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'Mastering Risk Modelling' provides useful tips and methods for developing simple Excel applications. In particular, it discusses model design and how to layer complexity on to basic models. The result is a series of templates and building blocks for the reader to use.
Risk modeling is now a core skill for successful managers inside and outside finance. Alastair Day's "Mastering Risk Modelling" shows managers exactly how to build Excel-based models for identifying, quantifying and managing risk--models that provide clear, accurate decision-making guidance that can be used with confidence throughout the enterprise. An ideal follow-up to Day's bestselling "Mastering Financial Modelling," the book brings together risk modeling theory and practice more effectively than ever before. Day presents extensive tips and methods for developing Excel-based risk applications--including practical guidance on designing models and layering complexity on top of basic models. His series of Excel templates will jumpstart your own modeling, eliminate the need to start from scratch, and provide powerful insights for improving any model. All models are provided on an accompanying CD-ROM.
Your practical step-by-step guide to planning and building cash valuation models. Through a set of comprehensive instructions and templates it provides the tools to build models that will enable you to carry out accurate and informed analysis of your company’s cash liabilities, cash flow and value. If you are buying the ebook, companion files can be downloaded from the digital downloads section of http://www.financial-models.com/.
A practical guide, from the basic techniques, through to advanced applications, showing you what risk management is, and how you can develop a successful strategy for your company.
Examines timely multidisciplinary applications, problems, and case histories in risk modeling, assessment, and management Risk Modeling, Assessment, and Management, Third Edition describes the state of the art of risk analysis, a rapidly growing field with important applications in engineering, science, manufacturing, business, homeland security, management, and public policy. Unlike any other text on the subject, this definitive work applies the art and science of risk analysis to current and emergent engineering and socioeconomic problems. It clearly demonstrates how to quantify risk and construct probabilities for real-world decision-making problems, including a host of institutional, organizational, and political issues. Avoiding higher mathematics whenever possible, this important new edition presents basic concepts as well as advanced material. It incorporates numerous examples and case studies to illustrate the analytical methods under discussion and features restructured and updated chapters, as well as: A new chapter applying systems-driven and risk-based analysis to a variety of Homeland Security issues An accompanying FTP site—developed with Professor Joost Santos—that offers 150 example problems with an Instructor's Solution Manual and case studies from a variety of journals Case studies on the 9/11 attack and Hurricane Katrina An adaptive multiplayer Hierarchical Holographic Modeling (HHM) game added to Chapter Three This is an indispensable resource for academic, industry, and government professionals in such diverse areas as homeland and cyber security, healthcare, the environment, physical infrastructure systems, engineering, business, and more. It is also a valuable textbook for both undergraduate and graduate students in systems engineering and systems management courses with a focus on our uncertain world.
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.