Multi-objective heuristic algorithms for practical portfolio optimization and rebalancing with transaction cost

SS Meghwani, M Thakur - Applied Soft Computing, 2018 - Elsevier
Portfolio optimization is the process of allocating capital among a universe of assets to
achieve better risk–return trade-off. Due to the dynamic nature of financial markets, the …

Efficient solutions for vector optimization problem on an extended interval vector space and its application to portfolio optimization

BRB Sahu, AK Bhurjee, P Kumar - Expert Systems with Applications, 2024 - Elsevier
In this paper, a generalized interval vector space is investigated and defined as an ordered
relation in the form of a bijective linear transformation of its onto a real vector space. The …

An efficient solution of nonlinear enhanced interval optimization problems and its application to portfolio optimization

P Kumar, AK Bhurjee - Soft Computing, 2021 - Springer
A general optimization problem whose parameters and decision variables are intervals, is
known as an enhanced interval optimization problem. This article has focused on nonlinear …

A multiobjective interval portfolio framework for supporting investor's preferences under different risk assumptions

CO Henriques, MED Neves - Journal of the Operational Research …, 2019 - Taylor & Francis
This paper is aimed at presenting a multiobjective interval portfolio framework which
considers investment decisions under different risk assumptions. New surrogate problems …

Solving mean-VaR portfolio selection model with interval-typed random parameter using interval analysis

P Kumar, J Behera, AK Bhurjee - Opsearch, 2022 - Springer
Portfolio optimization encompasses the optimal assignment of limited capital to different
available financial assets to achieve a reasonable trade-off between profit and risk. This …

Portfolio Rebalancing Model Utilizing Support Vector Machine for Optimal Asset Allocation

BRB Sahu, P Kumar - Arabian Journal for Science and Engineering, 2024 - Springer
Achieving an optimal asset allocation strategy is critical for investors aiming to maximize
returns while managing risk in a dynamic financial market. This research presents a portfolio …

Portfolio rebalancing under uncertainty using meta-heuristic algorithm

M Zandieh, SO Mohaddesi - International Journal of …, 2019 - inderscienceonline.com
In this paper, we solve portfolio rebalancing problem when security returns are represented
by uncertain variables considering transaction costs. The performance of the proposed …

Multi-objective portfolio selection problem using admissible order vector space

P Kumar, B Rani BS, AK Bhurjee - AIP Conference Proceedings, 2022 - pubs.aip.org
In this paper, multiobjective optimization problem is considered in which parameters of
objective functions (expected return, risk, skewness, kurtosis, and entropy) are estimated as …

Multiobjective efficient portfolio selection with bounded parameters

P Kumar, G Panda, UC Gupta - Arabian Journal for Science and …, 2018 - Springer
In this paper, a multiobjective portfolio selection model is studied, wherein all parameters
like return, risk, etc., as well as decision variables are varying in intervals. A methodology is …

Exploring the trade-off between liquidity, risk and return under sectoral diversification across distinct economic settings

C Henriques, E Neves - The Journal of Risk Finance, 2021 - emerald.com
Purpose This paper aims to explore the trade-off between liquidity, risk and return under
sectoral diversification across distinct economic settings and investment strategies …