Work

Solving Portfolio Optimization Problem for Long-term Stocks Investment using Ant Colony Optimization

Year: 2024

Type: conference-paper

Abstract: This paper investigates the application of data science techniques to address the critical challenge of retirement planning for Thai elders through long-term investment in SET50 stocks. With Thailand's rapidly aging population and rising healthcare costs, ensuring financial security during retirement is of paramount importance. Traditional fixed-income investments often struggle to keep pace with inflation, making the stock market a potentially attractive option for generating higher returns. However, navigating the complexities of the stock market can be daunting for retirees, especially those with limited financial expertise. This study proposes a data-driven approach using Ant Colony Optimization to optimize long-term investment portfolios for Thai elders within the SET50 index. This work also shows the cross validation among other optimization technique (Genetic Algorithm).

Source: International Conference on Intelligent Information Technology (ICIIT)

DOI: 10.1145/3654522.3654587

Authors: Chiranun Kamolsin, Porawat Visutsak

Institutions: Chaopraya University, King Mongkut's University of Technology North Bangkok

Language: English

Topic: Risk and Portfolio Optimization

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: hybrid

OpenAlex ID: W4401009974

FWCI: 2.127

Cites: 9

Cited by: 4

Related to: 10