Adaptive large-scale group interactive portfolio optimization approach based on social network with multi-clustering analysis and minimum adjustment

D Li, S Hu - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
The mean-variance (MV) model can help large companies identify portfolios that maximize
returns and minimize risk. By incorporating an expert's preferences into the solution process …

Adaptive consensus reaching process with dynamic weights and minimum adjustments for group interactive portfolio optimization

D Li, S Hu - Computers & Industrial Engineering, 2023 - Elsevier
The mean–variance model (MV) can help companies in an economic downturn identify
portfolios that increase revenue while reducing risk. However, the MV optimization model …

A collective portfolio selection approach for investment clubs

YM Li, LF Lin, MC Hung - Information & Management, 2024 - Elsevier
Recently, with the popularity of social investing platforms, participating in an investment club
has become a good choice for investors. Following financial experts in the investment club …

Development of an efficient cluster-based portfolio optimization model under realistic market conditions

M Massahi, M Mahootchi, A Arshadi Khamseh - Empirical Economics, 2020 - Springer
Modern portfolio theory introduced by Markowitz in 1952 is the most popular portfolio
optimization framework established based on the trade-off between risk and return as an …

[PDF][PDF] Large-scale group decision making using uncertain optimization models in the social network analysis

A Mardani, RF Saen, W Wei, M Song - Expert Systems, 2021 - researchgate.net
Social network analysis (SNA) examines the relationships between different social networks,
such as enterprises, nations, and group members. SNA can create a relationship between …

Dynamic portfolio optimization using technical analysis‐based clustering

AZ Khan, MK Mehlawat - International Journal of Intelligent …, 2022 - Wiley Online Library
An accurate prediction of asset prices is perhaps the biggest challenge of any study in
portfolio optimization. Asset prices are affected by several random and nonrandom factors …

A parallel approach with the strategy-proof mechanism for large-scale group decision making: An application in industrial internet

H Tong, J Zhu - European Journal of Operational Research, 2023 - Elsevier
The consensus-reaching process (CRP) is essential for forming a solution in large-scale
group decision-making (LSGDM). We designed a parallel method with a strategy-proof …

[HTML][HTML] Application of Ensemble learning for views generation in Meucci Portfolio Optimization Framework

D Alexander, D Svetlana - Review of Business and Economics …, 2013 - cyberleninka.ru
Modern Portfolio Theory assumes that decisions are made by individual agents. In reality
most investors are involved in group decision-making. In this research we propose to realize …

A GGA-based algorithm for group trading strategy portfolio optimization

CH Chen, YH Chen, ME Wu - Proceedings of the 4th Multidisciplinary …, 2017 - dl.acm.org
To have more flexible trading strategy portfolio, in this paper, we define a group trading
strategy portfolio and then propose an approach to optimize it using the grouping genetic …

Using genetic algorithm to support clustering-based portfolio optimization by investor information

D Cheong, YM Kim, HW Byun, KJ Oh, TY Kim - Applied Soft Computing, 2017 - Elsevier
A clustering-based portfolio optimization scheme that employs a genetic algorithm (GA)
based on investor information for active portfolio management is presented. Whereas …