The Relationship Between the Exchange Rate and the General Index of the Istanbul Stock Exchange (BIST100) by Machine Learning Application
DOI:
https://doi.org/10.4108/eetismla.12521Keywords:
machine learning, exchange rate, market indices, Instanbul Stock Exchange, Turkish lira, (BIST100)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.
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