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Affective Decision Making Under Unce...
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Brown, Donald J.
Affective Decision Making Under Uncertainty = Risk, Ambiguity and Black Swans /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Affective Decision Making Under Uncertainty/ by Donald J. Brown.
其他題名:
Risk, Ambiguity and Black Swans /
作者:
Brown, Donald J.
面頁冊數:
XIII, 81 p. 7 illus., 6 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Economic Theory/Quantitative Economics/Mathematical Methods. -
電子資源:
https://doi.org/10.1007/978-3-030-59512-8
ISBN:
9783030595128
Affective Decision Making Under Uncertainty = Risk, Ambiguity and Black Swans /
Brown, Donald J.
Affective Decision Making Under Uncertainty
Risk, Ambiguity and Black Swans /[electronic resource] :by Donald J. Brown. - 1st ed. 2020. - XIII, 81 p. 7 illus., 6 illus. in color.online resource. - Lecture Notes in Economics and Mathematical Systems,6910075-8442 ;. - Lecture Notes in Economics and Mathematical Systems,679.
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.
ISBN: 9783030595128
Standard No.: 10.1007/978-3-030-59512-8doiSubjects--Topical Terms:
1069071
Economic Theory/Quantitative Economics/Mathematical Methods.
LC Class. No.: HB71-74
Dewey Class. No.: 330.01
Affective Decision Making Under Uncertainty = Risk, Ambiguity and Black Swans /
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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.
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