Results 11 to 20 of about 6,367 (240)
Almost marginal conditional stochastic dominance [PDF]
Marginal Conditional Stochastic Dominance (MCSD) developed by Shalit and Yitzhaki (1994) gives the conditions under which all risk-averse individuals prefer to increase the share of one risky asset over another in a given portfolio. In this paper, we extend this concept to provide conditions under which most (and not all) risk-averse investors behave ...
Michel M. Denuit +3 more
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Tests for Almost Stochastic Dominance
We introduce a 2-dimensional stochastic dominance (2DSD) index to characterize both strict and almost stochastic dominance. Based on this index, we derive an estimator for the minimum violation ratio (MVR), also known as the critical parameter, of the almost stochastic ordering condition between two variables.
Baíllo, Amparo +2 more
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Textbooks on financial management have emphasized the shortcomings of the payback criterion for decades. However, empirical evidence suggests that in actual capital budgeting procedures the payback method is used quite regularly. Mostly, it is implemented supplementary to net present value or internal rate of return, but small companies tend to rely on
Jahnke, Hermann, Simons, Dirk
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Probabilistic dual hesitant fuzzy sets (PDHFSs) are sound information granules to describe decision maker's aleatory and epistemic uncertainty in multiple criteria group decision making (MCGDM) process.
Qian Zhao, Yanbing Ju, Witold Pedrycz
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Price limits under incomplete preference information based on almost stochastic dominance
We derive price limits as decision aids for identifying favorable and unfavorable contracts from the perspective of a selling firm in face of uncertain outcomes.
Hermann Jahnke +2 more
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Life cycle versus balanced funds: An emerging market perspective
Background: Inadequate retirement savings is an international challenge. Additionally, individuals are not cognisant of how asset allocation choices ultimately impact retirement savings.
Elbie Louw +2 more
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Optimization with multivariate conditional value-at-risk constraints [PDF]
For many decision making problems under uncertainty, it is crucial to develop risk-averse models and specify the decision makers' risk preferences based on multiple stochastic performance measures (or criteria). Incorporating such multivariate preference
Noyan, Nilay, Rudolf, Gabor
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Precise synaptic efficacy alignment suggests potentiation dominated learning
Recent evidence suggests that parallel synapses from the same axonal branch onto the same dendritic branch have almost identical strength. It has been proposed that this alignment is only possible through learning rules that integrate activity over long ...
Christoph eHartmann +3 more
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Effects of primary productivity on beta diversity of ecological communities
Aim Several ecological factors are predicted to affect beta diversity - the dissimilarity of communities among localities or through time. Considering the effect of primary productivity, there is a divergence in the literature concerning if it is ...
Leticia Siman Bora +3 more
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RSD: An R package to calculate stochastic dominance
Stochastic dominance is a classical method for comparing two random variables using their probability distribution functions. As for all stochastic orders, stochastic dominance does not always establish an order between the random variables, and almost ...
Shayan Tohidi, Sigurdur Olafsson
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