ANALYSING MARKET DYNAMICS: REVEALING OBSCURED PATTERNS IN LQ45 STOCKS (2021-2023) USING WARD’S HIERARCHICAL CLUSTERING

ANALYSING MARKET DYNAMICS: REVEALING OBSCURED PATTERNS IN LQ45 STOCKS (2021-2023) USING WARD’S HIERARCHICAL CLUSTERING

This study aimed to address the instability of the Indonesian stock market from 2021 to 2023 by analyzing the LQ45 index, a critical indicator of economic robustness and corporate performance. Hierarchical Ward clustering was employed to categorize LQ45 stocks based on fundamental metrics such as Re...

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Bibliographic Details
Main Authors: Giovanny Theotista, Margareta Febe, Michael Sannova Ryan
Format: Article
Language:English
Published: Universitas Pattimura 2025-01-01
Series:Barekeng
Subjects:
hierarchical clustering
indonesian stock market
ward clustering
Online Access:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/13055
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