Journal of Yaşar University

Journal of Yaşar University

Forecasting Turkish Stock Market Price With Macroeconomic Variables From The Multivariate Adaptive Regression Splines (Mars) Model

Yazarlar: Buğra BAĞCI, Ferhat ÇITAK

Cilt 15 , Sayı 60 , 2020 , Sayfalar 759 - 771

Konular:Sosyal

DOI:10.19168/jyasar.743931

Anahtar Kelimeler:Multivariate Adaptive Regression Splines (MARS) Model,XU 100,Macroeconomic Variables

Özet: This empirical investigation aims at forecasting the macroeconomic determinants of Istanbul Stock Price (XU 100) in Turkey by using the Multivariate Adaptive Regression Splines (MARS) Model over the period spanning from the January 2010 to December 2019. In this study, we used 10 macroeconomic variables for forecasting stock price using the MARS model. Our results indicate that variables such as inflation rate, gold prices, industrial production index, money supply, exchange rate, credit volume, and internal debt stock were found to be important for forecasting XU100 price.

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@article{2020, title={Forecasting Turkish Stock Market Price With Macroeconomic Variables From The Multivariate Adaptive Regression Splines (Mars) Model}, volume={15}, number={759–771}, publisher={Journal of Yaşar University}, author={Buğra BAĞCI,Ferhat ÇITAK}, year={2020} }
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Buğra BAĞCI,Ferhat ÇITAK. (2020). Forecasting Turkish Stock Market Price With Macroeconomic Variables From The Multivariate Adaptive Regression Splines (Mars) Model (Vol. 15). Vol. 15. Journal of Yaşar University.
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Buğra BAĞCI,Ferhat ÇITAK. Forecasting Turkish Stock Market Price With Macroeconomic Variables From The Multivariate Adaptive Regression Splines (Mars) Model. no. 759–771, Journal of Yaşar University, 2020.
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