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A survey on gaps between mean-variance approach and exponential growth rate approach for portfolio optimization
Portfolio optimization can be roughly categorized as the mean-variance approach and the
exponential growth rate approach based on different theoretical foundations, trading logics …
exponential growth rate approach based on different theoretical foundations, trading logics …
Four-objective optimal scheduling of energy hub using a novel energy storage, considering reliability and risk indices
Energy hub as a novel model which has provided more efficiency, flexibility, and reliability.
Also, due to using different multi carriers as renewable and non-renewable sources and …
Also, due to using different multi carriers as renewable and non-renewable sources and …
Quasi second-order stochastic dominance model for balancing wildfire risks and power outages due to proactive public safety de-energizations
Faults on overhead power line infrastructures in electric power distribution systems (DSs)
can potentially ignite catastrophic wildfires, especially in areas exposed to high wind …
can potentially ignite catastrophic wildfires, especially in areas exposed to high wind …
Portfolio choice based on third-degree stochastic dominance
We develop an optimization method for constructing investment portfolios that dominate a
given benchmark portfolio in terms of third-degree stochastic dominance. Our approach …
given benchmark portfolio in terms of third-degree stochastic dominance. Our approach …
Linear programming models based on omega ratio for the enhanced index tracking problem
Modern performance measures differ from the classical ones since they assess the
performance against a benchmark and usually account for asymmetry in return distributions …
performance against a benchmark and usually account for asymmetry in return distributions …
Neurodynamics-driven portfolio optimization with targeted performance criteria
J Wang, X Gan - Neural Networks, 2023 - Elsevier
This paper addresses portfolio selection with targeted performance criteria via
neurodynamic optimization. Five portfolio optimization problems are formulated with a …
neurodynamic optimization. Five portfolio optimization problems are formulated with a …
On exact and approximate stochastic dominance strategies for portfolio selection
One recent and promising strategy for Enhanced Indexation is the selection of portfolios that
stochastically dominate the benchmark. We propose here a new type of approximate …
stochastically dominate the benchmark. We propose here a new type of approximate …
A heuristic framework for the bi-objective enhanced index tracking problem
The index tracking problem is the problem of determining a portfolio of assets whose
performance replicates, as closely as possible, that of a financial market index chosen as …
performance replicates, as closely as possible, that of a financial market index chosen as …
Portfolio optimization based on stochastic dominance and empirical likelihood
This study develops a portfolio optimization method based on the Stochastic Dominance
(SD) decision criterion and the Empirical Likelihood (EL) estimation method. SD and EL …
(SD) decision criterion and the Empirical Likelihood (EL) estimation method. SD and EL …
[HTML][HTML] Real-world datasets for portfolio selection and solutions of some stochastic dominance portfolio models
A large number of portfolio selection models have appeared in the literature since the
pioneering work of Markowitz. However, even when computational and empirical results are …
pioneering work of Markowitz. However, even when computational and empirical results are …