Hybrid Methodology Of Panel Data Analysis Used On Borsa Istanbul Stocks
8 th International Conference on Advances in Statistics, Gazimagusa, Cyprus (Kktc), 16 - 18 May 2022, (Unpublished)
- Publication Type: Conference Paper / Unpublished
- City: Gazimagusa
- Country: Cyprus (Kktc)
- Eskisehir Osmangazi University Affiliated: Yes
Abstract
We used a hybrid methodology of linear regression on panel data and panel data clustering on
stocks of Borsa Istanbul. Our aim was to check the efficiency of the panel data clustering in
terms of linear regression used on panel data. Providing convincing results from this study
would yield the necessary groundwork to forecast the stock movements based on panel data
clustering. In our understanding, the base model necessary for forecasting stock movements is
the one linked to the one we provide results from. Our model we develop in this study is
Platonic in the sense that it describes the general principle of the stock movements. The
results we obtained from our model demonstrated the effectiveness of the methodology as it
provided high predictivity of stock movements up to %94.