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Ali Fehim Cebeci

Personal Details

First Name:Ali
Middle Name:Fehim
Last Name:Cebeci
Suffix:
RePEc Short-ID:pce196
[This author has chosen not to make the email address public]

Affiliation

(50%) İşletme Fakültesi
Gebze Teknik Üniversitesi

Kocaeli, Turkey
http://www.gtu.edu.tr/kategori/44/3/isletme-fakultesi.aspx
RePEc:edi:ifgyttr (more details at EDIRC)

(50%) İktisat Bölümü
İşletme Fakültesi
Gebze Teknik Üniversitesi

Kocaeli, Turkey
http://www.gtu.edu.tr/economics
RePEc:edi:ibgyttr (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Ali Fehim Cebeci & Huseyin Ince & Murat Anil Mercan, 2020. "The intrinsic fallacy of market mechanism and private property rights in alleviating the tragedy of the commons," Applied Economics, Taylor & Francis Journals, vol. 52(33), pages 3629-3636, June.
  2. Huseyin Ince & Ali Fehim Cebeci & Salih Zeki Imamoglu, 2019. "An Artificial Neural Network-Based Approach to the Monetary Model of Exchange Rate," Computational Economics, Springer;Society for Computational Economics, vol. 53(2), pages 817-831, February.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Huseyin Ince & Ali Fehim Cebeci & Salih Zeki Imamoglu, 2019. "An Artificial Neural Network-Based Approach to the Monetary Model of Exchange Rate," Computational Economics, Springer;Society for Computational Economics, vol. 53(2), pages 817-831, February.

    Cited by:

    1. Zhaoyi Xu & Yuqing Zeng & Yangrong Xue & Shenggang Yang, 2022. "Early Warning of Chinese Yuan’s Exchange Rate Fluctuation and Value at Risk Measure Using Neural Network Joint Optimization Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1293-1315, December.
    2. Haider A. Khan & Shahryar Ghorbani & Elham Shabani & Shahab S. Band, 2024. "Enhancement of Neural Networks Model’s Predictions of Currencies Exchange Rates by Phase Space Reconstruction and Harris Hawks’ Optimization," Computational Economics, Springer;Society for Computational Economics, vol. 63(2), pages 835-860, February.
    3. Yun Zhou & Xuxu Zhu, 2025. "Forecasting USD/RMB exchange rate using the ICEEMDAN‐CNN‐LSTM model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(1), pages 200-215, January.
    4. de Souza Vasconcelos, Camila & Hadad Júnior, Eli, 2023. "Forecasting exchange rate: A bibliometric and content analysis," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 607-628.
    5. Heo, Wookjae & Lee, Jae Min & Park, Narang & Grable, John E., 2020. "Using Artificial Neural Network techniques to improve the description and prediction of household financial ratios," Journal of Behavioral and Experimental Finance, Elsevier, vol. 25(C).
    6. Chang, Lei & Baloch, Zulfiqar Ali & Saydaliev, Hayot Berk & Hyder, Mansoor & Dilanchiev, Azer, 2022. "Testing oil price volatility during Covid-19: Global economic impact," Resources Policy, Elsevier, vol. 78(C).

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