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Investment analytics using association rule mining (Finassociations)

Elif Kartal et al.

International Journal of Computational Economics and Econometrics2026https://doi.org/10.1504/ijcee.2026.150997article
AJG 1ABDC C
Weight
0.50

What the paper says

This study aims to discover financial associations (relations) in (foreign) exchange rates, cryptocurrencies, and stocks using association rule mining (ARM). It demonstrates the applicability and success of ARM on alternative investment instruments over desired periods. A dynamic web application called 'Finassociations' was developed in this scope, allowing investors to use and discover ARM. They can use the desired filters to make investment decisions by generating rules for which investment instruments rise or fall together. The application dynamically retrieves current data from Yahoo Finance. This study is a dynamic and expanded update on the existing ones. The exemplary analyses utilised data spanning various periods, up to two years preceding October 9, 2022. According to the study results, significant and strong financial associations in three different investment groups can be obtained. Also, the results show that short-term financial data can be preferred over long-term financial data when examining associations between investment instruments.

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https://doi.org/https://doi.org/10.1504/ijcee.2026.150997

Or copy a formatted citation

@article{elif2026,
  title        = {{Investment analytics using association rule mining (Finassociations)}},
  author       = {Elif Kartal et al.},
  journal      = {International Journal of Computational Economics and Econometrics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijcee.2026.150997},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.