Main Article Content
Abstract
Currency-Hedged Deposits (CHD) were introduced in Türkiye to hedge the currency risk. Hence, it is aimed to provide macroeconomic stability in this country. Nevertheless, the impact of this implication on banks' participation is unclear. This study analyzes the impact of the foreign exchange hedge deposit (CHD) mechanism on the financial performance of participation banks in Türkiye. This study integrates fuzzy multi-criteria decision-making analysis with panel data regression. In this framework, data from these banks for 2021-2023 is considered. First, panel regression analysis is conducted for six participating banks. Second, a Euclidean distance-based CIMAS technique is used to find the most critical criteria. For this purpose, Fermatean fuzzy numbers are considered in this modelling process to handle uncertainties more effectively. The main contribution of this research is the hybrid consideration of panel data regression and fuzzy decision-making analysis. Owing to this combination, the impact of this new implication on bank participation can be more effectively identified. Econometric results indicate that CHD has a positive impact on profitability. On the other hand, risk management and compatibility with interest-free financing are the most critical factors.
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References
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- Yayman, D. (2022). Kur korumalı mevduat sistemi ve vergilemenin amaçları üzerine bir değerlendirme. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi , 31(2), 526-535. https://doi.org/10.58308/bemarej.1240921
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- Álvarez-Díez, S., Alfaro-Cid, E., and Fernández-Blanco, M. O. (2016). Hedging foreign exchange rate risk: Multi-currency diversification. European Journal of Management and Business Economics, 25(1), 2-7. doi: 10.1016/j.redee.2015.11.003
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- Baltagi, B. H., & Li, Q. (1991). A Lagrange multiplier test for the error components model with incomplete panels. Econometric Reviews, 10(1), 241–246. https://doi.org/10.1080/07474939108800169
- Hsiao, C. (2022). Analysis of panel data. Cambridge : Cambridge University Press. https://doi.org/10.1017/9781009057745
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- Bošković, S., Jovčić, S., Simic, V., Švadlenka, L., Dobrodolac, M., & Bacanin, N. (2025). A new criteria importance assessment (Cimas) method in multi-criteria group decision-making: Criteria evaluation for supplier selection. Facta Universitatis, Series: Mechanical Engineering, 23(2), 335-349.
References
Eksi, O., & Stetsyuk, I. (2025). Unconventional Monetary Policies and Foreign Exchange Swaps: The Case of Turkey. Emerging Markets Finance and Trade, 61(9), 2704-2728. https://doi.org/10.1080/1540496X.2025.2466702
Ozgur, O., & Aslan, M. (2025). Monetary policy stance and foreign currency lending: evidence from a persistently dollarized emerging market. Economic Change and Restructuring, 58(4), 52. https://doi.org/10.1007/s10644-025-09895-y
İlarslan, K. (2025). Threshold Effect of Inflation on the Relationship between Stock Market Index and Interest Rate. Ekonomi Politika ve Finans Araştırmaları Dergisi, 9(4), 779-795. https://doi.org/10.30784/epfad.1581213
Kaya, H. P. (2022). Döviz dönüşümlü kur korumalı Türk Lirası mevduat hesaplarının vergi usul kanunu kapsamında muhasebeleştirilmesi. Mali Çözüm Dergisi 32(172), 117-132.
Yayman, D. (2022). Kur korumalı mevduat sistemi ve vergilemenin amaçları üzerine bir değerlendirme. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi , 31(2), 526-535. https://doi.org/10.58308/bemarej.1240921
Akgemci, A. (2022). Kur korumalı mevduat hesabının TFRS 9 kapsamında muhasebeleştirilmesi. International Social Sciences Studies Journal, 8(97), 1347-1352. https://doi.org/10.29228/sssj.61143
Kaldırım, Z., ve Selvi, Y. (2023). Kur korumalı ve dönüşüm destekli mevduat hesaplarındaki saklı türevlerin muhasebeleştirilmesi. Mali Çözüm Dergisi 33(175), 13-38.
Álvarez-Díez, S., Alfaro-Cid, E., and Fernández-Blanco, M. O. (2016). Hedging foreign exchange rate risk: Multi-currency diversification. European Journal of Management and Business Economics, 25(1), 2-7. doi: 10.1016/j.redee.2015.11.003
Du, J., Wang, J.-N., Hsu, Y.-T., and Lai, K. K. (2018). The importance of hedging currency risk: Evidence from CNY and CNH. Economic Modelling, 75, 81-92. https://doi.org/10.1016/j.econmod.2018.06.007
Bag, S., and Omrane, A. (2022). Corporate social responsibility and ıts overall effects on financial performance: Empirical evidence from Indian companies. Journal of African Business, 23(1), 264-280. https://doi.org/10.1080/15228916.2020.1826884
Baltagi, B. H., & Li, Q. (1991). A Lagrange multiplier test for the error components model with incomplete panels. Econometric Reviews, 10(1), 241–246. https://doi.org/10.1080/07474939108800169
Hsiao, C. (2022). Analysis of panel data. Cambridge : Cambridge University Press. https://doi.org/10.1017/9781009057745
Musolesi, A., Golinelli, D., & Mazzanti, M. (2025). Modelling green knowledge production and environmental policies with semiparametric panel data regression models. Empirical Economics, 68(1), 327-352. https://doi.org/10.1007/s00181-024-02634-8
Jawadi, F., Pondie, T. M., & Cheffou, A. I. (2025). New challenges for green finance and sustainable industrialization in developing countries: A panel data analysis. Energy Economics, 142, 108120. https://doi.org/10.1016/j.eneco.2024.108120
Ma, C., Song, M., Zeng, W., Wang, X., Chen, T., & Wu, S. (2025). Enhancing urban emergency response: A Euclidean distance-based framework for optimizing rescue facility layouts. Sustainable Cities and Society, 118, 106006. https://doi.org/10.1016/j.scs.2024.106006
Héberger, K. (2025). Sum of Euclidean Distance Differences and Sum of Absolute Manhattan Distance Differences: multicriteria decision making tools for small data tabes. Analytica Chimica Acta, 344649. https://doi.org/10.1016/j.aca.2025.344649
Yalçın, G. C., Kara, K., Edinsel, S., Kaygısız, E. G., Simic, V., & Pamucar, D. (2025). Authentication system selection for performance appraisal in human resource management using an intuitionistic fuzzy CIMAS-ARLON model. Applied Soft Computing, 171, 112786. https://doi.org/10.1016/j.asoc.2025.112786
Shakeel, H. M., Farid, H. M. A., Iram, S., Hill, R., & Simic, V. (2025). Multi-stage decision support system for evaluating visual energy performance certificate platforms. Sustainable Energy, Grids and Networks, 101767. https://doi.org/10.1016/j.segan.2025.101767
Rahman, A. (2024). MEREC-WISP (S) Integration Extended with Fermatean Fuzzy Set for Requirement Prioritization. Foundation University Journal of Engineering and Applied Sciences (HEC Recognized Y Category, ISSN 2706-7351), 4(1), 37-60.
Bošković, S., Jovčić, S., Simic, V., Švadlenka, L., Dobrodolac, M., & Bacanin, N. (2025). A new criteria importance assessment (Cimas) method in multi-criteria group decision-making: Criteria evaluation for supplier selection. Facta Universitatis, Series: Mechanical Engineering, 23(2), 335-349.