as hull girder collapse, collisions, fires and explosions. This is an invaluable resource for students who will be approaching the subject for the first time as well as practising engineers and researchers.

This practical guide covers the steps necessary to sustain quality in a project from start to finish. The book shows how to identify risks at different processes, phases, and stages and offers directions on how to mitigate and reduce risks using analysis, evaluation, and monitoring. Risk Management Applications Used to Sustain Quality in Projects: A Practical Guide focuses on applying risk management principles to manage quality in all project management processes, stages, and phases. The book discusses the potential risks that may occur at the different phases of the project life cycle, their effects on projects, and how to prevent them. It explores all the process elements and activities of risk management and provides steps on how to make the project more qualitative, competitive, and economical. Risk management processes are discussed at each project management processes and project lifecycle phase/stage to help the reader understand how various risks can occur and how to mitigate and reduce them. The main audience for this book is project management professionals, quality managers, systems engineers, construction managers, and risk management professionals as well as industrial engineers, academics, and students.

Seismic hazard and risk analyses underpin the loadings prescribed by engineering design codes, the decisions by asset owners to retrofit structures, the pricing of insurance policies, and many other activities. This is a comprehensive overview of the principles and procedures behind seismic hazard and risk analysis. It enables readers to understand best practises and future research directions. Early chapters cover the essential elements and concepts of seismic hazard and risk analysis, while later chapters shift focus to more advanced topics. Each chapter includes worked examples and problem sets for which full solutions are provided online. Appendices provide relevant background in probability and statistics. Computer codes are also available online to help replicate specific calculations and demonstrate the implementation of various methods. This is a valuable reference for upper level students and practitioners in civil engineering, and earth scientists interested in engineering seismology.

Develop and execute a resilient climate change enterprise risk strategy that can be tailored to any organization with this essential guide for risk professionals and business leaders. Climate Change Enterprise Risk Management equips readers with a practical roadmap for how organizations can integrate climate change into their enterprise risk strategy. It offers guidance on how to secure a robust framework that can identify and manage climate threats and opportunities for a business, how to increase the visibility of climate risk management activities at board level, and how and when to implement techniques such as thresholds, mitigation strategies, monitoring capabilities and risk appetite metrics. The book covers both existing best practice risk management tools and how they can be adapted for climate enterprise risk management as well as new interdisciplinary tools like stakeholder mapping. Climate Change Enterprise Risk Management is richly supported by global examples, interviews and case studies representing a wide range of companies and industries including the insurance, finance, infrastructure, oil and gas, legal and auditing sectors. This is a must-read for all risk professionals and business leaders involved in developing and executing enterprise risk management and strategy. It will also be valuable reading for students taking modules on enterprise risk management and climate change, sustainable business and risk management.

Compliance has become key to our contemporary markets, societies, and modes of governance across a variety of public and private domains. While this has stimulated a rich body of empirical and practical expertise on compliance, thus far, there has been no comprehensive understanding of what compliance is or how it influences various fields and sectors. The academic knowledge of compliance has remained siloed along different disciplinary domains, regulatory and legal spheres, and mechanisms and interventions. This handbook bridges these divides to provide the first one-stop overview of what compliance is, how we can best study it, and the core mechanisms that shape it. Written by leading experts, chapters offer perspectives from across law, regulatory studies, management science, criminology, economics, sociology, and psychology. This volume is the definitive and comprehensive account of compliance.

International Health and Safety at Work has been specially written in simple English for the thousands of students who complete the NEBOSH International General Certificate in Health and Safety each year. Fully revised in alignment with the 2019 syllabus, this fourth edition provides students with all they need to tackle the course with confidence. Clear, easily accessible information is presented in full colour, with discussion of essential principles such as ILO and OSH conventions as well as legal frameworks from a range of countries. The book features practice questions and answers to test knowledge and increase understanding. International Health and Safety at Work remains the most effective tool for those working to fit international health and safety standards to local needs and practice.

Is your business playing it safe&#8212or taking the right risks? If you read nothing else on managing risk, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help your company make smart decisions and thrive, even when the future is unclear. This book will inspire you to: Avoid the most common errors in risk management Understand the three distinct categories of risk and tailor your risk-management processes accordingly Embrace uncertainty as a key element of breakthrough innovation Adopt best practices for mitigating political threats Upgrade your organization's forecasting capabilities to gain a competitive edge Detect and neutralize cyberattacks originating inside your company This collection of articles includes "Managing Risks: A New Framework," by Robert S. Kaplan and Anette Mikes; "How to Build Risk into Your Business Model," by Karan Girotra and Serguei Netessine; "The Six Mistakes Executives Make in Risk Management," by Nassim N. Taleb, Daniel G. Goldstein, and Mark W. Spitznagel; "From Superstorms to Factory Fires: Managing Unpredictable Supply-Chain Disruptions," by David Simchi-Levi, William Schmidt, and Yehua Wei; "Is It Real? Can We Win? Is It Worth Doing?: Managing Risk and Reward in an Innovation Portfolio," by George S. Day; "Superforecasting: How to Upgrade Your Company's Judgment," by Paul J. H. Schoemaker and Philip E. Tetlock; "Managing 21st-Century Political Risk," by Condoleezza Rice and Amy Zegart; "How to Scandal-Proof Your Company," by Paul Healy and George Serafeim; "Beating the Odds When You Launch a New Venture," by Clark Gilbert and Matthew Eyring; "The Danger from Within," by David M. Upton and Sadie Creese; and "Future-Proof Your Climate Strategy," by Joseph E. Aldy and Gianfranco Gianfrate.

A new playbook for effective crisis management in higher education. Unlike other industries, in higher education an institution's most important asset is its reputation. Yet as fundamental as it is, many leaders continue to view managing reputation as dishonest and counterproductive, a suspect process that undermines the very idea of reputation as an organic outcome of reality. When leadership credibility is on the line, though, and an institution's reputation is facing potentially irreparable damage, the concept of reputational risk moves from being nebulous to all too tangible. In Preventing Crises at Your University, Simon Barker demonstrates how critical it is for colleges and universities to align strategy and values with decision-making during times of crisis. Arguing that leaders must stop considering the discussion of reputational risk as unseemly, he demonstrates that this discussion is in fact a strategic imperative for every leader. Significant reputational damage, Barker asserts, is not the inevitable outcome of a crisis but of a poor response. Defining a new crisis leadership playbook to deal with self-inflicted crises, he also * explains what typically goes wrong in a crisis; * describes how to prevent crises from escalating; * demonstrates how a stakeholder-centric model of communications can help mitigate reputational damage; and * introduces a number of original concepts, including a Reputational Risk Management Framework, a Reputational Risk Maturity Model, and a Culture and Capability matrix. Moving beyond the theoretical by presenting case studies of real crises involving sexual assault, freedom of speech, student protests, faculty misconduct, and a broad range of financial, social, and ethical issues, the book highlights and underscore key concepts around effective management of reputational risk. Ultimately, Preventing Crises at Your University serves as a wake-up call for all higher education leaders and board members.

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.

This new edition of Risk Management: Concepts and Guidance supplies a look at risk in light of current information, yet remains grounded in the history of risk practice. Taking a holistic approach, it examines risk as a blend of environmental, programmatic, and situational concerns. Supplying comprehensive coverage of risk management tools, practices, and protocols, the book presents powerful techniques that can enhance organizational risk identification, assessment, and management-all within the project and program environments. Updated to reflect the Project Management Institute's A Guide to the Project Management Body of Knowledge (PMBOK (R) Guide), Fifth Edition, this edition is an ideal resource for those seeking Project Management Professional and Risk Management Professional certification. Emphasizing greater clarity on risk practice, this edition maintains a focus on the ability to apply "planned clairvoyance" to peer into the future. The book begins by analyzing the various systems that can be used to apply risk management. It provides a fundamental introduction to the basics associated with particular techniques, clarifying the essential concepts of risk and how they apply in projects. The second part of the book presents the specific techniques necessary to successfully implement the systems described in Part I. The text addresses project risk management from the project manager's perspective. It adopts PMI's perspective that risk is both a threat and an opportunity, and it acknowledges that any effective risk management practice must look at the potential positive events that may befall a project, as well as the negatives.Providing coverage of the concepts that many project management texts ignore, such as the risk response matrix and risk models, the book includes appendices filled with additional reference materials and supporting details that simplifying some of the most complex aspects of risk management.

This book provides a perspective on a number of financial modelling analytics and risk management. The book begins with extensive outline of GLM estimation techniques combined with the proof of its fundamental results. Applications of static and dynamic models provide a unified approach to the estimation of nonlinear risk models. The book then examines the definition of risks and their management, with particular emphasis on the importance of bi-modal distributions for financial regulation. Chapters also cover the implications of stress testing and the noncyclical CAR (Capital Adequacy Rule). The next section highlights financial modelling analytic approaches and techniques including an overview of memory based financial models, spanning non-memory models, long run and short memory. Applications of these models are used to highlight their variety and their importance to Financial Analytics. Subsequent chapters offer an extensive overview of multi-fractional models and their important applications to Asset price modeling (from Fractional to Multi-fractional Processes), and a look at the binomial pricing model by discussing the effects of memory on the pricing of asset prices. The book concludes with an examination of an algorithmic future perspective to real finance.

The chapters in "Future Perspectives in Risk Models and Finance" are concerned with both theoretical and practical issues. Theoretically, financial risks models are models of certainty, based on information and rules that are both available and agree to by their user. Empirical and data finance however, has provided a bridge between theoretical constructs risks models and the empirical evidence that these models entail. Numerous approaches are then used to model financial risk models, emphasizing mathematical and stochastic models based on the fundamental theoretical tenets of finance and others departing from the fundamental assumptions of finance. The underlying mathematical foundations of these risks models provide a future guideline for risk modeling. Both static and dynamic risk models are then considered. The chapters in this book provide selective insights and developments, that can contribute to a greater understanding the complexity of financial modelling and its ability to bridge financial theories and their practice. Risk models are models of uncertainty, and therefore all risk models are an expression of perceptions, priorities, needs and the information we have. In this sense, all risks models are complex hypotheses we have constructed and based on what we have or believe . Risk models are then challenged by their definition, are risk definition defining in fact prospective risks? By their estimation, what data can we apply to estimate risk processes and how can we do so? How should we use the data and the models at hand for useful and constructive end. "

Optimization methods play a central role in financial modeling. This textbook is devoted to explaining how state-of-the-art optimization theory, algorithms, and software can be used to efficiently solve problems in computational finance. It discusses some classical mean-variance portfolio optimization models as well as more modern developments such as models for optimal trade execution and dynamic portfolio allocation with transaction costs and taxes. Chapters discussing the theory and efficient solution methods for the main classes of optimization problems alternate with chapters discussing their use in the modeling and solution of central problems in mathematical finance. This book will be interesting and useful for students, academics, and practitioners with a background in mathematics, operations research, or financial engineering. The second edition includes new examples and exercises as well as a more detailed discussion of mean-variance optimization, multi-period models, and additional material to highlight the relevance to finance.

This book discusses risk management as it applies to problem-solving for simple, complex and wicked problems faced by policy creators and implementors, project managers and systems engineers in the context of policies, large engineering projects (LEPs), projects and systems. When applying systems thinking to risk management, it can be seen that risk management applies to almost every action taken in daily life. This book: Introduces the systems approach of integrating risk management into policy creation and implementation, project management and systems engineering, such as the risk framework and the Firm Fixed Price (FFP) contract with penalties and bonuses. Introduces a number of out-of-the box concepts building on the application of the systems thinking tools in the system thinker's toolbox. Points out that integrating risk management into policy and project management and systems engineering is just good management and engineering practice. Discusses the flow of risk in a policy from creation through implementation via LEPs and simpler projects, identifying where risks arise and where they should be dealt with. Presents the risks in the relationship between policy creation, implementation, project management and systems engineering. Discusses risks throughout the policy implementation process and shows how the nature of risks changes from political to financial to technological as implementation proceeds. Discusses managing complexity and specifies the minimum number of elements in a system for it to be defined as, and managed as, complex. Points out that in most instances the traditionally ignored major implementation risk is that of poor performance by personnel. Shows how to proactively incorporate prevention into planning in order to prevent risks, as well as how to mitigate them when they occur.

To meet the needs of today, engineered products and systems are an important element of the world economy, and each year billions of dollars are spent to develop, manufacture, operate, and maintain various types of products and systems around the globe. This book integrates and combines three of those topics to meet today's needs for the engineers working in these fields. This book provides a single volume that considers reliability, maintainability, and safety when designing new products and systems. Examples along with their solutions are placed at the end of each chapter to test readers' comprehension. The book is written in a manner that readers do not need any previous knowledge of the subject, and many references are provided. This book is also useful to many people, including design engineers, system engineers, reliability specialists, safety professionals, maintainability engineers, engineering administrators, graduate and senior undergraduate students, researchers, and instructors.