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Twenty years of linear programming based portfolio optimization
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 …
return and the risk, as a measure of the variability of the return. The classical Markowitz …
[ΒΙΒΛΙΟ][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 …
extended by several researchers, provides the foundation of the so-called modern portfolio …
Dimension reduction in mean-variance portfolio optimization
Dimension reduction methods are useful pre-processing tools for efficient quantitative
analysis with the aim to preserve the main features of the multidimensional data. However …
analysis with the aim to preserve the main features of the multidimensional data. However …
A penalty decomposition algorithm for the extended mean–variance–CVaR portfolio optimization problem
In this paper, we study mean–variance–Conditional Value-at-Risk (CVaR) portfolio
optimization problem with short selling, cardinality constraint and transaction costs. To tackle …
optimization problem with short selling, cardinality constraint and transaction costs. To tackle …
Portfolio optimisation: bridging the gap between theory and practice
CA Valle - Computers & Operations Research, 2025 - Elsevier
Portfolio optimisation is essential in quantitative investing, but its implementation faces
several practical difficulties. One particular challenge is converting optimal portfolio weights …
several practical difficulties. One particular challenge is converting optimal portfolio weights …
Portfolio optimization and transaction costs
Transaction costs represent one of the most relevant real features that must be taken into
account while optimizing a portfolio. All market participants are concerned with transaction …
account while optimizing a portfolio. All market participants are concerned with transaction …
Multi-intervals robust mean-conditional value-at-risk portfolio optimisation with conditional scenario reduction technique
In this paper, we study mean-conditional value at risk (mean-CVaR) portfolio optimisation
with cardinality constraints and short selling under uncertainty. To reduce the level of …
with cardinality constraints and short selling under uncertainty. To reduce the level of …
Linear models for portfolio optimization
Abstract Nowadays, Quadratic Programming (QP) models, like Markowitz model, are not
hard to solve, thanks to technological and algorithmic progress. Nevertheless, Linear …
hard to solve, thanks to technological and algorithmic progress. Nevertheless, Linear …
Portfolio optimization with other real features
Real features are all the additional characteristics an investor is interested to consider when
selecting a real portfolio, because they reflect preferences or information not captured by the …
selecting a real portfolio, because they reflect preferences or information not captured by the …
Employees Provident Fund (EPF) Malaysia: Generic models for asset and liability management under uncertainty
SA Sheikh Hussin - 2012 - bura.brunel.ac.uk
We describe Employees Provident Funds (EPF) Malaysia. We explain about Defined
Contribution and Defined Benefit Pension Funds and examine their similarities and …
Contribution and Defined Benefit Pension Funds and examine their similarities and …