Bibliometric analysis of information theoretic studies
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 …
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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 …
causes the need for diversification in a portfolio to form an optimal portfolio. A lot of research …
Portfolio diversification with varying investor abilities
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 …
portfolios over time, considering investors with varying skill levels. First, we explore the …
Detecting imbalanced financial markets through time-varying optimization and nonlinear functionals
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 …
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 …
the possibility theory. This study aims to examine the possibilistic MV model when the …