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Author: Evert Jan van de Kaa
Publisher:
ISBN:
Category : Decision making
Languages : en
Pages : 452
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Book Description
Author: Evert Jan van de Kaa
Publisher:
ISBN:
Category : Decision making
Languages : en
Pages : 452
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Book Description
Author: Daniel Kahneman
Publisher:
ISBN:
Category : Utility theory
Languages : en
Pages : 27
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Book Description
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.
Author: Leonard C. MacLean
Publisher: World Scientific
ISBN: 9814417351
Category : Business & Economics
Languages : en
Pages : 941
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Book Description
This handbook in two parts covers key topics of the theory of financial decision making. Some of the papers discuss real applications or case studies as well. There are a number of new papers that have never been published before especially in Part II.Part I is concerned with Decision Making Under Uncertainty. This includes subsections on Arbitrage, Utility Theory, Risk Aversion and Static Portfolio Theory, and Stochastic Dominance. Part II is concerned with Dynamic Modeling that is the transition for static decision making to multiperiod decision making. The analysis starts with Risk Measures and then discusses Dynamic Portfolio Theory, Tactical Asset Allocation and Asset-Liability Management Using Utility and Goal Based Consumption-Investment Decision Models.A comprehensive set of problems both computational and review and mind expanding with many unsolved problems are in an accompanying problems book. The handbook plus the book of problems form a very strong set of materials for PhD and Masters courses both as the main or as supplementary text in finance theory, financial decision making and portfolio theory. For researchers, it is a valuable resource being an up to date treatment of topics in the classic books on these topics by Johnathan Ingersoll in 1988, and William Ziemba and Raymond Vickson in 1975 (updated 2 nd edition published in 2006).
Author: Rose McDermott
Publisher: University of Michigan Press
ISBN: 9780472087877
Category : Political Science
Languages : en
Pages : 256
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Book Description
Discusses the way leaders deal with risk in making foreign policy decisions
Author: Jie Wang
Publisher: Infinite Study
ISBN:
Category : Mathematics
Languages : en
Pages : 17
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Book Description
In this article, we extend the original TODIM (Portuguese acronym for Interactive Multi-Criteria Decision Making) method to the 2-tuple linguistic neutrosophic fuzzy environment to propose the 2TLNNs TODIM method. In the extended method, we use 2-tuple linguistic neutrosophic numbers (2TLNNs) to present the criteria values in multiple attribute group decision making (MAGDM) problems.
Author: Paul W. Glimcher
Publisher: Academic Press
ISBN: 0123914698
Category : Psychology
Languages : en
Pages : 606
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Book Description
In the years since it first published, Neuroeconomics: Decision Making and the Brain has become the standard reference and textbook in the burgeoning field of neuroeconomics. The second edition, a nearly complete revision of this landmark book, will set a new standard. This new edition features five sections designed to serve as both classroom-friendly introductions to each of the major subareas in neuroeconomics, and as advanced synopses of all that has been accomplished in the last two decades in this rapidly expanding academic discipline. The first of these sections provides useful introductions to the disciplines of microeconomics, the psychology of judgment and decision, computational neuroscience, and anthropology for scholars and students seeking interdisciplinary breadth. The second section provides an overview of how human and animal preferences are represented in the mammalian nervous systems. Chapters on risk, time preferences, social preferences, emotion, pharmacology, and common neural currencies—each written by leading experts—lay out the foundations of neuroeconomic thought. The third section contains both overview and in-depth chapters on the fundamentals of reinforcement learning, value learning, and value representation. The fourth section, "The Neural Mechanisms for Choice, integrates what is known about the decision-making architecture into state-of-the-art models of how we make choices. The final section embeds these mechanisms in a larger social context, showing how these mechanisms function during social decision-making in both humans and animals. The book provides a historically rich exposition in each of its chapters and emphasizes both the accomplishments and the controversies in the field. A clear explanatory style and a single expository voice characterize all chapters, making core issues in economics, psychology, and neuroscience accessible to scholars from all disciplines. The volume is essential reading for anyone interested in neuroeconomics in particular or decision making in general. - Editors and contributing authors are among the acknowledged experts and founders in the field, making this the authoritative reference for neuroeconomics - Suitable as an advanced undergraduate or graduate textbook as well as a thorough reference for active researchers - Introductory chapters on economics, psychology, neuroscience, and anthropology provide students and scholars from any discipline with the keys to understanding this interdisciplinary field - Detailed chapters on subjects that include reinforcement learning, risk, inter-temporal choice, drift-diffusion models, game theory, and prospect theory make this an invaluable reference - Published in association with the Society for Neuroeconomics—www.neuroeconomics.org - Full-color presentation throughout with numerous carefully selected illustrations to highlight key concepts
Author: Cheng Few Lee
Publisher: World Scientific
ISBN: 9811202400
Category : Business & Economics
Languages : en
Pages : 5053
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Book Description
This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.
Author: Ben R. Newell
Publisher: Psychology Press
ISBN: 1000588238
Category : Psychology
Languages : en
Pages : 360
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Book Description
Straight Choices provides a fascinating introduction to the psychology of decision making, enhanced by discussion of relevant examples of decision problems faced in everyday life. Thoroughly revised and updated throughout, this edition provides an integrative account of the psychology of decision-making and shows how psychological research can help us understand our uncertain world. The book emphasizes the relationship between learning and decision-making, arguing that the best way to understand how and why decisions are made is in the context of the learning and knowledge acquisition which precedes them, and the feedback which follows. The mechanisms of learning and the structure of environments in which decisions are made are carefully examined to explore their impact on our choices. The authors then consider whether we are all constrained to fall prey to cognitive biases, or whether, with sufficient exposure, we can find optimal decision strategies and improve our decision making. This edition highlights advances made in judgment and decision making research, with additional coverage of behavioral insights, nudging, artificial intelligence, and explanation-based decision making. Written in a non-technical manner, this book is an essential read for all students and researchers in cognitive psychology, behavioral economics, and the decision sciences, as well as anyone interested in the nature of decision making.
Author: Jonathan Baron
Publisher: Cambridge University Press
ISBN: 9780521659727
Category : Education
Languages : en
Pages : 588
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Book Description
Thinking and Deciding has established itself as a required text and important reference work for students and scholars of human cognition and rationality. In this, the third edition, Jonathan Baron delves further into many of the key questions addressed in the previous editions. For example, how should we think? What, if anything, keeps us from thinking that way? How can we improve our thinking and decision making? Baron has also revised or expanded his treatment of topics such as risk, utilitarianism, Baye's theorem, moral thinking, trust, utility measurement, and decision analysis and values. By emphasizing decision making, Baron has made Thinking and Deciding, Third Edition more relevant to researchers in applied fields, such as medicine, business, public policy, and law, while maintaining its appeal to graduate and undergraduate students.
