Twenty years of linear programming based portfolio optimization

R Mansini, W Ogryczak, MG Speranza - European Journal of Operational …, 2014 - Elsevier
Markowitz formulated the portfolio optimization problem through two criteria: the expected
return and the risk, as a measure of the variability of the return. The classical Markowitz …

Suitable-portfolio investors, nondominated frontier sensitivity, and the effect of multiple objectives on standard portfolio selection

RE Steuer, Y Qi, M Hirschberger - Annals of Operations Research, 2007 - Springer
In standard portfolio theory, an investor is typically taken as having one stochastic objective,
to maximize the random variable of portfolio return. But in this paper, we focus on investors …

Conditional value at risk and related linear programming models for portfolio optimization

R Mansini, W Ogryczak, MG Speranza - Annals of operations research, 2007 - Springer
Many risk measures have been recently introduced which (for discrete random variables)
result in Linear Programs (LP). While some LP computable risk measures may be viewed as …

[图书][B] Linear and mixed integer programming for portfolio optimization

Portfolio theory was first developed by Harry Markowitz in the 1950s. His work, which was
extended by several researchers, provides the foundation of the so-called modern portfolio …

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 …

Worst-case robust Omega ratio

M Kapsos, N Christofides, B Rustem - European Journal of Operational …, 2014 - Elsevier
The Omega ratio is a recent performance measure proposed to overcome the known
shortcomings of the Sharpe ratio. Until recently, the Omega ratio was thought to be …

Omega-CVaR portfolio optimization and its worst case analysis

A Sharma, S Utz, A Mehra - OR spectrum, 2017 - Springer
This paper presents a novel framework for optimizing portfolios using distribution dependent
thresholds in Omega ratio to control the downside risk. Portfolios resulting from the …

Enhanced index tracking with CVaR-based ratio measures

G Guastaroba, R Mansini, W Ogryczak… - Annals of Operations …, 2020 - Springer
The enhanced index tracking problem (EITP) calls for the determination of an optimal
portfolio of assets with the bi-objective of maximizing the excess return of the portfolio above …

Global optimization for bilevel portfolio design: Economic insights from the Dow Jones index

J González-Díaz, B González-Rodríguez, M Leal… - Omega, 2021 - Elsevier
This paper deals with a portfolio selection problem with transaction costs and two levels of
decision-making. It is assumed that the decision making structure is twofold: there is a broker …

Worst-case analysis of Omega-VaR ratio optimization model

R Sehgal, A Sharma, R Mansini - Omega, 2023 - Elsevier
The Omega ratio, a performance measure that separately considers upside and downside
deviations from a fixed threshold, improves the Sharpe ratio by incorporating the higher …