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.

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.

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 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.

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.

Sound risk management often involves a combination of both mathematical and practical aspects. Taking this into account, Understanding Risk: The Theory and Practice of Financial Risk Management explains how to understand financial risk and how the severity and frequency of losses can be controlled. It combines a quantitative approach with a more informal style, giving readers a blend of analysis and intuition.

Divided into four parts, the book begins by introducing the basics of risk management and the behavior of financial instruments. The next section focuses on regulatory capital standards and models, addressing value-at-risk (VaR) models, portfolio credit risk, tranching, operational risk, and the Basel accords. The author then deals with asset/liability management (ALM) and liquidity management. The last part explores structured finance and a variety of new trading instruments, including inflation-linked products, sophisticated equity basket options, and convertible bonds.

With numerous exercises, figures, and examples throughout, this book offers valuable insight on various aspects of financial risk management.

This book begins with the fundamental large sample theory, estimating ruin probability, and ends by dealing with the latest issues of estimating the Gerber-Shiu function. This book is the first to introduce the recent development of statistical methodologies in risk theory (ruin theory) as well as their mathematical validities. Asymptotic theory of parametric and nonparametric inference for the ruin-related quantities is discussed under the setting of not only classical compound Poisson risk processes (Cramer-Lundberg model) but also more general Levy insurance risk processes. The recent development of risk theory can deal with many kinds of ruin-related quantities: the probability of ruin as well as Gerber-Shiu's discounted penalty function, both of which are useful in insurance risk management and in financial credit risk analysis. In those areas, the common stochastic models are used in the context of the structural approach of companies' default. So far, the probabilistic point of view has been the main concern for academic researchers. However, this book emphasizes the statistical point of view because identifying the risk model is always necessary and is crucial in the final step of practical risk management.

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.

In an age of globalization, widely distributed systems, and rapidly advancing technological change, IT professionals and their managers must understand that risk is ever present. The key to project success is to identify risk and subsequently deal with it. The CIO's Guide to Risk addresses the many faces of risk, whether it be in systems development, adoption of bleeding edge tech, the push for innovation, and even the march toward all things social media. Risk management planning, risk identification, qualitative and quantitative risk analysis, contingency planning, and risk monitoring and control are all addressed on a macro as well as micro level. The book begins with a big-picture view of analyzing technology trends to evaluate risk. It shows how to conceptualize trends, analyze their effect on infrastructure, develop metrics to measure success, and assess risk in adapting new technology. The book takes an in-depth look at project-related risks. It explains the fundamentals of project management and how project management relates to systems development and technology implementation. Techniques for analyzing project risk include brainstorming, the Delphi technique, assumption analysis, and decision analysis. Metrics to track and control project risks include the Balance Scorecard, project monitoring and reporting, and business and technology metrics. The book also takes an in-depth look at the role of knowledge management and innovation management in identifying, assessing, and managing risk. The book concludes with an executive's guide to the legal and privacy issues related to risk management, as well overviews of risks associated with social media and mobile environments. With its checklists, templates, and worksheets, the book is an indispensable reference on risk and information technology.

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.

Provides a range of up-to-date case studies to help students understand the real world practice of risk management in organisations Includes an overview situating the subject of risk management in the wider context of corporate governance, aiding student understanding The case studies on Tesco and Birmingham City Council are radically updated to reflect recent controversies, whilst a case study on cyber risk is added for the new edition

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.

If a major event such as a terrorist attack, 7.2 earthquake, tsunami, or hacker attack were to disrupt business operations, would your organization be prepared to respond to the financial, political, and social impacts? In order for your company to be resilient, it must be ready to respond and recover quickly from the impact of such events. Business continuity is the discipline that can help your organization become truly resilient. Business Continuity Planning: A Project Management Approach explains how to deploy project management, risk management, business continuity, and business preparedness methods in a manner that will ensure organizational resiliency. With an emphasis on building business preparedness plans, it covers the fundamental principles of project management, risk management, business continuity, and business preparedness. Upon reading this book, you will learn how to apply project management to institute business continuity governance and to build and maintain business preparedness plans. You will also learn what's required to conduct an effective business impact analysis. Detailing a proven plan for achieving business continuity and business preparedness, the book includes numerous diagrams, checklists, and tools to help you determine exactly what you must do to prepare for a serious event. It also explains how to test your continuity plans and evaluate preparedness processes to ensure your organization will be truly prepared to withstand or recover from the next emergency, disaster, or catastrophic event to affect your organization.

Apart from its foray into technical issues of risk assessment and management, this book has one principal aim. With situations of chancy outcomes certain key factors-including outcome possibilities, overall expectation, threat, and even luck-are measurable parameters. But risk is something different: it is not measurable a single parametric quantity, but a many-sided factor that has several different components, and constitutes a complex phenomenon that must be assessed judgmentally in a highly contextualized way. This book explains and analyzes how this works out in practice. Topics in this work include choice and risk, chance and likelihood, as well as outcome-yield evaluation and risk. It takes into account abnormal situations and eccentric measurements, situational evaluation and expectation and scrutinizes the social aspect of risk. The book is of interest to logicians, philosophers of mathematics, and researchers of risk assessment. The project is a companion piece to the author's LUCK THEORY, also published by Springer.

Risk and reliability analysis is an area of growing importance in geotechnical engineering, where many variables have to be considered. Statistics, reliability modeling and engineering judgement are employed together to develop risk and decision analyses for civil engineering systems. The resulting engineering models are used to make probabilistic predictions, which are applied to geotechnical problems.
Reliability & Statistics in Geotechnical Engineering comprehensively covers the subject of risk and reliability in both practical and research terms
* Includes extensive use of case studies
* Presents topics not covered elsewhere--spatial variability and stochastic properties of geological materials
* No comparable texts available
Practicing engineers will find this an essential resource as will graduates in geotechnical engineering programmes.

Chemical process quantitative risk analysis (CPQRA) as applied to the CPI was first fully described in the first edition of this CCPS Guidelines book. This second edition is packed with information reflecting advances in this evolving methodology, and includes worked examples on a CD-ROM. CPQRA is used to identify incident scenarios and evaluate their risk by defining the probability of failure, the various consequences and the potential impact of those consequences. It is an invaluable methodology to evaluate these when qualitative analysis cannot provide adequate understanding and when more information is needed for risk management. This technique provides a means to evaluate acute hazards and alternative risk reduction strategies, and identify areas for cost-effective risk reduction. There are no simple answers when complex issues are concerned, but CPQRA2 offers a cogent, well-illustrated guide to applying these risk-analysis techniques, particularly to risk control studies.

Special Details: Includes CD-ROM with example problems worked using Excel and Quattro Pro. For use with Windows 95, 98, and NT.

Aware that a single crisis event can devastate their business, managers must be prepared for the worst from an expansive array of threats. The Routledge Companion to Risk, Crisis and Security in Business comprises a professional and scholarly collection of work in this critical field. Risks come in many varieties, and there is a growing concern for organizations to respond to the challenge. Businesses can be severely impacted by natural and man-made disasters including: floods, earthquakes, tsunami, environmental threats, terrorism, supply chain risks, pandemics, and white-collar crime. An organization's resilience is dependent not only on their own system security and infrastructure, but also on the wider infrastructure providing health and safety, utilities, transportation, and communication. Developments in risk security and management knowledge offer a path towards resilience and recovery through effective leadership in crisis situations. The growing body of knowledge in research and methodologies is a basis for decisions to safeguard people and assets, and to ensure the survivability of an organization from a crisis. Not only can businesses become more secure through risk management, but an effective program can also facilitate innovation and afford new opportunities. With chapters written by an international selection of leading experts, this book fills a crucial gap in our current knowledge of risk, crisis and security in business by exploring a broad spectrum of topics in the field. Edited by a globally-recognized expert on risk, this book is a vital reference for researchers, professionals and students with an interest in current scholarship in this expanding discipline.

This book aims to encourage a more reflective, multidisciplinary approach to public safety, and the 'reenfranchisement' of those affected by this new phenomenon. Over the past decade health and safety has become a major issue of public interest. There are countless stories of health and safety activities interfering with public life, preventing some beneficial activity from taking place - even creating absurd or dangerous situations. On the one hand, risk assessment, properly conducted, is highly beneficial - it save lives and prevents injuries. But on the other, it can damage public life. Why has this come about, and does it have to be like that? The authors examine the origins of the problem, look critically at the tools used by safety assessors and their underlying assumptions, and consider important differences between public life and industry (where the approaches largely originated). They illuminate the whole with an analysis of legal requirements, attitudes of stakeholders, and recent research on risk perception and decision making. The result is a profound and important analysis of risk and safety culture and a framework for managing public safety more effectively.

This book is written for the experienced portfolio manager and professional options traders. It is a practical guide offering how to apply options math in a trading world that demands mathematical measurement. Every options trader deals with an array of calculations: beginners learn to identify risks and opportunities using a short list of strategies, while researchers and academics turn to advanced technical manuals. However, almost no books exist for the experienced portfolio managers and professional options traders who fall between these extremes. Michael C. Thomsett addresses this glaring gap with The Mathematics of Options, a practical guide with actionable tools for the practical application of options math in a world that demands quantification. It serves as a valuable reference for advanced methods of evaluating issues of pricing, payoff, probability, and risk. In his characteristic approachable style, Thomsett simplifies complex hot button issues-such as strategic payoffs, return calculations, and hedging options-that may be mentioned in introductory texts but are often underserved. The result is a comprehensive book that helps traders understand the mathematic concepts of options trading so that they can improve their skills and outcomes.

"Financial Risk Forecasting" is a complete introduction to practical quantitative risk management, with a focus on market risk. Derived from the authors teaching notes and years spent training practitioners in risk management techniques, it brings together the three key disciplines of finance, statistics and modeling (programming), to provide a thorough grounding in risk management techniques.

Written by renowned risk expert Jon Danielsson, the book begins with an introduction to financial markets and market prices, volatility clusters, fat tails and nonlinear dependence. It then goes on to present volatility forecasting with both univatiate and multivatiate methods, discussing the various methods used by industry, with a special focus on the GARCH family of models. The evaluation of the quality of forecasts is discussed in detail. Next, the main concepts in risk and models to forecast risk are discussed, especially volatility, value-at-risk and expected shortfall. The focus is both on risk in basic assets such as stocks and foreign exchange, but also calculations of risk in bonds and options, with analytical methods such as delta-normal VaR and duration-normal VaR and Monte Carlo simulation. The book then moves on to the evaluation of risk models with methods like backtesting, followed by a discussion on stress testing. The book concludes by focussing on the forecasting of risk in very large and uncommon events with extreme value theory and considering the underlying assumptions behind almost every risk model in practical use - that risk is exogenous - and what happens when those assumptions are violated.

Every method presented brings together theoretical discussion and derivation of key equations and a discussion of issues in practical implementation. Each method is implemented in both MATLAB and R, two of the most commonly used mathematical programming languages for risk forecasting with which the reader can implement the models illustrated in the book.

The book includes four appendices. The first introduces basic concepts in statistics and financial time series referred to throughout the book. The second and third introduce R and MATLAB, providing a discussion of the basic implementation of the software packages. And the final looks at the concept of maximum likelihood, especially issues in implementation and testing.

The book is accompanied by a website - www.financialriskforecasting.com - which features downloadable code as used in the book.

Assessment of risk and uncertainty is crucial for natural hazard risk management, facilitating risk communication and informing strategies to successfully mitigate our society's vulnerability to natural disasters. Written by some of the world's leading experts, this book provides a state-of-the-art overview of risk and uncertainty assessment in natural hazards. It presents the core statistical concepts using clearly defined terminology applicable across all types of natural hazards and addresses the full range of sources of uncertainty, the role of expert judgement and the practice of uncertainty elicitation. The core of the book provides detailed coverage of all the main hazard types and concluding chapters address the wider societal context of risk management. This is an invaluable compendium for academic researchers and professionals working in the fields of natural hazards science, risk assessment and management and environmental science, and will be of interest to anyone involved in natural hazards policy.

This collection of essays deals with the situated management of risk in a wide variety of organizational settings - aviation, mental health, railway project management, energy, toy manufacture, financial services, chemicals regulation, and NGOs. Each chapter connects the analysis of risk studies with critical themes in organization studies more generally based on access to, and observations of, actors in the field. The emphasis in these contributions is upon the variety of ways in which organizational actors, in combination with a range of material technologies and artefacts, such as safety reporting systems, risk maps and key risk indicators, accomplish and make sense of the normal work of managing risk - riskwork. In contrast to a preoccupation with disasters and accidents after the event, the volume as whole is focused on the situationally specific character of routine risk management work. It emerges that this riskwork is highly varied, entangled with material artefacts which represent and construct risks and, importantly, is not confined to formal risk management departments or personnel. Each chapter suggests that the distributed nature of this riskwork lives uneasily with formalized risk management protocols and accountability requirements. In addition, riskwork as an organizational process makes contested issues of identity and values readily visible. These 'back stage/back office' encounters with risk are revealed as being as much emotional as they are rationally calculative. Overall, the collection combines constructivist sensibilities about risk objects with a micro-sociological orientation to the study of organizations.