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Modeling information demand in the framework of probabilistic reasoning. [PDF]
Jiwa MW, Gottlieb J.
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On the Shape of the Probability Weighting Function
Cognitive Psychology, 1999Empirical studies have shown that decision makers do not usually treat probabilities linearly. Instead, people tend to overweight small probabilities and underweight large probabilities. One way to model such distortions in decision making under risk is through a probability weighting function.
R, Gonzalez, G, Wu
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Lottery Decisions and Probability Weighting Function
Journal of Risk and Uncertainty, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alarie, Yves, Dionne, Georges
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Alternative Probability Weighting Functions in Behavioral Portfolio Selection
2022We propose some portfolio selection models based on Cumulative Prospect Theory. In particular, we consider alternative probability weighting functions in order to model probability distortion. The resulting mathematical programming problem turns out to be highly non-linear and non-differentiable.
Diana Barro +2 more
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The Probability Weighting Function
Econometrica, 1998Summary: A probability weighting function \(w(p)\) is a prominent feature of several non-expected utility theories, including prospect theory and rank-dependent models. Empirical estimates indicate that \(w(p)\) is regressive (first \(w(p)>p\), then \(w(p)
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Probability Weighting Functions Implied in Options Prices
SSRN Electronic Journal, 2012The empirical pricing kernels estimated from index options are non-monotone (Rosenberg and Engle, 2002; Bakshi, Madan, and Panayotov, 2010) and the corresponding risk aversion functions can be negative (Ait-Sahalia and Lo, 2000; and Jackwerth, 2000).
Valery Polkovnichenko, Feng Zhao
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How Categorization Shapes the Probability Weighting Function
SSRN Electronic Journal, 2021The tendency to overweight low probability events and underweight high probability events stems from the categorical distinction between ``not happening,'' ``a chance,'' and ``happening.'' We demonstrate that there exist multiple intermediary categories within the probability space that produce additional inflection points. Across preregistered studies,
Dan Schley +3 more
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