Risk, Ambiguity and Decision

Risk, Ambiguity and Decision PDF Author: Daniel Ellsberg
Publisher: Routledge
ISBN: 1136711988
Category : Philosophy
Languages : en
Pages : 336

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Book Description
Ellsberg elaborates on "Risk, Ambiguity, and the Savage Axioms" and mounts a powerful challenge to the dominant theory of rational decision in this book.

Risk, Ambiguity and Decision

Risk, Ambiguity and Decision PDF Author: Daniel Ellsberg
Publisher: Routledge
ISBN: 1136711988
Category : Philosophy
Languages : en
Pages : 336

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Book Description
Ellsberg elaborates on "Risk, Ambiguity, and the Savage Axioms" and mounts a powerful challenge to the dominant theory of rational decision in this book.

Risk, Ambiguity, and Decision

Risk, Ambiguity, and Decision PDF Author: Daniel Ellsberg
Publisher: Taylor & Francis
ISBN: 9780815340225
Category : Business & Economics
Languages : en
Pages : 340

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Book Description
First Published in 2001. Routledge is an imprint of Taylor & Francis, an informa company.

Affective Decision Making Under Uncertainty

Affective Decision Making Under Uncertainty PDF Author: Donald J. Brown
Publisher: Springer
ISBN: 9783030595111
Category : Business & Economics
Languages : en
Pages : 81

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Book Description
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 PDF Author: Peter P. Wakker
Publisher: Cambridge University Press
ISBN: 1139489100
Category : Business & Economics
Languages : en
Pages : 519

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Book Description
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.

Advances in Decision Making Under Risk and Uncertainty

Advances in Decision Making Under Risk and Uncertainty PDF Author: Mohammed Abdellaoui
Publisher: Springer Science & Business Media
ISBN: 3540684360
Category : Business & Economics
Languages : en
Pages : 245

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Book Description
Whether we like it or not we all feel that the world is uncertain. From choosing a new technology to selecting a job, we rarely know in advance what outcome will result from our decisions. Unfortunately, the standard theory of choice under uncertainty developed in the early forties and fifties turns out to be too rigid to take many tricky issues of choice under uncertainty into account. The good news is that we have now moved away from the early descriptively inadequate modeling of behavior. This book brings the reader into contact with the accomplished progress in individual decision making through the most recent contributions to uncertainty modeling and behavioral decision making. It also introduces the reader into the many subtle issues to be resolved for rational choice under uncertainty.

Handbook of the Economics of Risk and Uncertainty

Handbook of the Economics of Risk and Uncertainty PDF Author: Mark Machina
Publisher: Newnes
ISBN: 0444536868
Category : Business & Economics
Languages : en
Pages : 897

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Book Description
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, Uncertainty and Profit

Risk, Uncertainty and Profit PDF Author: Frank H. Knight
Publisher: Cosimo, Inc.
ISBN: 1602060053
Category : Business & Economics
Languages : en
Pages : 401

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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.

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

The Wiley Blackwell Handbook of Judgment and Decision Making, 2 Volume Set PDF Author: Gideon Keren
Publisher: John Wiley & Sons
ISBN: 1118468392
Category : Psychology
Languages : en
Pages : 1056

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Book Description
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

Robustness

Robustness PDF Author: Lars Peter Hansen
Publisher: Princeton University Press
ISBN: 0691170975
Category : Business & Economics
Languages : en
Pages : 453

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Book Description
The standard theory of decision making under uncertainty advises the decision maker to form a statistical model linking outcomes to decisions and then to choose the optimal distribution of outcomes. This assumes that the decision maker trusts the model completely. But what should a decision maker do if the model cannot be trusted? Lars Hansen and Thomas Sargent, two leading macroeconomists, push the field forward as they set about answering this question. They adapt robust control techniques and apply them to economics. By using this theory to let decision makers acknowledge misspecification in economic modeling, the authors develop applications to a variety of problems in dynamic macroeconomics. Technical, rigorous, and self-contained, this book will be useful for macroeconomists who seek to improve the robustness of decision-making processes.

Identification for Prediction and Decision

Identification for Prediction and Decision PDF Author: Charles F. Manski
Publisher: Harvard University Press
ISBN: 9780674033665
Category : Psychology
Languages : en
Pages : 370

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Book Description
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.