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Portfolio Choice Under Cumulative Prospect Theory: An Analytical Treatment
by
He, Xue Dong
, Zhou, Xun Yu
in
Applied sciences
/ cumulative prospect theory
/ Decision making models
/ Decision models
/ Decision theory. Utility theory
/ Entscheidung unter Unsicherheit
/ Exact sciences and technology
/ Financial portfolios
/ Function
/ Investment analysis
/ Investors
/ Loss
/ Loss aversion
/ Management science
/ Modeling
/ Operational research and scientific management
/ Operational research. Management science
/ Pay-off
/ Portfolio analysis
/ portfolio choice
/ Portfolio management
/ Portfolio selection
/ Portfolio theory
/ Portfolios
/ Probability
/ probability weighting
/ Prospect Theory
/ Präferenztheorie
/ Rates of return
/ reference point
/ Risikoaversion
/ Risk aversion
/ S-shaped utility function
/ single period
/ Studies
/ Term weighting
/ Utility functions
/ Wealth
/ Weighting
/ Weighting functions
/ well-posedness
2011
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Portfolio Choice Under Cumulative Prospect Theory: An Analytical Treatment
by
He, Xue Dong
, Zhou, Xun Yu
in
Applied sciences
/ cumulative prospect theory
/ Decision making models
/ Decision models
/ Decision theory. Utility theory
/ Entscheidung unter Unsicherheit
/ Exact sciences and technology
/ Financial portfolios
/ Function
/ Investment analysis
/ Investors
/ Loss
/ Loss aversion
/ Management science
/ Modeling
/ Operational research and scientific management
/ Operational research. Management science
/ Pay-off
/ Portfolio analysis
/ portfolio choice
/ Portfolio management
/ Portfolio selection
/ Portfolio theory
/ Portfolios
/ Probability
/ probability weighting
/ Prospect Theory
/ Präferenztheorie
/ Rates of return
/ reference point
/ Risikoaversion
/ Risk aversion
/ S-shaped utility function
/ single period
/ Studies
/ Term weighting
/ Utility functions
/ Wealth
/ Weighting
/ Weighting functions
/ well-posedness
2011
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Do you wish to request the book?
Portfolio Choice Under Cumulative Prospect Theory: An Analytical Treatment
by
He, Xue Dong
, Zhou, Xun Yu
in
Applied sciences
/ cumulative prospect theory
/ Decision making models
/ Decision models
/ Decision theory. Utility theory
/ Entscheidung unter Unsicherheit
/ Exact sciences and technology
/ Financial portfolios
/ Function
/ Investment analysis
/ Investors
/ Loss
/ Loss aversion
/ Management science
/ Modeling
/ Operational research and scientific management
/ Operational research. Management science
/ Pay-off
/ Portfolio analysis
/ portfolio choice
/ Portfolio management
/ Portfolio selection
/ Portfolio theory
/ Portfolios
/ Probability
/ probability weighting
/ Prospect Theory
/ Präferenztheorie
/ Rates of return
/ reference point
/ Risikoaversion
/ Risk aversion
/ S-shaped utility function
/ single period
/ Studies
/ Term weighting
/ Utility functions
/ Wealth
/ Weighting
/ Weighting functions
/ well-posedness
2011
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Portfolio Choice Under Cumulative Prospect Theory: An Analytical Treatment
Journal Article
Portfolio Choice Under Cumulative Prospect Theory: An Analytical Treatment
2011
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Overview
We formulate and carry out an analytical treatment of a single-period portfolio choice model featuring a reference point in wealth, S-shaped utility (value) functions with loss aversion, and probability weighting under Kahneman and Tversky's
cumulative prospect theory
(CPT). We introduce a new measure of loss aversion for large payoffs, called the
large-loss aversion degree
(LLAD), and show that it is a critical determinant of the well-posedness of the model. The sensitivity of the CPT value function with respect to the stock allocation is then investigated, which, as a by-product, demonstrates that this function is neither concave nor convex. We finally derive optimal solutions explicitly for the cases in which the reference point is the risk-free return and those in which it is not (while the utility function is piecewise linear), and we employ these results to investigate comparative statics of optimal risky exposures with respect to the reference point, the LLAD, and the curvature of the probability weighting.
This paper was accepted by Wei Xiong, finance.
Publisher
INFORMS,Institute for Operations Research and the Management Sciences
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