Experts from academia and government, who are engaged in research in the area of risk communication, present a compendium of cases that give information and allow the development of strategies to improve the communication of scientific information to the public.
The Universe of Risk provides a comprehensive, colourful guide to risk management, incorporating the new drivers of risk, and a fresh model for business success.
What do you really know about your competitors, and potential competitors? What are the real threats your business faces in the next two years? What do your competitors know about you, how did they find out about it and how can you stop them finding out more?
Real option analysis allows us to make the right decision at the right time. Providing for the first time an integrated framework that can address decisions under an extreme form of uncertainty, real options analysis is one of the most important developments in business decision analysis of the last century.
Information security is no longer the exclusive domain of IT security practitioners -- now all business executives need to be familiar with the high level concepts and issues surrounding the security of their enterprise.
This work collects together 45 models likely to be required by management students, summarized in a standard format. Each entry contains: a diagram of the model; the principles on which it is based; underlying assumptions; guidance on application; related models; and sources of further reference.
This text offers an advanced introduction to the models of credit risk valuation. It concentrates on firm-value and reduced-form approaches and their applications in practice. Numerical examples illustrate the effects of credit risk on the prices of financial derivatives.
This volume contains peer-reviewed papers and case studies derived from invited papers. The contributions address two key problems: natural, technological and environmental risks, risk prevention and sustainable development; and science, risk and society.
Offers chapters on the basic notions and tools of risk management, and capital requirements for financial institutions. Using empirical financial data and analogies to physical models such as fluid flows, turbulence, or superdiffusion, this book develops a description of financial markets based on random walks.
Presents at an introductory level some stochastic models applied in economics, finance and insurance. This book uses Markov chains, random walks, stochastic differential equations and other stochastic processes throughout and systematically applies them to economic and financial applications.
Meta-heuristics have developed dramatically since their inception in the early 1980s. Based on the first conference on Meta-Heuristics, this title contains 41 papers on development in heuristic theory and applications.
A collection of work representative of the theory of decision making under risk and uncertainty. The authors present extensions and alternatives to expected utility theory explaining diverse behaviour, including activity in financial markets, crimes of passion and the Ellsberg paradox.
Presents models, methods, and techniques for building, managing and using corporate memories. This book is divided into five parts: methods; knowledge-based approaches; ontologies and documents; case-based reasoning approaches; and, distributed and collaborative approaches.