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| Author | : Daniel Ellsberg |
| Publisher | : Taylor & Francis |
| Total Pages | : 340 |
| Release | : 2001 |
| Genre | : Business & Economics |
| ISBN | : 9780815340225 |
First Published in 2001. Routledge is an imprint of Taylor & Francis, an informa company.
| Author | : Donald J. Brown |
| Publisher | : Springer Nature |
| Total Pages | : 88 |
| Release | : 2020-12-18 |
| Genre | : Business & Economics |
| ISBN | : 3030595129 |
This book is an exploration of the ubiquity of ambiguity in decision-making under uncertainty. It presents various essays on behavioral economics and behavioral finance that draw on the theory of Black Swans (Taleb 2010), which argues for a distinction between unprecedented events in our past and unpredictable events in our future. The defining property of Black Swan random events is that they are unpredictable, i.e., highly unlikely random events. In this text, Mandelbrot’s (1972) operational definition of risky random unpredictable events is extended to Black Swan assets – assets for which the cumulative probability distribution or conditional probability distribution of random future asset returns is a power distribution. Ambiguous assets are assets for which the uncertainties of future returns are not risks. Consequently, there are two disjoint classes of Black Swan assets: Risky Black Swan assets and Ambiguous Black Swan assets, a new class of ambiguous assets with unpredictable random future outcomes. The text is divided into two parts, the first of which focuses on affective moods, introduces affective utility functions and discusses the ambiguity of Black Swans. The second part, which shifts the spotlight to affective equilibrium in asset markets, features chapters on affective portfolio analysis and Walrasian and Gorman Polar Form Equilibrium Inequalities. In order to gain the most from the book, readers should have completed the standard introductory graduate courses on microeconomics, behavioral finance, and convex optimization. The book is intended for advanced undergraduates, graduate students and post docs specializing in economic theory, experimental economics, finance, mathematics, computer science or data analysis.
| Author | : Peter P. Wakker |
| Publisher | : Cambridge University Press |
| Total Pages | : 519 |
| Release | : 2010-07-22 |
| Genre | : Business & Economics |
| ISBN | : 1139489100 |
Prospect Theory: For Risk and Ambiguity, provides a comprehensive and accessible textbook treatment of the way decisions are made both when we have the statistical probabilities associated with uncertain future events (risk) and when we lack them (ambiguity). The book presents models, primarily prospect theory, that are both tractable and psychologically realistic. A method of presentation is chosen that makes the empirical meaning of each theoretical model completely transparent. Prospect theory has many applications in a wide variety of disciplines. The material in the book has been carefully organized to allow readers to select pathways through the book relevant to their own interests. With numerous exercises and worked examples, the book is ideally suited to the needs of students taking courses in decision theory in economics, mathematics, finance, psychology, management science, health, computer science, Bayesian statistics, and engineering.
| Author | : Mark Machina |
| Publisher | : Newnes |
| Total Pages | : 897 |
| Release | : 2013-11-14 |
| Genre | : Business & Economics |
| ISBN | : 0444536868 |
The need to understand the theories and applications of economic and finance risk has been clear to everyone since the financial crisis, and this collection of original essays proffers broad, high-level explanations of risk and uncertainty. The economics of risk and uncertainty is unlike most branches of economics in spanning from the individual decision-maker to the market (and indeed, social decisions), and ranging from purely theoretical analysis through individual experimentation, empirical analysis, and applied and policy decisions. It also has close and sometimes conflicting relationships with theoretical and applied statistics, and psychology. The aim of this volume is to provide an overview of diverse aspects of this field, ranging from classical and foundational work through current developments. Presents coherent summaries of risk and uncertainty that inform major areas in economics and finance Divides coverage between theoretical, empirical, and experimental findings Makes the economics of risk and uncertainty accessible to scholars in fields outside economics
| Author | : Gideon Keren |
| Publisher | : John Wiley & Sons |
| Total Pages | : 1056 |
| Release | : 2016-02-16 |
| Genre | : Psychology |
| ISBN | : 1118468392 |
A comprehensive, up-to-date examination of the most important theory, concepts, methodological approaches, and applications in the burgeoning field of judgment and decision making (JDM) Emphasizes the growth of JDM applications with chapters devoted to medical decision making, decision making and the law, consumer behavior, and more Addresses controversial topics from multiple perspectives – such as choice from description versus choice from experience – and contrasts between empirical methodologies employed in behavioral economics and psychology Brings together a multi-disciplinary group of contributors from across the social sciences, including psychology, economics, marketing, finance, public policy, sociology, and philosophy 2 Volumes
| Author | : Daniel Ellsberg |
| Publisher | : Routledge |
| Total Pages | : 336 |
| Release | : 2015-07-03 |
| Genre | : Philosophy |
| ISBN | : 1136711988 |
Ellsberg elaborates on "Risk, Ambiguity, and the Savage Axioms" and mounts a powerful challenge to the dominant theory of rational decision in this book.
| Author | : Frank H. Knight |
| Publisher | : Cosimo, Inc. |
| Total Pages | : 401 |
| Release | : 2006-11-01 |
| Genre | : Business & Economics |
| ISBN | : 1602060053 |
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.
| Author | : R. M. Hogarth |
| Publisher | : |
| Total Pages | : 47 |
| Release | : 1984 |
| Genre | : |
| ISBN | : |
The analysis of insurance decision making has traditionally been based on the expected utility model. However, whereas this model ignores the precision with which probabilities can be estimated, there is considerable evidence that uncertainty about uncertainties does affect choice behavior. This paper examines the effects of such ambiguity on insurance decision making by both firms and consumers. After providing examples of the possible effects of ambiguity on the market for insurance, insurance decision making is analyzed theoretically with the aid of the ambiguity model developed by Einhorn and Hogarth (1984). The implications of this model are then tested in a series of four experiments using economically sophisticated subjects. The experimental results accord closely with the theoretical predictions, e.g.: firm's minimum selling prices are more sensitive to ambiguity than consumers' maximum buying prices; for firms, the most profitable market segment per dollar coverage occurs for small probability of loss events where consumers are ambiguous but firms are not; conditions exist where people seek rather than avoid ambiguity.
| Author | : Itzhak Gilboa |
| Publisher | : Cambridge University Press |
| Total Pages | : 216 |
| Release | : 2009-03-16 |
| Genre | : Business & Economics |
| ISBN | : 052151732X |
This book describes the classical axiomatic theories of decision under uncertainty, as well as critiques thereof and alternative theories. It focuses on the meaning of probability, discussing some definitions and surveying their scope of applicability. The behavioral definition of subjective probability serves as a way to present the classical theories, culminating in Savage's theorem. The limitations of this result as a definition of probability lead to two directions - first, similar behavioral definitions of more general theories, such as non-additive probabilities and multiple priors, and second, cognitive derivations based on case-based techniques.
| Author | : Jeffrey W. Herrmann |
| Publisher | : John Wiley & Sons |
| Total Pages | : 356 |
| Release | : 2015-04-06 |
| Genre | : Business & Economics |
| ISBN | : 1118919335 |
IIE/Joint Publishers Book of the Year Award 2016! Awarded for ‘an outstanding published book that focuses on a facet of industrial engineering, improves education, or furthers the profession’. Engineering Decision Making and Risk Management emphasizes practical issues and examples of decision making with applications in engineering design and management Featuring a blend of theoretical and analytical aspects, this book presents multiple perspectives on decision making to better understand and improve risk management processes and decision-making systems. Engineering Decision Making and Risk Management uniquely presents and discusses three perspectives on decision making: problem solving, the decision-making process, and decision-making systems. The author highlights formal techniques for group decision making and game theory and includes numerical examples to compare and contrast different quantitative techniques. The importance of initially selecting the most appropriate decision-making process is emphasized through practical examples and applications that illustrate a variety of useful processes. Presenting an approach for modeling and improving decision-making systems, Engineering Decision Making and Risk Management also features: Theoretically sound and practical tools for decision making under uncertainty, multi-criteria decision making, group decision making, the value of information, and risk management Practical examples from both historical and current events that illustrate both good and bad decision making and risk management processes End-of-chapter exercises for readers to apply specific learning objectives and practice relevant skills A supplementary website with instructional support material, including worked solutions to the exercises, lesson plans, in-class activities, slides, and spreadsheets An excellent textbook for upper-undergraduate and graduate students, Engineering Decision Making and Risk Management is appropriate for courses on decision analysis, decision making, and risk management within the fields of engineering design, operations research, business and management science, and industrial and systems engineering. The book is also an ideal reference for academics and practitioners in business and management science, operations research, engineering design, systems engineering, applied mathematics, and statistics.
