Bibliometric analysis of information theoretic studies

WH Lam, WS Lam, SH Jaaman, PF Lee - Entropy, 2022 - mdpi.com
Statistical information theory is a method for quantifying the amount of stochastic uncertainty
in a system. This theory originated in communication theory. The application of information …

Portfolio selection of power generation projects considering the synergy of project and uncertainty of decision information

Y Tao, X Luo, Y Wu, L Zhang, Y Liu, C Xu - Computers & Industrial …, 2023 - Elsevier
Specifying which projects to be invested in under constraints can improve the investment
efficiency of enterprise. The article studies on portfolio selection of power generation …

Testing of Portfolio Optimization by Timor-Leste Portfolio Investment Strategy on the Stock Market

F Anuno, M Madaleno, E Vieira - Journal of Risk and Financial …, 2024 - mdpi.com
An efficient and effective portfolio provides maximum return potential with minimum risk by
choosing an optimal balance among assets. Therefore, the objective of this study is to …

Semi-metric portfolio optimization: A new algorithm reducing simultaneous asset shocks

N James, M Menzies, J Chan - Econometrics, 2023 - mdpi.com
This paper proposes a new method for financial portfolio optimization based on reducing
simultaneous asset shocks across a collection of assets. This may be understood as an …

Credibilistic Multi-Period Mean-Entropy Rolling Portfolio Optimization Problem Based on Multi-Stage Scenario Tree

P Peykani, M Nouri, MS Pishvaee, C Oprean-Stan… - Mathematics, 2023 - mdpi.com
This study considers a time-consistent multi-period rolling portfolio optimization issue in the
context of a fuzzy situation. Rolling optimization with a risk aversion component attempts to …

The analysis of diversification properties of stablecoins through the Shannon entropy measure

MBA Sinon, JC Mba - Knowledge and Information Systems, 2024 - Springer
The common goal for investors is to minimise the risk and maximise the returns on their
investments. This is often achieved through diversification, where investors spread their …

Stock Portfolio Optimization Using Mean-Variance and Mean Absolute Deviation Model Based On K-Medoids Clustering by Dynamic Time Warping

M Anugrahayu, U Azmi - Jurnal Matematika, Statistika dan …, 2023 - journal.unhas.ac.id
The tendency of investors to choose investments with maximum return and minimal risk
causes the need for diversification in a portfolio to form an optimal portfolio. A lot of research …

Portfolio diversification with varying investor abilities

N James, M Menzies - Europhysics Letters, 2024 - iopscience.iop.org
We introduce new mathematical methods to study the optimal portfolio size of investment
portfolios over time, considering investors with varying skill levels. First, we explore the …

Detecting imbalanced financial markets through time-varying optimization and nonlinear functionals

N James, M Menzies - arXiv preprint arXiv:2412.00468, 2024 - arxiv.org
This paper studies the time-varying structure of the equity market with respect to market
capitalization. First, we analyze the distribution of the 100 largest companies' market …

The Possibilistic Mean-Variance Model with Uncertain Possibility Distributions

F Göktaş - Journal of Mehmet Akif Ersoy University Economics …, 2024 - dergipark.org.tr
The possibilistic mean–variance (MV) model is the counterpart of Markowitz's MV model in
the possibility theory. This study aims to examine the possibilistic MV model when the …