Optimizing investment strategies: Harnessing the power of K-line complex networks

The K-line is one of the most widely recognized technical indicators, garnering significant attention from investors and serving as a prevalent reference point for stock market investments. This paper provides an innovative investment strategy rooted in a complex network that is shaped by the correlations among K-lines. Its monthly return reaches an impressive 5.4 % for constituents of CSI 300 index (one of the most popular China Securities Indexes), significantly outperforming the market. The analysis also reveals i) utilizing the K-lines network, a portfolio tracking the market can be effectively assembled with ten to twenty selected stocks and ii) portfolios constructed from low-centrality nodes surpass those constructed from high-centrality nodes. This paper provides a good solution to the costly management of portfolio construction.

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Publication Details

Journal
International Review of Economics & Finance
Published
2025-03-14
DOI
https://doi.org/10.1016/j.iref.2025.104024
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimizing investment strategies: Harnessing the power of K-line complex networks

Xianhua Mi, Qiujun Lan, Chunyu Zhang, Haojie Li
International Review of Economics & Finance
Complex Systems and Time Series Analysis
article

Optimizing investment strategies: Harnessing the power of K-line complex networks

Xianhua Mi, Qiujun Lan, Chunyu Zhang, Haojie Li
article en

Abstract

The K-line is one of the most widely recognized technical indicators, garnering significant attention from investors and serving as a prevalent reference point for stock market investments. This paper provides an innovative investment strategy rooted in a complex network that is shaped by the correlations among K-lines. Its monthly return reaches an impressive 5.4 % for constituents of CSI 300 index (one of the most popular China Securities Indexes), significantly outperforming the market. The analysis also reveals i) utilizing the K-lines network, a portfolio tracking the market can be effectively assembled with ten to twenty selected stocks and ii) portfolios constructed from low-centrality nodes surpass those constructed from high-centrality nodes. This paper provides a good solution to the costly management of portfolio construction.

International Review of Economics & FinanceVol. 99
Hunan University (CN)
Openalex Percentile: Top 93%
Complex Systems and Time Series Analysis
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