Practical Risk Management

State of the art risk management techniques and practices—supplemented with interactive analytics All too often risk management books focus on risk measurement details without taking a broader view. Quantitative Risk Management delivers a synthesis of common sense management together with the cutting-edge tools of modern theory. This book presents a road map for tactical and strategic decision making designed to control risk and capitalize on opportunities. Most provocatively it challenges the conventional wisdom that «risk management» is or ever should be delegated to a separate department. Good managers have always known that managing risk is central to a financial firm and must be the responsibility of anyone who contributes to the profit of the firm. A guide to risk management for financial firms and managers in the post-crisis world, Quantitative Risk Management updates the techniques and tools used to measure and monitor risk. These are often mathematical and specialized, but the ideas are simple. The book starts with how we think about risk and uncertainty, then turns to a practical explanation of how risk is measured in today's complex financial markets. Covers everything from risk measures, probability, and regulatory issues to portfolio risk analytics and reporting Includes interactive graphs and computer code for portfolio risk and analytics Explains why tactical and strategic decisions must be made at every level of the firm and portfolio Providing the models, tools, and techniques firms need to build the best risk management practices, Quantitative Risk Management is an essential volume from an experienced manager and quantitative analyst.

Many of the books on construction risk management concentrate on theoretical approaches to the accurate assessment of the overall risks of taking on a new project. Less attention is paid to the typical risks to which the operational level of a project is exposed and how operational managers should approach those risks during project implementation. This book identifies precisely where the major EPC/Design-Build risks occur within an operational framework and shows how best to deal with those risks. The book attempts to offer practical advice, approaches and tools for dealing with risks to which the various operational departments are exposed.

At last, smaller chemical processing operations have truly easy access to process safety and risk management programs tailored to meet their needs. Written as a «how to» book with checklists, it offers sufficient information for managers of facilities with small chemical operations to implement a process safety program and meet existing regulations.

Risk management practices are growing both in number and complexity in businesses, notably driven by new regulatory standards that feature risk management at their core. Although large businesses are more likely to adopt a formal, holistic approach to risk management, the stakes are just as high for SMEs. Risk management in SMEs can contribute to a certain organizational, entrepreneurial and partnership dynamic which constitutes a real opportunity to evolve practices and improve performance. This book offers varied responses to this question by combining conceptual approaches, empirical illustrations and the associated managerial implications.

Models and methods for operational risks assessment and mitigation are gaining importance in financial institutions, healthcare organizations, industry, businesses and organisations in general. This book introduces modern Operational Risk Management and describes how various data sources of different types, both numeric and semantic sources such as text can be integrated and analyzed. The book also demonstrates how Operational Risk Management is synergetic to other risk management activities such as Financial Risk Management and Safety Management. Operational Risk Management: a practical approach to intelligent data analysis provides practical and tested methodologies for combining structured and unstructured, semantic-based data, and numeric data, in Operational Risk Management (OpR) data analysis. Key Features: The book is presented in four parts: 1) Introduction to OpR Management, 2) Data for OpR Management, 3) OpR Analytics and 4) OpR Applications and its Integration with other Disciplines. Explores integration of semantic, unstructured textual data, in Operational Risk Management. Provides novel techniques for combining qualitative and quantitative information to assess risks and design mitigation strategies. Presents a comprehensive treatment of «near-misses» data and incidents in Operational Risk Management. Looks at case studies in the financial and industrial sector. Discusses application of ontology engineering to model knowledge used in Operational Risk Management. Many real life examples are presented, mostly based on the MUSING project co-funded by the EU FP6 Information Society Technology Programme. It provides a unique multidisciplinary perspective on the important and evolving topic of Operational Risk Management. The book will be useful to operational risk practitioners, risk managers in banks, hospitals and industry looking for modern approaches to risk management that combine an analysis of structured and unstructured data. The book will also benefit academics interested in research in this field, looking for techniques developed in response to real world problems.

Cybersecurity Risk Management In Cybersecurity Risk Management: Mastering the Fundamentals Using the NIST Cybersecurity Framework , veteran technology analyst Cynthia Brumfield, with contributions from cybersecurity expert Brian Haugli, delivers a straightforward and up-to-date exploration of the fundamentals of cybersecurity risk planning and management. The book offers readers easy-to-understand overviews of cybersecurity risk management principles, user, and network infrastructure planning, as well as the tools and techniques for detecting cyberattacks. The book also provides a roadmap to the development of a continuity of operations plan in the event of a cyberattack. With incisive insights into the Framework for Improving Cybersecurity of Critical Infrastructure produced by the United States National Institute of Standards and Technology (NIST), Cybersecurity Risk Management presents the gold standard in practical guidance for the implementation of risk management best practices. Filled with clear and easy-to-follow advice, this book also offers readers: A concise introduction to the principles of cybersecurity risk management and the steps necessary to manage digital risk to systems, assets, data, and capabilities A valuable exploration of modern tools that can improve an organization’s network infrastructure protection A practical discussion of the challenges involved in detecting and responding to a cyberattack and the importance of continuous security monitoring A helpful examination of the recovery from cybersecurity incidents Perfect for undergraduate and graduate students studying cybersecurity, Cybersecurity Risk Management is also an ideal resource for IT professionals working in private sector and government organizations worldwide who are considering implementing, or who may be required to implement, the NIST Framework at their organization.

Corporate Risk Management analyses, compares and contrasts tools and techniques used in risk management at corporate, strategic business and project level and develops a risk management mechanism for the sequencing of risk assessment through corporate, strategic and project stages of an investment in order to meet the requirements of the 1999 Turnbull report. By classifying and categorising risk within these levels, readers will learn how to drill down and roll-up to any level of the organisational structure, establish the risks that each project is most sensitive to, and implement the appropriate risk response strategy – to the benefit of all stakeholders.

The book analyzes, compares, and contrasts tools and techniques used in risk management at corporate, strategic business and project level and develops a risk management mechanism for the sequencing of risk assessment through corporate, strategic and project stages of an investment in order to meet the requirements of the 1999 Turnbull report. By classifying and categorizing risk within these levels it is possible to drill down and roll-up to any level of the organizational structure and to establish the risks that each project is most sensitive to, so that appropriate risk response strategies may be implemented to benefit all stakeholders. «The new edition of this book provides a clear insight into the intricacies of corporate risk management and the addition of the case study exemplars aids understanding of the management of multiple projects in the real world.» —Professor Nigel Smith, Head of the School of Civil Engineering, University of Leeds

Risk has two sides: underestimating it harms the investor, while overestimating it prevents the implementation of bold business projects. This book explains, from the point of view of the practitioner, the analysis of investment risk – a proper account of adequate risk management strategies – and offers an objective and readable account of the most common investment risk management procedures. It will not be highly mathematical, although mathematical formulae and technical graphs will be used where necessary, and will not rely on excessive technical jargon. The author also covers guidelines of regulatory institutions that protect the market and the investor: Bank of International Settlements, US SEC and UK FSA.