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Research Article

The Relationship Between the Exchange Rate and the General Index of the Istanbul Stock Exchange (BIST100) by Machine Learning Application

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  • @ARTICLE{10.4108/eetismla.12521,
        author={Adil R N  and Abdul Razzaq H H },
        title={The Relationship Between the Exchange Rate and the General Index of the Istanbul Stock Exchange (BIST100) by Machine Learning Application},
        journal={EAI Endorsed Transactions on Intelligent Systems and Machine Learning Applications},
        volume={3},
        number={1},
        publisher={EAI},
        journal_a={ISMLA},
        year={2026},
        month={4},
        keywords={machine learning, exchange rate, market indices, Instanbul Stock Exchange, Turkish lira, (BIST100)},
        doi={10.4108/eetismla.12521}
    }
    
  • Adil R N
    Abdul Razzaq H H
    Year: 2026
    The Relationship Between the Exchange Rate and the General Index of the Istanbul Stock Exchange (BIST100) by Machine Learning Application
    ISMLA
    EAI
    DOI: 10.4108/eetismla.12521
Adil R N 1,*, Abdul Razzaq H H 1
  • 1: جامعة تكريت
*Contact email: adil.r.nassif@tu.edu.iq

Abstract

The purpose of this research is to understand the type of relationship between the exchange rate for the period (2020-2022) and the Istanbul Stock Exchange index by using machine learning application. This research stems from the assumption that exchange rate fluctuations directly affect the overall market indicator. The interval model of self-regression distribution is used in general market indicators, and the GRANGER test was used to demonstrate the cause-effect relationship among economic variables. Turning to the market index, the study concluded that the exchange rate explains the changes in the general market index (best 100) (97%) and (3%) for variables other than the standard model, and there is a long-term joint integration relationship between the research variables, the result is that the exchange rate explains the changes in the general market index (best 100) (97%) and (3%) for variables other than the standard model.

Keywords
machine learning, exchange rate, market indices, Instanbul Stock Exchange, Turkish lira, (BIST100)
Received
2023-05-08
Accepted
2026-03-26
Published
2026-04-10
Publisher
EAI
http://dx.doi.org/10.4108/eetismla.12521

Copyright © 2026 Adil R N et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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