Research Article

TECHNICAL ANALYSIS OF EQUITY-INTENSIVE MUTUAL FUNDS IN TURKEY: AN EVALUATION BASED ON MA30, VOLATILITY, AND CORRELATION

Volume: 9 Number: 2 June 29, 2025

TECHNICAL ANALYSIS OF EQUITY-INTENSIVE MUTUAL FUNDS IN TURKEY: AN EVALUATION BASED ON MA30, VOLATILITY, AND CORRELATION

Abstract

An LSTM-based forecasting model was implemented to identify potential changes in risk levels over time. Technical indicators such as volatility, standard deviation, and moving averages were used to analyze fluctuations in behavioral patterns. The findings indicate significant relationships between changes in economic indicators and their impact on communities, highlighting the importance of early intervention strategies and policy measures.

Keywords

References

  1. [1] S. Hochreiter, and J. Schmidhuber, Long short-term memory. Neural Computation, 9(8), 1735–1780, 1997.
  2. [2] F. A. Gers, J. Schmidhuber, and F. Cummins, Learning to forget: Continual prediction with LSTM. Neural Computation, 12(10), 2451–2471, 2000.
  3. [3] A. Graves, Generating sequences with recurrent neural networks. arXiv preprint arXiv:1308.0850, 2013.
  4. [4] T. Fischer, and C. Krauss, Deep learning with long short-term memory networks for financial market predictions. European Journal of Operational Research, 270 (2), 654–669, 2018.
  5. [5] K. A. Althelaya, E. S. El-Alfy, and S. Mohammed, Evaluation of bidirectional LSTM for short- and long-term stock market prediction. In 2018 9th International Conference on Information and Communication Systems (ICICS) (pp. 151–156). IEEE, 2018..
  6. [6] N. Srivastava, G. Hinton, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov, Dropout: A simple way to prevent neural networks from overfitting. Journal of Machine Learning Research, 15(1), 1929–1958, 2014.
  7. [7] J. Brownlee, Deep Learning for Time Series Forecasting: Predict the Future with MLPs, CNNs and LSTMs in Python. Machine Learning Mastery, 2017.
  8. [8] I. E. Livieris, E. Pintelas, and P. Pintelas, A CNN–LSTM model for gold price time-series forecasting. Neural Computing and Applications, 32, 17351–17360, 2020.

Details

Primary Language

English

Subjects

Artificial Intelligence (Other)

Journal Section

Research Article

Publication Date

June 29, 2025

Submission Date

May 26, 2025

Acceptance Date

June 10, 2025

Published in Issue

Year 2025 Volume: 9 Number: 2

APA
Yücel, N. Ö., & Beken, M. (2025). TECHNICAL ANALYSIS OF EQUITY-INTENSIVE MUTUAL FUNDS IN TURKEY: AN EVALUATION BASED ON MA30, VOLATILITY, AND CORRELATION. International Journal of Engineering Science and Application, 9(2), 26-32. https://izlik.org/JA29RC96UJ
AMA
1.Yücel NÖ, Beken M. TECHNICAL ANALYSIS OF EQUITY-INTENSIVE MUTUAL FUNDS IN TURKEY: AN EVALUATION BASED ON MA30, VOLATILITY, AND CORRELATION. IJESA. 2025;9(2):26-32. https://izlik.org/JA29RC96UJ
Chicago
Yücel, Nezaket Özlem, and Murat Beken. 2025. “TECHNICAL ANALYSIS OF EQUITY-INTENSIVE MUTUAL FUNDS IN TURKEY: AN EVALUATION BASED ON MA30, VOLATILITY, AND CORRELATION”. International Journal of Engineering Science and Application 9 (2): 26-32. https://izlik.org/JA29RC96UJ.
EndNote
Yücel NÖ, Beken M (June 1, 2025) TECHNICAL ANALYSIS OF EQUITY-INTENSIVE MUTUAL FUNDS IN TURKEY: AN EVALUATION BASED ON MA30, VOLATILITY, AND CORRELATION. International Journal of Engineering Science and Application 9 2 26–32.
IEEE
[1]N. Ö. Yücel and M. Beken, “TECHNICAL ANALYSIS OF EQUITY-INTENSIVE MUTUAL FUNDS IN TURKEY: AN EVALUATION BASED ON MA30, VOLATILITY, AND CORRELATION”, IJESA, vol. 9, no. 2, pp. 26–32, June 2025, [Online]. Available: https://izlik.org/JA29RC96UJ
ISNAD
Yücel, Nezaket Özlem - Beken, Murat. “TECHNICAL ANALYSIS OF EQUITY-INTENSIVE MUTUAL FUNDS IN TURKEY: AN EVALUATION BASED ON MA30, VOLATILITY, AND CORRELATION”. International Journal of Engineering Science and Application 9/2 (June 1, 2025): 26-32. https://izlik.org/JA29RC96UJ.
JAMA
1.Yücel NÖ, Beken M. TECHNICAL ANALYSIS OF EQUITY-INTENSIVE MUTUAL FUNDS IN TURKEY: AN EVALUATION BASED ON MA30, VOLATILITY, AND CORRELATION. IJESA. 2025;9:26–32.
MLA
Yücel, Nezaket Özlem, and Murat Beken. “TECHNICAL ANALYSIS OF EQUITY-INTENSIVE MUTUAL FUNDS IN TURKEY: AN EVALUATION BASED ON MA30, VOLATILITY, AND CORRELATION”. International Journal of Engineering Science and Application, vol. 9, no. 2, June 2025, pp. 26-32, https://izlik.org/JA29RC96UJ.
Vancouver
1.Nezaket Özlem Yücel, Murat Beken. TECHNICAL ANALYSIS OF EQUITY-INTENSIVE MUTUAL FUNDS IN TURKEY: AN EVALUATION BASED ON MA30, VOLATILITY, AND CORRELATION. IJESA [Internet]. 2025 Jun. 1;9(2):26-32. Available from: https://izlik.org/JA29RC96UJ

ISSN 2548-1185
e-ISSN 2587-2176
Period: Quarterly
Founded: 2016
e-mail: Ali.pasazade@nisantasi.edu.tr