Price prediction of dual-listed stocks with RF and LSTM algorithms: NYSE and BIST comparison

Emine Nihan Cici Karaboğa; Gamze Şekeroğlu; Esra Kızıloğlu; Kazım Karaboğa; Ayse Merve Acılar

doi:10.53391/mmnsa.1577228

EN

Price prediction of dual-listed stocks with RF and LSTM algorithms: NYSE and BIST comparison

Abstract

Companies are looking for ways to access capital from developed markets instead of local markets to find financing. While some companies use debt instruments for this purpose, others use equity financing methods. One of the techniques used in equity financing is the simultaneous registration of shares on national and foreign stock exchanges, also known as the dual-registration method. Investors entering international markets by investing in dual-registered shares is important for companies to gain capital. However, another important issue for those investing in stocks is the ability to gain capital through accurate prediction of price movements. The aim of this study is to predict the prices of Turkcell stocks traded on Borsa Istanbul and the New York Stock Exchange (NYSE) using machine learning and deep learning methodologies. The results of the analyses conducted with the Random Forest Regressor and Long Short-Term Memory algorithms, which are machine learning and deep learning algorithms, respectively, showed that both algorithms exhibited a lower error rate in predicting the closing prices of Turkcell stocks on the NYSE.

Keywords

Dual-listed stocks, LSTM, price prediction, artificial intelligence algorithms

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Details

Primary Language

English

Subjects

Financial Mathematics

Journal Section

Research Article

Authors

Emine Nihan Cici Karaboğa
0000-0001-9580-077X
Türkiye

Gamze Şekeroğlu
0000-0003-2280-6470
Türkiye

Esra Kızıloğlu
0000-0001-6005-8755
Türkiye

Kazım Karaboğa ^*
0000-0002-4365-1714
Türkiye

Ayse Merve Acılar
0000-0002-0133-2694
Türkiye

Publication Date

December 31, 2024

Submission Date

November 1, 2024

Acceptance Date

December 29, 2024

Published in Issue

Year 2024 Volume: 4 Number: 5-Special Issue: ICAME'24

DOI

https://doi.org/10.53391/mmnsa.1577228

IZ

https://izlik.org/JA78LN73ZF

APA

Cici Karaboğa, E. N., Şekeroğlu, G., Kızıloğlu, E., Karaboğa, K., & Acılar, A. M. (2024). Price prediction of dual-listed stocks with RF and LSTM algorithms: NYSE and BIST comparison. Mathematical Modelling and Numerical Simulation With Applications, 4(5-Special Issue: ICAME’24), 207-230. https://doi.org/10.53391/mmnsa.1577228

AMA

1.Cici Karaboğa EN, Şekeroğlu G, Kızıloğlu E, Karaboğa K, Acılar AM. Price prediction of dual-listed stocks with RF and LSTM algorithms: NYSE and BIST comparison. MMNSA. 2024;4(5-Special Issue: ICAME’24):207-230. doi:10.53391/mmnsa.1577228

Chicago

Cici Karaboğa, Emine Nihan, Gamze Şekeroğlu, Esra Kızıloğlu, Kazım Karaboğa, and Ayse Merve Acılar. 2024. “Price Prediction of Dual-Listed Stocks With RF and LSTM Algorithms: NYSE and BIST Comparison”. Mathematical Modelling and Numerical Simulation With Applications 4 (5-Special Issue: ICAME’24): 207-30. https://doi.org/10.53391/mmnsa.1577228.

EndNote

Cici Karaboğa EN, Şekeroğlu G, Kızıloğlu E, Karaboğa K, Acılar AM (December 1, 2024) Price prediction of dual-listed stocks with RF and LSTM algorithms: NYSE and BIST comparison. Mathematical Modelling and Numerical Simulation with Applications 4 5-Special Issue: ICAME’24 207–230.

IEEE

[1]E. N. Cici Karaboğa, G. Şekeroğlu, E. Kızıloğlu, K. Karaboğa, and A. M. Acılar, “Price prediction of dual-listed stocks with RF and LSTM algorithms: NYSE and BIST comparison”, MMNSA, vol. 4, no. 5-Special Issue: ICAME’24, pp. 207–230, Dec. 2024, doi: 10.53391/mmnsa.1577228.

ISNAD

Cici Karaboğa, Emine Nihan - Şekeroğlu, Gamze - Kızıloğlu, Esra - Karaboğa, Kazım - Acılar, Ayse Merve. “Price Prediction of Dual-Listed Stocks With RF and LSTM Algorithms: NYSE and BIST Comparison”. Mathematical Modelling and Numerical Simulation with Applications 4/5-Special Issue: ICAME’24 (December 1, 2024): 207-230. https://doi.org/10.53391/mmnsa.1577228.

JAMA

1.Cici Karaboğa EN, Şekeroğlu G, Kızıloğlu E, Karaboğa K, Acılar AM. Price prediction of dual-listed stocks with RF and LSTM algorithms: NYSE and BIST comparison. MMNSA. 2024;4:207–230.

MLA

Cici Karaboğa, Emine Nihan, et al. “Price Prediction of Dual-Listed Stocks With RF and LSTM Algorithms: NYSE and BIST Comparison”. Mathematical Modelling and Numerical Simulation With Applications, vol. 4, no. 5-Special Issue: ICAME’24, Dec. 2024, pp. 207-30, doi:10.53391/mmnsa.1577228.

Vancouver

1.Emine Nihan Cici Karaboğa, Gamze Şekeroğlu, Esra Kızıloğlu, Kazım Karaboğa, Ayse Merve Acılar. Price prediction of dual-listed stocks with RF and LSTM algorithms: NYSE and BIST comparison. MMNSA. 2024 Dec. 1;4(5-Special Issue: ICAME’24):207-30. doi:10.53391/mmnsa.1577228

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