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Recent innovation in benchmark rates (BMR): evidence from influential factors on Turkish Lira Overnight Reference Interest Rate with machine learning algorithms

Author

Listed:
  • Özer Depren

    (Yapı Kredi Bank)

  • Mustafa Tevfik Kartal

    (Borsa İstanbul Financial Reporting and Subsidiaries Directorate)

  • Serpil Kılıç Depren

    (Yildiz Technical University)

Abstract

Some countries have announced national benchmark rates, while others have been working on the recent trend in which the London Interbank Offered Rate will be retired at the end of 2021. Considering that Turkey announced the Turkish Lira Overnight Reference Interest Rate (TLREF), this study examines the determinants of TLREF. In this context, three global determinants, five country-level macroeconomic determinants, and the COVID-19 pandemic are considered by using daily data between December 28, 2018, and December 31, 2020, by performing machine learning algorithms and Ordinary Least Square. The empirical results show that (1) the most significant determinant is the amount of securities bought by Central Banks; (2) country-level macroeconomic factors have a higher impact whereas global factors are less important, and the pandemic does not have a significant effect; (3) Random Forest is the most accurate prediction model. Taking action by considering the study’s findings can help support economic growth by achieving low-level benchmark rates.

Suggested Citation

  • Özer Depren & Mustafa Tevfik Kartal & Serpil Kılıç Depren, 2021. "Recent innovation in benchmark rates (BMR): evidence from influential factors on Turkish Lira Overnight Reference Interest Rate with machine learning algorithms," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-20, December.
    • Handle: RePEc:spr:fininn:v:7:y:2021:i:1:d:10.1186_s40854-021-00245-1
    DOI: 10.1186/s40854-021-00245-1
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    as
    1. Michael Johannes & Suresh Sundaresan, 2007. "The Impact of Collateralization on Swap Rates," Journal of Finance, American Finance Association, vol. 62(1), pages 383-410, February.
    2. Iftekhar Hasan & Liuling Liu & Gaiyan Zhang, 2016. "The Determinants of Global Bank Credit-Default-Swap Spreads," Journal of Financial Services Research, Springer;Western Finance Association, vol. 50(3), pages 275-309, December.
    3. Suzan Hol, 2006. "Determinants of long-term interest rates in the Scandinavian countries," Discussion Papers 469, Statistics Norway, Research Department.
    4. Holston, Kathryn & Laubach, Thomas & Williams, John C., 2017. "Measuring the natural rate of interest: International trends and determinants," Journal of International Economics, Elsevier, vol. 108(S1), pages 59-75.
    5. Egert, Balazs & Crespo-Cuaresma, Jesus & Reininger, Thomas, 2007. "Interest rate pass-through in central and Eastern Europe: Reborn from ashes merely to pass away?," Journal of Policy Modeling, Elsevier, vol. 29(2), pages 209-225.
    6. Yang, Lu & Yang, Lei & Hamori, Shigeyuki, 2018. "Determinants of dependence structures of sovereign credit default swap spreads between G7 and BRICS countries," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 19-34.
    7. John B. Taylor & Volker Wieland, 2016. "Finding the Equilibrium Real Interest Rate in a Fog of Policy Deviations," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 51(3), pages 147-154, July.
    8. Biswajit Maitra, 2017. "Monetary and fiscal factors in nominal interest rate variations in Sri Lanka under a deregulated regime," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 3(1), pages 1-17, December.
    9. Egert, Balazs & Crespo-Cuaresma, Jesus & Reininger, Thomas, 2007. "Interest rate pass-through in central and Eastern Europe: Reborn from ashes merely to pass away?," Journal of Policy Modeling, Elsevier, vol. 29(2), pages 209-225.
    10. Galil, Koresh & Soffer, Gil, 2011. "Good news, bad news and rating announcements: An empirical investigation," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 3101-3119, November.
    11. T. Law & J. Shawe-Taylor, 2017. "Practical Bayesian support vector regression for financial time series prediction and market condition change detection," Quantitative Finance, Taylor & Francis Journals, vol. 17(9), pages 1403-1416, September.
    12. Karlyn Mitchell & Douglas K. Pearce, 2017. "Direct Evidence on Sticky Information from the Revision Behavior of Professional Forecasters," Southern Economic Journal, John Wiley & Sons, vol. 84(2), pages 637-653, October.
    13. Gozgor, Giray & Demir, Ender & Belas, Jaroslav & Yesilyurt, Serkan, 2019. "Does economic uncertainty affect domestic credits? an empirical investigation," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).
    14. Ann Marie Hibbert & Ivelina Pavlova, 2017. "The Drivers of Sovereign CDS Spread Changes: Local Versus Global Factors," The Financial Review, Eastern Finance Association, vol. 52(3), pages 435-457, August.
    15. Alexander, Carol & Kaeck, Andreas, 2008. "Regime dependent determinants of credit default swap spreads," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 1008-1021, June.
    16. Shaukat, Badiea & Zhu, Qigui & Khan, M. Ijaz, 2019. "Real interest rate and economic growth: A statistical exploration for transitory economies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    17. Galil, Koresh & Shapir, Offer Moshe & Amiram, Dan & Ben-Zion, Uri, 2014. "The determinants of CDS spreads," Journal of Banking & Finance, Elsevier, vol. 41(C), pages 271-282.
    18. R. Gopinathan & S. Raja Sethu Durai, 2019. "Stock market and macroeconomic variables: new evidence from India," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-17, December.
    19. Jammazi, Rania & Ferrer, Román & Jareño, Francisco & Hammoudeh, Shawkat M., 2017. "Main driving factors of the interest rate-stock market Granger causality," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 260-280.
    20. Matthias Schonlau & Rosie Yuyan Zou, 2020. "The random forest algorithm for statistical learning," Stata Journal, StataCorp LP, vol. 20(1), pages 3-29, March.
    21. Wing-Keung Wong & Habibullah Khan & Jun Du, 2006. "Do Money And Interest Rates Matter For Stock Prices? An Econometric Study Of Singapore And Usa," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 51(01), pages 31-51.
    22. Rizwan, Muhammad Suhail & Ahmad, Ghufran & Ashraf, Dawood, 2020. "Systemic risk: The impact of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
    23. Goodell, John W., 2020. "COVID-19 and finance: Agendas for future research," Finance Research Letters, Elsevier, vol. 35(C).
    24. Agus Salim, 2019. "Macroeconomic Determinants of Interest Rate Volatility in Indonesia: A Structural VAR Analysis," International Journal of Applied Economics, Finance and Accounting, Online Academic Press, vol. 5(2), pages 101-108.
    25. Ratti, Ronald A. & Vespignani, Joaquin L., 2016. "Oil prices and global factor macroeconomic variables," Energy Economics, Elsevier, vol. 59(C), pages 198-212.
    26. Finkelstein Shapiro, Alan, 2018. "Labor force participation, interest rate shocks, and unemployment dynamics in emerging economies," Journal of Development Economics, Elsevier, vol. 133(C), pages 346-374.
    27. Marcelo Kfoury Muinhos & Márcio I. Nakane, 2006. "Comparing equilibrium real interest rates: different approaches to measure Brazilian rates," Working Papers Series 101, Central Bank of Brazil, Research Department.
    28. Kim, Hyeongwoo & Shi, Wen, 2018. "The determinants of the benchmark interest rates in China," Journal of Policy Modeling, Elsevier, vol. 40(2), pages 395-417.
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    Cited by:

    1. Hasan Murat Ertuğrul & Mustafa Tevfik Kartal & Serpil Kılıç Depren & Uğur Soytaş, 2022. "Determinants of Electricity Prices in Turkey: An Application of Machine Learning and Time Series Models," Energies, MDPI, vol. 15(20), pages 1-17, October.
    2. Alexey Mikhaylov & Hasan Dinçer & Serhat Yüksel, 2023. "Analysis of financial development and open innovation oriented fintech potential for emerging economies using an integrated decision-making approach of MF-X-DMA and golden cut bipolar q-ROFSs," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-34, December.
    3. Mustafa Tevfik Kartal & Özer Depren, 2023. "Asymmetric relationship between global and national factors and domestic food prices: evidence from Turkey with novel nonlinear approaches," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-24, December.
    4. Kılıç Depren, Serpil & Kartal, Mustafa Tevfik & Ertuğrul, Hasan Murat & Depren, Özer, 2022. "The role of data frequency and method selection in electricity price estimation: Comparative evidence from Turkey in pre-pandemic and pandemic periods," Renewable Energy, Elsevier, vol. 186(C), pages 217-225.
    5. Pontines, Victor & Rummel, Ole, 2023. "LIBOR meets machine learning: A Lasso regression approach to detecting data irregularities," Finance Research Letters, Elsevier, vol. 55(PA).

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    More about this item

    Keywords

    Benchmark rate; Determinants; Machine learning algorithms; Turkey;
    All these keywords.

    JEL classification:

    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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