Christian Hugo Hoffmann undermines the citadel of risk assessment and management, arguing that classical probability theory is not an adequate foundation for modeling systemic and extreme risk in complex financial systems. He proposes a new class of models which focus on the knowledge dimension by precisely describing market participants' own positions and their propensity to react to outside changes. The author closes his thesis by a synthetical reflection on methods and elaborates on the meaning of decision-making competency in a risk management context in banking. By choosing this poly-dimensional approach, the purpose of his work is to explore shortcomings of risk management approaches of financial institutions and to point out how they might be overcome.

When faced with a 'human error' problem, you may be tempted to ask 'Why didn't these people watch out better?' Or, 'How can I get my people more engaged in safety?' You might think you can solve your safety problems by telling your people to be more careful, by reprimanding the miscreants, by issuing a new rule or procedure and demanding compliance. These are all expressions of 'The Bad Apple Theory' where you believe your system is basically safe if it were not for those few unreliable people in it. Building on its successful predecessors, the third edition of The Field Guide to Understanding 'Human Error' will help you understand a new way of dealing with a perceived 'human error' problem in your organization. It will help you trace how your organization juggles inherent trade-offs between safety and other pressures and expectations, suggesting that you are not the custodian of an already safe system. It will encourage you to start looking more closely at the performance that others may still call 'human error', allowing you to discover how your people create safety through practice, at all levels of your organization, mostly successfully, under the pressure of resource constraints and multiple conflicting goals. The Field Guide to Understanding 'Human Error' will help you understand how to move beyond 'human error'; how to understand accidents; how to do better investigations; how to understand and improve your safety work. You will be invited to think creatively and differently about the safety issues you and your organization face. In each, you will find possibilities for a new language, for different concepts, and for new leverage points to influence your own thinking and practice, as well as that of your colleagues and organization. If you are faced with a 'human error' problem, abandon the fallacy of a quick fix. Read this book.

Risk analysis is not a narrowly defined set of applications. Rather, it is widely used to assess and manage a plethora of hazards that threaten dire implications. However, too few people actually understand what risk analysis can help us accomplish and, even among experts, knowledge is often limited to one or two applications. Explaining Risk Analysis frames risk analysis as a holistic planning process aimed at making better risk-informed decisions and emphasizing the connections between the parts. This framework requires an understanding of basic terms, including explanations of why there is no universal agreement about what risk means, much less risk assessment, risk management and risk analysis. Drawing on a wide range of case studies, the book illustrates the ways in which risk analysis can help lead to better decisions in a variety of scenarios, including the destruction of chemical weapons, management of nuclear waste and the response to passenger rail threats. The book demonstrates how the risk analysis process and the data, models and processes used in risk analysis will clarify, rather than obfuscate, decision-makers' options. This book will be of great interest to students and scholars of risk assessment, risk management, public health, environmental science, environmental economics and environmental psychology.

The role of designers has traditionally been to design a building so that it conforms to accepted local building codes. The safety of workers is left up to the contractor building the designs. Research shows, however, that designers can have an especially strong influence on construction safety during the concept, preliminary and detailed design phases. This book establishes the new knowledge and conceptual frameworks necessary to develop a mobile computing-enabled knowledge management system that can help reduce the high rate of construction falls. There are three main objectives of this book: 1. To create a new Prevention through Design (PtD) knowledge base to model the relationships between fall risks and design decisions; 2. To develop a PtD mobile App to assist building designers in fall prevention through design; 3. To evaluate the practical implications of the PtD mobile App for the construction industry, especially for building designers and workers. The cutting edge technologies explored in this book have the potential to significantly reduce the rate of serious injuries that occur in the global construction industry. This is essential reading for researchers and advanced students of construction management with an interest in safety or mobile technologies.

Assessing Command and Control Effectiveness: Dealing with a Changing World offers a description of the current state of Command and Control (C2) research in imperfect settings, showing how a research process should assess, analyse and communicate results to the development cycle of methods, work, manning and C2-technology. Special attention is given to the development of C2 research methods to meet the current and coming needs. The authors also look forward towards a future where effective assessment of C2 abilities are even more crucial, for instance in agile organisations. The purpose of the C2 research is to improve the process and make it more effective while still saving time and money. Research methods have to be chosen carefully to be effective and simple, yet provide results of high quality. The methodological concerns are a major consideration when working under such circumstances. Furthermore, there is often a need for a swift iterative development cycle, and thus a demand to quickly deliver results from the research process. This book explains how field research experimentation can be quick, simple and effective, being able to draw valid conclusions even when sample sizes are small and resources are limited, collecting empirical data using measures and procedures that are minimally intrusive.

In the wake of 9/11 and Hurricane Katrina, many are asking what, if anything, can be done to prevent large-scale disasters. How is it that we know more about the hazards of modern American life than ever before, yet the nation faces ever-increasing losses from such events? History shows that disasters are not simply random acts. Where is the logic in creating an elaborate set of fire codes for buildings, and then allowing structures like the Twin Towers-tall, impressive, and risky-to go up as design experiments? Why prepare for terrorist attacks above all else when floods, fires, and earthquakes pose far more consistent threats to American life and prosperity? The Disaster Experts takes on these questions, offering historical context for understanding who the experts are that influence these decisions, how they became powerful, and why they are only slightly closer today than a decade ago to protecting the public from disasters. Tracing the intertwined development of disaster expertise, public policy, and urbanization over the past century, historian Scott Gabriel Knowles tells the fascinating story of how this diverse collection of professionals-insurance inspectors, engineers, scientists, journalists, public officials, civil defense planners, and emergency managers-emerged as the authorities on risk and disaster and, in the process, shaped modern America.

This book is about risk conceptions, experiences and reflections. It applies the concept of the risk triangle, with its societal, organisational and personal angles, to two areas of inquiry: financial markets and the military, seeking to demonstrate the challenges, dilemmas and, in many ways, also the impossibilities of risk analysis and risk management. Drawing on empirical and micro- and macro-level analysis, this innovative work will appeal to students of political science, economics and business as well as to risk professionals and risk-takers.

Risks are increasingly regulated by international standards, and scientists play a key role in standardization. This fascinating book exposes the action of 'invisible colleges' of scientists loose groups of prominent scientific experts who combine practical experience of risk and control with advisory responsibility in the formulation of international standards. Drawing upon the domains of medicines, 'novel foods' and food hygiene, David Demortain investigates new regulatory concepts emerging from invisible colleges, highlighting how they shape consensus and pave the way for international standards. He explores the relationship between science and regulation from theoretic and historic perspectives, and illustrates how scientific experts integrate regulatory actors in commonly agreed modes of control and structures of regulatory responsibilities. Sociological and political implications are also discussed. Using innovative methodologies and an extensive insight into food and pharmaceutical regulation, this book will provide a much-needed reference tool for scholars and students in a range of fields encompassing science and technology studies, public policy, risk and environmental regulation, and transnational governance. Contents: 1. Risk Regulation From Controversies to Common Concepts 2. Communities, Networks and Colleges: Expert Collectives in Transnational Regulation 3. From Qualifying Products to Imputing Adverse Events: A Short History of Risk Regulation 4. Drawing Lessons: Medical Professionals and the Introduction of Pharmacovigilance Planning 5. Modelling Regulation: HACCP and the Ambitions of the Food Microbiology Elite 6. The Value of Abstraction: Food Safety Scientists and the Invention of Post-market Monitoring 7. Exploring Invisible Colleges: Sociology of the Standardising Scientist 8. Scientists, Standardisation and Regulatory Change: The Emergent Action of Invisible Colleges Appendix 1. Research Strategy and Methodology References Index

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.

Risk assessment and risk management are essential across the public sector to improve processes and outcomes. However, there is little clarity over what this actually means. This lack of understanding leads to a wide variation in risk assessment and management practice and to miscommunications of risk across professions, creating further barriers to interprofessional practice and co-creation of value across the public sector. Despite these challenges, there is a concurrent expectation that risk assessment and risk management be carried out across the sector to the highest standard, which inevitably becomes problematic. Conceptualising Risk Assessment and Management across the Public Sector explores concepts and applications of risk across the public sector to aid risk professionals in establishing a clearer understanding of what risk assessment and management is, how they might be unified across the sector, and how and where deviations across professions are needed. This book addresses these issues through providing a theory-informed discussion on the conceptualisations of risk, risk assessment, and risk management across the public sector, and through identifying where shared values and where differences exist across professions. Guidance on interprofessional risk practice and risk communication to overcome barriers is offered using a combination of theoretically underpinned approaches and exemplars from practice, presented to have broad applicability across the public sector rather than being siloed within a specific professional grouping or theoretical paradigm.

This book serves as a technical yet practical risk management manual for professionals working with water and wastewater organizations. It provides readers with a functional comprehension of water and wastewater operations as well as a broad understanding of industry derivations and various stakeholder interconnectivity. This knowledge is imperative, as most administrative professionals are proficient in their respective areas of expertise but sometimes lack fluency on the broader technical aspects of their organization's purpose, operations, and externalities. It also examines risk management best practices and provides an actionable review of doing the right thing, the right way, every time through a combination of core risk management principles. These include enterprise, strategic, operational, and reputational risk management, as well as risk assessments, risk/frequency matrixes, checklists, rules, and decision-making processes. Finally, the book addresses the importance of risk transfer through insurance policies and provides best practices for the prudent selection of these policies across different scenarios. Features: Provides an understanding of water and wastewater technical operations to properly implement sound risk management and insurance programs. Emphasizes the importance of building well-designed, resilient systems, such as policies, processes, procedures, protocol, rules, and checklists that are up to date and fully implemented across a business. Offers a detailed look into insurance policy terms and conditions and includes practical checklists to assist readers in structuring and negotiating their own policies. Handbook of Risk and Insurance Strategies for Certified Public Risk Officers and Other Water Professionals combines practical knowledge of technical water/wastewater operations along with the core subjects of risk management and insurance for practicing and aspiring professionals charged with handling these vital tasks for their organizations. Readers will also gain invaluable perspective and knowledge on best-in-class risk management and insurance practices in the water and wastewater industries.

There is an increasing dissatisfaction about how risk is regulated, leading to vivid debates about the use of 'risk assessment' and 'precaution'. As a result, academics, government officials and industry leaders are calling for new approaches and fresh ideas. This book provides a historical and topical perspective on the alternative concept of 'Tolerability of Risk' and its concrete regulatory applications. In the UK, Tolerability of Risk has been developed into a sophisticated framework, particularly within the health and safety sectors. It is expected to guide decision-makers when applying their legal obligation of keeping risks as low as practically reasonable. Could Tolerability of Risk become a wider source of inspiration across the full scope of risk analysis and management? Written by leading academics and risk practitioners from industry and government, The Tolerability of Risk presents a summary of theoretical perspectives on risk approaches, providing a detailed elicitation of the methods and approaches used to build the Tolerability of Risk framework and examining the prospect of universal application of that framework. From nuclear power to environmental pollution, climate change and drug testing, the Tolerability of Risk framework may offer a workable, pragmatic solution for balancing risks against the costs involved in controlling them, as well as developing the institutional capacity to make effective decisions in all jurisdictions worldwide.

Presents information sources and methodologies for modeling and simulating banking system stability Combining both academic and institutional knowledge and experience, Banking Systems Simulation: Theory, Practice, and Application of Modeling Shocks, Losses, and Contagion presents banking system risk modeling clearly within a theoretical framework. Written from the global financial perspective, the book explores single bank risk, common bank exposures, and contagion, and how these apply on a systemic level. Zedda approaches these simulation methods logically by providing the basic building blocks of modeling and simulation, and then delving further into the individual techniques that make up a systems model. In addition, the author provides clear and detailed explanations of the foundational research into the mathematical and legal concepts used to analyze banking risk problems, measures and data for representing the main banking risk sources, and the major problems researchers are likely to encounter. There are numerous software descriptions throughout, with references and tools to help readers gain a proper understanding of the presented techniques and possibly develop new applications and research. The book concludes with an appendix that features real-world datasets and models. In addition, this book: Provides a comprehensive overview of methods for analyzing models and simulating risk for banking and financial systems Provides a clear presentation of the technical and legal concepts used in banking regulation Presents unique insights from an expert s perspective, with specific coverage of assessing risks and developing what-if analyses at the systems level Concludes with a discussion of applications, including banking systems regulation what-if tests, cost-benefit analysis, evaluations of banking systems stability effects on public finances, dimensioning, and risk-based contributions for Deposit Guarantee Schemes (DGS) and Resolution Funds Banking Systems Simulation: Theory, Practice, and Application of Modeling Shocks, Losses, and Contagion is ideal for banking researchers focusing on computational methods of analysis as well as an appropriate reference for graduate-level students in banking, finance, and computational methods. Stefano Zedda is Researcher in Financial Mathematics at the University of Cagliari in Italy and qualified as associate professor in banking and corporate finance. His research is mainly focused on quantitative analyses for banking and finance, with a particular focus on banking systems modeling and simulation. In 2008, Zedda developed the mathematical modeling and software implementation of the Systemic Model for Banking Originated Losses (SYMBOL), further developed during his activity at the European Commission. The Commission subsequently adopted it as a standard tool for testing banking regulation proposals. Stefano Zedda s research interests include banking, financial mathematics, and statistics, specifically simulation of banking and financial systems stability, banking regulation impact assessment, and interactive agent simulation.

This volume offers new, convincing empirical evidence on topical risk- and risk management-related issues in diverse settings, using an interdisciplinary approach. The authors advance compelling arguments, firmly anchored to well-accepted theoretical frameworks, while adopting either qualitative or quantitative research methodologies. The book presents interviews and surveys with risk managers to gather insights on risk management and risk disclosure in practice. Additionally, the book collects and analyzes information contained in public reports to capture risk disclosure and perceptions on risk management impacts on companies' internal organization. It sheds light on financial and market values to understand the effect of risk management on actual and perceived firm's performance, respectively. Further, it examines the impacts of risk and risk management on society and the economy. The book improves awareness and advances knowledge on the complex and changeable risk and risk management fields of study. It interweaves among topical, up-to-date issues, peculiar, under-investigated contexts, and differentiated, complementary viewpoints on the same themes. Therefore, the book is a must-read for scholars and researchers, as well as practitioners and policy makers, interested in a better understanding of risk and risk management studies in different fields.

This book provides in-depth guidance on how to use multi-criteria decision analysis methods for risk assessment and risk management. The frontiers of engineering operations management methods for identifying the risks, investigating their roles, analyzing the complex cause-effect relationships, and proposing countermeasures for risk mitigation are presented in this book. There is a total of ten chapters, mainly including the indicators and organizational models for risk assessment, the integrated Bayesian Best-Worst method and classifiable TOPSIS model for risk assessment, new risk prioritization model, fuzzy risk assessment under uncertainties, assessment of COVID-19 transmission risk based on fuzzy inference system, risk assessment and mitigation based on simulation output analysis, energy supply risk analysis, risk assessment and management in cash-in-transit vehicle routing problems, and sustainability risks of resource-exhausted cities. The most significant feature of this book is that it provides various systematic multi-criteria decision analysis methods for risk assessment and management, and illustrates the application of these methods in different fields. This book is beneficial to policymakers, decision-makers, experts, researchers and students related to risk assessment and management.

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.

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.

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.