A survey on gaps between mean-variance approach and exponential growth rate approach for portfolio optimization

ZR Lai, H Yang - ACM Computing Surveys (CSUR), 2022 - dl.acm.org
Portfolio optimization can be roughly categorized as the mean-variance approach and the
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

E Mokaramian, H Shayeghi, F Sedaghati… - Journal of Energy …, 2021 - Elsevier
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 …

Quasi second-order stochastic dominance model for balancing wildfire risks and power outages due to proactive public safety de-energizations

J Su, S Mehrani, P Dehghanian… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Faults on overhead power line infrastructures in electric power distribution systems (DSs)
can potentially ignite catastrophic wildfires, especially in areas exposed to high wind …

Portfolio choice based on third-degree stochastic dominance

T Post, M Kopa - Management Science, 2017 - pubsonline.informs.org
We develop an optimization method for constructing investment portfolios that dominate a
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

G Guastaroba, R Mansini, W Ogryczak… - European Journal of …, 2016 - Elsevier
Modern performance measures differ from the classical ones since they assess the
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 …

On exact and approximate stochastic dominance strategies for portfolio selection

R Bruni, F Cesarone, A Scozzari, F Tardella - European Journal of …, 2017 - Elsevier
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 …

A heuristic framework for the bi-objective enhanced index tracking problem

C Filippi, G Guastaroba, MG Speranza - Omega, 2016 - Elsevier
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 …

Portfolio optimization based on stochastic dominance and empirical likelihood

T Post, S Karabatı, S Arvanitis - Journal of Econometrics, 2018 - Elsevier
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 …

[HTML][HTML] Real-world datasets for portfolio selection and solutions of some stochastic dominance portfolio models

R Bruni, F Cesarone, A Scozzari, F Tardella - Data in brief, 2016 - Elsevier
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 …