The Knowledge Ahead Approach to Risk


Book Description

This book is written for those seeking a decision theory appropriate for use in serious choices such as insurance. It employs stages of knowledge ahead to track satisfactions and dissatisfactions. From experimental and questionnaire data, people take into account such stages of knowledge ahead satisfactions and dissatisfactions. This means we must go beyond standard decision theories like expected utility or cumulative prospect theory.




Financial Risk Management with Bayesian Estimation of GARCH Models


Book Description

This book presents in detail methodologies for the Bayesian estimation of sing- regime and regime-switching GARCH models. These models are widespread and essential tools in n ancial econometrics and have, until recently, mainly been estimated using the classical Maximum Likelihood technique. As this study aims to demonstrate, the Bayesian approach o ers an attractive alternative which enables small sample results, robust estimation, model discrimination and probabilistic statements on nonlinear functions of the model parameters. The author is indebted to numerous individuals for help in the preparation of this study. Primarily, I owe a great debt to Prof. Dr. Philippe J. Deschamps who inspired me to study Bayesian econometrics, suggested the subject, guided me under his supervision and encouraged my research. I would also like to thank Prof. Dr. Martin Wallmeier and my colleagues of the Department of Quantitative Economics, in particular Michael Beer, Roberto Cerratti and Gilles Kaltenrieder, for their useful comments and discussions. I am very indebted to my friends Carlos Ord as Criado, Julien A. Straubhaar, J er ^ ome Ph. A. Taillard and Mathieu Vuilleumier, for their support in the elds of economics, mathematics and statistics. Thanks also to my friend Kevin Barnes who helped with my English in this work. Finally, I am greatly indebted to my parents and grandparents for their support and encouragement while I was struggling with the writing of this thesis.




Risk, Uncertainty and Profit


Book Description

A timeless classic of economic theory that remains fascinating and pertinent today, this is Frank Knight's famous explanation of why perfect competition cannot eliminate profits, the important differences between "risk" and "uncertainty," and the vital role of the entrepreneur in profitmaking. Based on Knight's PhD dissertation, this 1921 work, balancing theory with fact to come to stunning insights, is a distinct pleasure to read. FRANK H. KNIGHT (1885-1972) is considered by some the greatest American scholar of economics of the 20th century. An economics professor at the University of Chicago from 1927 until 1955, he was one of the founders of the Chicago school of economics, which influenced Milton Friedman and George Stigler.




Risk Quantification


Book Description

This book offers a practical answer for the non-mathematician to all the questions any businessman always wanted to ask about risk quantification, and never dare to ask. Enterprise-wide risk management (ERM) is a key issue for board of directors worldwide. Its proper implementation ensures transparent governance with all stakeholders’ interests integrated into the strategic equation. Furthermore, Risk quantification is the cornerstone of effective risk management,at the strategic and tactical level, covering finance as well as ethics considerations. Both downside and upside risks (threats & opportunities) must be assessed to select the most efficient risk control measures and to set up efficient risk financing mechanisms. Only thus will an optimum return on capital and a reliable protection against bankruptcy be ensured, i.e. long term sustainable development. Within the ERM framework, each individual operational entity is called upon to control its own risks, within the guidelines set up by the board of directors, whereas the risk financing strategy is developed and implemented at the corporate level to optimise the balance between threats and opportunities, systematic and non systematic risks. This book is designed to equip each board member, each executives and each field manager, with the tool box enabling them to quantify the risks within his/her jurisdiction to all the extend possible and thus make sound, rational and justifiable decisions, while recognising the limits of the exercise. Beyond traditional probability analysis, used since the 18th Century by the insurance community, it offers insight into new developments like Bayesian expert networks, Monte-Carlo simulation, etc. with practical illustrations on how to implement them within the three steps of risk management, diagnostic, treatment and audit. With a foreword by Catherine Veret and an introduction by Kevin Knight.




Fuzzy Portfolio Optimization


Book Description

Most of the existing portfolio selection models are based on the probability theory. Though they often deal with the uncertainty via probabilistic - proaches, we have to mention that the probabilistic approaches only partly capture the reality. Some other techniques have also been applied to handle the uncertainty of the ?nancial markets, for instance, the fuzzy set theory [Zadeh (1965)]. In reality, many events with fuzziness are characterized by probabilistic approaches, although they are not random events. The fuzzy set theory has been widely used to solve many practical problems, including ?nancial risk management. By using fuzzy mathematical approaches, quan- tative analysis, qualitative analysis, the experts’ knowledge and the investors’ subjective opinions can be better integrated into a portfolio selection model. The contents of this book mainly comprise of the authors’ research results for fuzzy portfolio selection problems in recent years. In addition, in the book, the authors will also introduce some other important progress in the ?eld of fuzzy portfolio optimization. Some fundamental issues and problems of po- folioselectionhavebeenstudiedsystematicallyandextensivelybytheauthors to apply fuzzy systems theory and optimization methods. A new framework for investment analysis is presented in this book. A series of portfolio sel- tion models are given and some of them might be more e?cient for practical applications. Some application examples are given to illustrate these models by using real data from the Chinese securities markets.




Good Practices for Disaster Risk Management of Cultural Heritage


Book Description

This book is a selection of case studies undertaken by cultural heritage and disaster risk management professionals across the world demonstrating good practices for disaster risk management of cultural heritage. The readers will learn about the practical application of various methodologies, tools, and techniques for disaster risk assessment, mitigation, preparedness, response, and recovery of cultural heritage. They will also learn about the application of traditional knowledge and engagement of communities for disaster risk management of cultural heritage. This will help relevant organisations and professionals to develop and implement projects in this field. The intended audience for this book are Practitioners or site managers of cultural heritage sites and museums. Also, researchers and students studying disaster risk management of cultural heritage. The book will also be of interest to disaster risk management institutions at the urban, regional or national level/cultural heritage management institutions at the urban, regional or national level/city administration, municipalities, urban local bodies and planning departments/educational and research institutions which have specialised programmes in engineering, planning, disaster risk management, and conservation of cultural heritage.







Computational Aspects of General Equilibrium Theory


Book Description

This monograph presents a general equilibrium methodology for microeconomic policy analysis. It is intended to serve as an alternative to the now classical, axiomatic general equilibrium theory as exposited in Debreu`s Theory of Value (1959) or Arrow and Hahn`s General Competitive Analysis (1971). The monograph consists of several essays written over the last decade. It also contains an appendix by Charles Steinhorn on the elements of O-minimal structures.




New Approaches to Local Climate Change Risk Analysis


Book Description

The JPI Climate – AXIS project “Unpacking climate impact CHAINs. A new generation of action – and user-oriented climate change risk assessments” (UNCHAIN) is approaching its end date (31.12.2022), and the project is looking for an opportunity to collect its remaining scientific publications into a Research Topic. The overall objective of UNCHAIN is to improve climate change risk assessment frameworks aimed at informed decision-making and climate change adaptation action through six methodological innovations: • To also cover the possible need for long-term and large-scale efforts of societal transformation; • To refine a structured method of co-production of knowledge and integrate this into impact modelling; • To develop and test an applicable framework for analyzing how societal change can affect local climate change vulnerabilities; • To develop and test a standardized analytical framework for addressing uncertainties involved in local decision-making on climate change adaptation; • To integrate the trans-national impacts of climate change; and, • To link mitigation and adaptation in climate risk and vulnerability assessments.




Risk and Responsibilisation in Public Communication


Book Description

This book explores the connections between risk and responsibilisation in official communication to the public about the global risks of the pandemic and climate change. Our media spheres in the 2020s have been saturated with information about what we should or should not be doing to meet the challenges of the COVID-19 pandemic and climate change. Although the ability of risk communication to ‘responsibilise’ the public is central to its functioning in our societies, this aspect has so far been under-investigated in academia. To address this lacuna, Antoinette Fage-Butler develops a discursive approach to risk communication that focuses on the values that are communicated in risk messages. Examples of official risk communication about the pandemic and climate change from national and transnational contexts are analysed and compared, leading to new empirical findings and theoretical insights about the nature of risk and responsibilisation. Fage-Butler also builds on recent stirrings in the evolving field of risk communication that highlight the importance of cultural and value-related factors. Overall, this book will equip researchers with an approach to risk communication that reflects the complexity of today’s global risk challenges. Risk and Responsibilisation in Public Communication will be of great interest to students and scholars of risk communication, public health and environmental studies.