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Affective Decision Making Under Uncertainty - Risk, Ambiguity and Black Swans (Paperback, 1st ed. 2020)
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Affective Decision Making Under Uncertainty - Risk, Ambiguity and Black Swans (Paperback, 1st ed. 2020)
Series: Lecture Notes in Economics and Mathematical Systems, 691
Expected to ship within 10 - 15 working days
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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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