This study aims to identify the factors determining the use of derivatives in the banking sector. The study sample consists of 23 deposit banks operating continuously in the Turkish banking sector between 2009 and 2022. Derivative products classified as forward foreign exchange transactions, swap currency transactions, swap interest rate transactions, futures transactions, and option transactions are analyzed in terms of selected financial indicators of banks, their characteristics, and their relationship with macroeconomic variables such as inflation. In the study, the random effect panel Tobit regression model is used as a method. The study's findings demonstrate that banks' derivative activities are significantly influenced by their on-balance sheet FX position. Size, capital, credit risk pressure, inflation, and foreign ownership strongly influence banks' use of derivatives. According to the study's findings, banks primarily use derivatives for hedging in over-the-counter market transactions and for speculation in organized market transactions. However, it has been observed that the drive for speculative trading is dominant in large banks. To counteract this trend, regulators could impose limits on how much banks can use derivative products, with the limits varying based on the bank's size, thereby reducing the incentives for large banks to engage in such practices.
This study was produced from the doctoral thesis titled “Bankaların Türev Ürün Kullanımı ile Sektörel ve Makroekonomik Faktörlerin İlişki Düzeylerinin İncelenmesi: Türkiye’de Bankacılık Sektörü Üzerine Bir Uygulama”. The related thesis was prepared by Yusuf PALA under the supervision of Prof. Dr. Ali HEPŞEN at Istanbul University, Institute of Social Sciences, Department of Business Administration. The study does not necessitate Ethics Committee permission. The study has been crafted in adherence to the principles of research and publication ethics. The authors declare that AI tools are only used for enhancing spelling and grammar, and augmenting the overall readability of the article. The authors declare that there exists no financial conflict of interest involving any institution, organization, or individual(s) associated with the article. Furthermore, there are no conflicts of interest among the authors themselves. The authors declare that the contribution of authors of the study is 60% and 40%, respectively.
This study aims to identify the factors determining the use of derivatives in the banking sector. The study sample consists of 23 deposit banks operating continuously in the Turkish banking sector between 2009 and 2022. Derivative products classified as forward foreign exchange transactions, swap currency transactions, swap interest rate transactions, futures transactions, and option transactions are analyzed in terms of selected financial indicators of banks, their characteristics, and their relationship with macroeconomic variables such as inflation. In the study, the random effect panel Tobit regression model is used as a method. The study's findings demonstrate that banks' derivative activities are significantly influenced by their on-balance sheet FX position. Size, capital, credit risk pressure, inflation, and foreign ownership strongly influence banks' use of derivatives. According to the study's findings, banks primarily use derivatives for hedging in over-the-counter market transactions and for speculation in organized market transactions. However, it has been observed that the drive for speculative trading is dominant in large banks. To counteract this trend, regulators could impose limits on how much banks can use derivative products, with the limits varying based on the bank's size, thereby reducing the incentives for large banks to engage in such practices.
Primary Language | English |
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Subjects | Risk management in Banking, Financial Institutions, Financial Risk Management |
Journal Section | Research Articles |
Authors | |
Publication Date | December 31, 2024 |
Submission Date | June 10, 2024 |
Acceptance Date | November 21, 2024 |
Published in Issue | Year 2024 Volume: 11 Issue: 4 |
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