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-of-sample predictability. To accurately predict risk, we develop Geometric Dispersion Theory (GDT), which is based on two asymmetric simple …Out-of-sample prediction is the ultimate validity test of risk models for which theoretical appeal and justifications … are irrelevant to the prediction results. Empirically, we show that all prominent risk models including Cumulative …
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A hypothesis of uncertain future was created and first applied in the field of utility and prospect theories. An extension of application of the hypothesis to the field of forecasting is considered in the article. The concept of inevitability of unforeseen events is a part of the hypothesis of...
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Women are stereotyped as more risk averse than men. Empirical and experimental investigations seem to support the … tries to integrate gender aspects into five main models from decision theory. We can show that according to the model …
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We present the first calibration of quantum decision theory (QDT) to an empirical data set. The data comprise 91 …) the utility factor with a stochastic version of cumulative prospect theory (logit-CPT), and (b) the attraction factor with … a constant absolute risk aversion (CARA) function. This makes logit-CPT nested in our proposed parameterisation of QDT …
Persistent link: https://www.econbiz.de/10011516615
We investigate various statistical methods for forecasting risky choices and identify important decision predictors. Subjects (n=44) are presented a series of 50/50 gambles that each involves a potential gain and a potential loss, and subjects can choose to either accept or reject a displayed...
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