Risk, Ambiguity, and Decision

Risk, Ambiguity, and Decision
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.

Affective Decision Making Under Uncertainty

Affective Decision Making Under Uncertainty
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.

Prospect Theory

Prospect Theory
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.

Handbook of the Economics of Risk and Uncertainty

Handbook of the Economics of Risk and Uncertainty
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

Risk, Ambiguity and Decision

Risk, Ambiguity and Decision
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.

The Wiley Blackwell Handbook of Judgment and Decision Making, 2 Volume Set

The Wiley Blackwell Handbook of Judgment and Decision Making, 2 Volume Set
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

Uncertain Decisions

Uncertain Decisions
Author: Luigi Luini
Publisher: Springer Science & Business Media
Total Pages: 360
Release: 2012-12-06
Genre: Business & Economics
ISBN: 1461550831

Uncertain Decisions: Bridging Theory and Experiments presents advanced directions of thinking on decision theory - in particular the more recent contributions on non-expected utility theory, fuzzy decision theory and case-based theory. This work also provides theoretical insights on measures of risk aversion and on new problems for general equilibrium analysis. It analyzes how the thinking that underlies the theories described above spills over into real decisions, and how the thinking that underlies these real decisions can explain the discrepancies between theoretical approaches and actual behavior. This work elaborates on how the most recent laboratory experiments have become an important source both for evaluating the leading theory of choice and decision, and for contributing to the formation of new models regarding the subject.

Risk, Ambiguity, and Insurance

Risk, Ambiguity, and Insurance
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.

Identification for Prediction and Decision

Identification for Prediction and Decision
Author: Charles F. Manski
Publisher: Harvard University Press
Total Pages: 370
Release: 2009-06-30
Genre: Psychology
ISBN: 9780674033665

This book is a full-scale exposition of Charles Manski's new methodology for analyzing empirical questions in the social sciences. He recommends that researchers first ask what can be learned from data alone, and then ask what can be learned when data are combined with credible weak assumptions. Inferences predicated on weak assumptions, he argues, can achieve wide consensus, while ones that require strong assumptions almost inevitably are subject to sharp disagreements. Building on the foundation laid in the author's Identification Problems in the Social Sciences (Harvard, 1995), the book's fifteen chapters are organized in three parts. Part I studies prediction with missing or otherwise incomplete data. Part II concerns the analysis of treatment response, which aims to predict outcomes when alternative treatment rules are applied to a population. Part III studies prediction of choice behavior. Each chapter juxtaposes developments of methodology with empirical or numerical illustrations. The book employs a simple notation and mathematical apparatus, using only basic elements of probability theory.