The Impact of the Central Bank of Turkey’s Monetary Policies on Cryptocurrency Market Dynamics: An ARDL Model for 2014–2025 Period
Abstract
This study examines the dynamic relationship between cryptocurrency markets and monetary policy in Turkey, focusing on how macroeconomic and financial variables shape four key dimensions of the market: price, trading volume, volatility, and return. Using monthly data from 2013M09 to 2025M03, the analysis applies the Autoregressive Distributed Lag (ARDL) bounds testing approach to identify both short- and long-run relationships, complemented by Error Correction Models (ECM) to estimate adjustment speeds toward equilibrium. The findings reveal robust cointegration across all models, confirming that Turkey’s crypto market is closely linked to national and global macro-financial conditions. Exchange rate depreciation and the global bitcoin price emerge as the main long-run drivers of prices and trading volumes, while domestic policy instruments such as the policy rate and reserve requirements exert only indirect influence. In the short run, cryptocurrency returns exhibit strong momentum effects and overshooting behavior, whereas volatility shows a clear mean-reverting pattern. The results reveal that while the traditional interest rate channel of monetary policy shows no significant long-run direct impact, the liquidity channel operating through the Reserve Requirement Ratio (RRR) and Broad Money Supply (M2) remains an active and direct transmission mechanism, particularly affecting trading volumes and short-run price dynamics. The study contributes to the growing literature on monetary transmission in digital asset markets by providing country-specific evidence from an emerging economy, offering insights for both policymakers and investors on the integration of cryptocurrencies within broader financial systems.
References
Abdelkaoui, F., Sidaoui, A., Nasser, F., & Bouzidi, M. (2024). Cryptocurrency and macroeconomic dynamics: Case of 10 Asian economies. South Asian Journal of Macroeconomics and Public Finance, 13(1), 100–126. https://doi.org/10.1177/22779787241245780
Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716–723. https://doi.org/10.1109/TAC.1974.1100705
Amihud, Y. (2002). Illiquidity and stock returns: Cross-section and time-series effects. Journal of Financial Markets, 5(1), 31–56. https://doi.org/10.1016/S1386-4181(01)00024-6
Andrikopoulos, A., Hudson, R., Akbar, S., & Saftoiu, D. (2018). Cryptocurrencies meet inflation theory. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3243459
Ante, L., Fiedler, F., Steinmetz, F., & Fiedler, I. (2022). Profiling Turkish cryptocurrency owners. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4248849
Ante, L., Fiedler, F., Steinmetz, F., & Fiedler, I. (2023). Profiling Turkish cryptocurrency owners: Payment users, crypto investors and crypto traders. Journal of Risk and Financial Management, 16(4), Article 239. https://doi.org/10.3390/jrfm16040239
Ardia, D., Bluteau, K., & Rüede, M. (2019). Regime changes in Bitcoin GARCH volatility dynamics. Finance Research Letters, 29, 266–271. https://doi.org/10.1016/j.frl.2018.08.009
Aysan, A. F., Demir, E., Gozgor, G., & Lau, C. K. M. (2019). Effects of the geopolitical risks on Bitcoin returns and volatility. Research in International Business and Finance, 47, 511–518. https://doi.org/10.1016/j.ribaf.2018.09.011
Barone, R., & Masciandaro, D. (2019). Cryptocurrency or usury? Crime and alternative money laundering techniques. European Journal of Law and Economics, 47(2), 233–254. https://doi.org/10.1007/s10657-019-09609-6
Baur, D. G., & Dimpfl, T. (2021). The volatility of Bitcoin and its role as a medium of exchange and a store of value. Empirical Economics, 61(5), 2663–2683. https://doi.org/10.1007/s00181-020-01990-5
Będowska-Sójka, B., Górka, J., Hemmings, D., & Zaremba, A. (2024). Uncertainty and cryptocurrency returns: A lesson from turbulent times. International Review of Financial Analysis, 94, Article 103330. https://doi.org/10.1016/j.irfa.2024.103330
Belke, A., & Beretta, E. (2020). From cash to central bank digital currencies and cryptocurrencies: A balancing act between modernity and monetary stability. Journal of Economic Studies, 47(4), 911–938. https://doi.org/10.1108/JES-07-2019-0311
Ben Omrane, W., Houidi, F., & Savaser, T. (2023). Macroeconomic news and intraday seasonal volatility in the cryptocurrency markets. Applied Economics, 56(38), 4594–4610. https://doi.org/10.1080/00036846.2023.2212970
Benigno, P. (2022). Monetary policy in a world of cryptocurrencies. Journal of the European Economic Association, 21(4), 1363–1396. https://doi.org/10.1093/jeea/jvac066
BenSaïda, A. (2023). The linkage between Bitcoin and foreign exchanges in developed and emerging markets. Financial Innovation, 9, Article 38. https://doi.org/10.1186/s40854-023-00454-w
Bernanke, B. S., & Blinder, A. S. (1992). The federal funds rate and the channels of monetary transmission. American Economic Review, 82(4), 901–921.
Bernanke, B. S., & Gertler, M. (1995). Inside the black box: The credit channel of monetary policy transmission. Journal of Economic Perspectives, 9(4), 27–48. https://doi.org/10.1257/jep.9.4.27
Bernanke, B. S., & Kuttner, K. N. (2005). What explains the stock market’s reaction to Federal Reserve policy? Journal of Finance, 60(3), 1221–1257. https://doi.org/10.1111/j.1540-6261.2005.00760.x
Blanchard, O., & Katz, L. F. (1997). What we know and do not know about the natural rate of unemployment. Journal of Economic Perspectives, 11(1), 51–72. https://doi.org/10.1257/jep.11.1.51
Borio, C., & Zhu, H. (2012). Capital regulation, risk-taking and monetary policy: A missing link in the transmission mechanism? Journal of Financial Stability, 8(4), 236–251. https://doi.org/10.1016/j.jfs.2011.12.003
Bouri, E., Molnár, P., Azzi, G., Roubaud, D., & Hagfors, L. I. (2017). On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier? Finance Research Letters, 20, 192–198. https://doi.org/10.1016/j.frl.2016.09.025
Breusch, T. S. (1978). Testing for autocorrelation in dynamic linear models. Australian Economic Papers, 17(31), 334–355. https://doi.org/10.1111/j.1467-8454.1978.tb00635.x
Bulut, U. (2019). Does the Central Bank of the Republic of Turkey respond asymmetrically to inflation and output? Margin: The Journal of Applied Economic Research, 13(4), 381–400. https://doi.org/10.1177/0973801019868374
Burnham, K. P., & Anderson, D. R. (2002). Model selection and multimodel inference: A practical information-theoretic approach (2nd ed.). Springer.
Buthelezi, E. M. (2024). Cryptocurrency responses to U.S. monetary policy shocks: A data-driven exploration of price and volatility patterns. The American Economist, 70(1), 94–119. https://doi.org/10.1177/05694345241269036
Cagli, E. C., & Dimpfl, T. (2025). Have cryptocurrencies arrived in the system of fiat currencies? An appraisal based on monetary policy uncertainty. Finance Research Letters, 85, Article 107993. https://doi.org/10.1016/j.frl.2025.107993
Campbell, J. Y., Lo, A. W., & MacKinlay, A. C. (1997). The econometrics of financial markets. Princeton University Press.
Carvalho, C. E., Pires, D. A., Artioli, M., & de Oliveira, G. C. (2021). Cryptocurrencies: Technology, initiatives of banks and central banks, and regulatory challenges. Economia e Sociedade, 30(2), 439–465. https://doi.org/10.1590/1982-3533.2021v30n2art08
Chainalysis. (2023). The 2023 geography of cryptocurrency report. https://static.poder360.com.br/2024/01/The-2023-Geography-of-Cryptocurrency-Report_Chainalysis.pdf.
Chu, J., Nadarajah, S., & Chan, S. (2015). Statistical analysis of the exchange rate of Bitcoin. PLOS ONE, 10(7), e0133678. https://doi.org/10.1371/journal.pone.0133678
CoinGecko. (2023). 2023 annual crypto industry report. https://www.coingecko.com/research/publications/2023-annual-crypto-report.
CoinMarketCap. (2024). Global cryptocurrency charts. https://coinmarketcap.com/charts/
Conlon, T., Corbet, S., & McGee, R. (2020). Are cryptocurrencies a safe haven for equity markets? SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3601045
Corbet, S., Larkin, C., Lucey, B. M., Meegan, A., & Yarovaya, L. (2020). The impact of macroeconomic news on Bitcoin returns. The European Journal of Finance, 26(14), 1396–1416. https://doi.org/10.1080/1351847X.2020.1737168
Corbet, S., Lucey, B. M., Urquhart, A., & Yarovaya, L. (2019). Cryptocurrencies as a financial asset: A systematic analysis. International Review of Financial Analysis, 62, 182–199. https://doi.org/10.1016/j.irfa.2018.09.003
Corbet, S., McHugh, G., & Meegan, A. (2017). The influence of central bank monetary policy announcements on cryptocurrency return volatility. Investment Management and Financial Innovations, 14(4), 60–72. https://doi.org/10.21511/imfi.14(4).2017.07
Corbet, S., Meegan, A., Larkin, C., Lucey, B., & Yarovaya, L. (2018). Exploring the dynamic relationships between cryptocurrencies and other financial assets. Economics Letters, 165, 28–34. https://doi.org/10.1016/j.econlet.2018.01.004
Coskun, E. A., Lau, C. K. M., & Kahyaoglu, H. (2020). Uncertainty and herding behavior: Evidence from cryptocurrencies. Research in International Business and Finance, 54, Article 101284. https://doi.org/10.1016/j.ribaf.2020.101284
Dabbous, A., Merhej Sayegh, M., & Aoun Barakat, K. (2022). Understanding the adoption of cryptocurrencies for financial transactions within a high-risk context. The Journal of Risk Finance, 23(4), 349–367. https://doi.org/10.1108/JRF-10-2021-0169
Demir, E., Gozgor, G., Lau, C. K. M., & Vigne, S. A. (2018). Does economic policy uncertainty predict the Bitcoin returns? An empirical investigation. Finance Research Letters, 26, 145–149. https://doi.org/10.1016/j.frl.2018.01.005
Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366), 427–431. https://doi.org/10.2307/2286348
Dornbusch, R. (1976). Expectations and exchange rate dynamics. Journal of Political Economy, 84(6), 1161–1176. https://doi.org/10.1086/260506
Dyhrberg, A. H. (2016). Hedging capabilities of bitcoin: Is it the virtual gold? Finance Research Letters, 16, 139–144. https://doi.org/10.1016/j.frl.2015.10.025
Elsayed, A. H., & Sousa, R. M. (2022). International monetary policy and cryptocurrency markets: Dynamic and spillover effects. The European Journal of Finance, 30(16), 1855–1875. https://doi.org/10.1080/1351847X.2022.2068375
Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. https://doi.org/10.2307/1912773
Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. Journal of Finance, 25(2), 383–417. https://doi.org/10.2307/2325486
Fang, L., Bouri, E., Gupta, R., & Roubaud, D. (2019). Does global economic uncertainty matter for the volatility and hedging effectiveness of Bitcoin? International Review of Financial Analysis, 61, 29–36. https://doi.org/10.1016/j.irfa.2018.12.010
Figá-Talamanca, G., & Patacca, M. (2019). Does market attention affect Bitcoin returns and volatility? Decisions in Economics and Finance, 42(1), 135–155. https://doi.org/10.1007/s10203-019-00258-7
Friedman, M. (1968). The role of monetary policy. American Economic Review, 58(1), 1–17.
Godfrey, L. G. (1978). Testing against general autoregressive and moving average error models when the regressors include lagged dependent variables. Econometrica, 46(6), 1293–1301. https://doi.org/10.2307/1913829
Gujarati, D. N., & Porter, D. C. (2009). Basic econometrics (5th ed.). McGraw-Hill.
He, C., Li, Y., Wang, T., & Shah, S. A. (2024). Is cryptocurrency a hedging tool during economic policy uncertainty? An empirical investigation. Humanities and Social Sciences Communications, 11(1), 1–12. https://doi.org/10.1057/s41599-023-02532-x
Hull, J. C. (2012). Options, futures, and other derivatives (8th ed.). Pearson.
İşcan, H. (2020). Bitcoin ile finansal makro değişkenler arasındaki ilişki: Türkiye üzerine bir VAR analizi [The relationship between Bitcoin and financial macro variables: A VAR analysis on Turkey]. Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi, 8, 107–118. https://doi.org/10.18506/anemon.670329
Iyer, R. (2023). New evidence on spillovers between crypto assets and financial markets (IMF Working Paper No. 2023/213). International Monetary Fund. https://doi.org/10.5089/9798400256622.001
Kang, K., & Lee, S. (2018). Money, cryptocurrency, and monetary policy. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3303595
Kang, K., & Lee, S. (2022). Money, Bitcoin, and monetary policy. Journal of Money, Credit and Banking, 56(1), 225–256. https://doi.org/10.1111/jmcb.12992
Karau, S. (2021). Monetary policy and Bitcoin. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3988527
Koziuk, V. (2022). What do cross-country Bitcoin holdings tell us? Monetary and institutional discontent vs financial development. Investment Management and Financial Innovations, 19(1), 168–185. https://doi.org/10.21511/imfi.19(1).2022.13
Krivoruchko, S., Ponamorenko, V., & Nebera, A. (2018). Central bank policy and cryptocurrencies. Journal of Reviews on Global Economics, 7, 549–561. https://doi.org/10.6000/1929-7092.2018.07.51
Lin, M., Liu, Y., & Sheng, V. N. K. (2025). Analysis of the impact of macroeconomic factors on cryptocurrency returns: Based on quantile regression study. International Review of Economics & Finance, 97, Article 103757. https://doi.org/10.1016/j.iref.2024.103757
Lutz, J. K. T. (2018). Coexistence of cryptocurrencies and central bank issued fiat currencies: A systematic literature review. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3303252
Ma, C., Tian, Y., Hsiao, S., & Deng, L. (2022). Monetary policy shocks and Bitcoin prices. Research in International Business and Finance, 62, Article 101711. https://doi.org/10.1016/j.ribaf.2022.101711
MacKinnon, J. G. (1996). Numerical distribution functions for unit root and cointegration tests. Journal of Applied Econometrics, 11(6), 601–618. https://doi.org/10.1002/(SICI)1099-1255(199611)11:6<601::AID-JAE417>3.0.CO;2-T
Marmora, P. (2022). Does monetary policy fuel bitcoin demand? Event-study evidence from emerging markets. Journal of International Financial Markets, Institutions and Money, 77, Article 101489. https://doi.org/10.1016/j.intfin.2021.101489
Mishkin, F. S. (2001). The transmission mechanism and the role of asset prices in monetary policy, NBER Working Paper, 8617. https://doi.org/10.3386/w8617
Mishkin, F. S. (2016). The economics of money, banking, and financial markets (10th ed.). Pearson.
Mumtaz, M. Z., Smith, Z., & Yoshino, N. (2025). Cryptocurrencies, money demand, and monetary policy. Bulletin of Monetary Economics and Banking, 28(2), 293–312. https://doi.org/10.59091/2460-9196.1722
Narayan, P. K., & Smyth, R. (2005). The residential demand for electricity in Australia: An application of the bounds testing approach to cointegration. Energy Policy, 33(4), 467–474. https://doi.org/10.1016/j.enpol.2003.08.011
Oefele, N., Baur, D. G., & Smales, L. A. (2025). The effect of currency risk on crypto asset utilization in Türkiye. Emerging Markets Review, 65, 101264. https://doi.org/10.1016/j.ememar.2025.101264
Ojaghlou, M., & Demirkale, Ö. (2023). Bitcoin ile borsa endeksleri ve seçili finansal varlıklar arasındaki uzun dönem asimetrik ilişkisi: Kırılgan Beşli ülkeler örneği [Long-term asymmetric relationship between Bitcoin and stock indexes and selected financial assets: The example of Fragile Five countries]. Abant Sosyal Bilimler Dergisi, 23(2), 1046–1065. https://doi.org/10.11616/asbi.1266989
Othman, A. H. A., Alhabshi, S. M., Haron, R., & Noor, A. B. M. (2019). The future of the banking system under the dominance and development of the cryptocurrency industry: Empirical evidence from cointegration analysis. The Journal of Wealth Management, 22(2), 109–127. https://doi.org/10.3905/jwm.2019.1.075
Pelagidis, T., & Kostika, E. (2022). Investigating the role of central banks in the interconnection between financial markets and cryptoassets. Journal of Industrial and Business Economics, 49(3), 481–507. https://doi.org/10.1007/s40812-022-00227-z
Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326. https://doi.org/10.1002/jae.616
Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. https://doi.org/10.2307/2336182
Phochanachan, P., Pirabun, N., Leurcharusmee, S., & Yamaka, W. (2022). Do Bitcoin and traditional financial assets act as an inflation hedge during stable and turbulent markets? Evidence from high cryptocurrency adoption countries. Axioms, 11(7), 339. https://doi.org/10.3390/axioms11070339
Pour Rostami, L. (2024). Swaying to the Fed’s rhythm: Cryptocurrencies and the echoes of monetary policy shocks. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4675403
Sergio, I., & Wedemeier, J. (2025). Global surge: Exploring cryptocurrency adoption with evidence from spatial models. Financial Innovation, 11, Article 96. https://doi.org/10.1186/s40854-025-00765-0
Smales, L. A. (2019). Bitcoin as a safe haven: Is it even worth considering? Finance Research Letters, 30, 385–393. https://doi.org/10.1016/j.frl.2018.11.002
Ssaharti, M. (2022). The impact of crypto currencies on the economy and the financial industry. Journal of Advances in Humanities Research, 1(1), 60–69. https://doi.org/10.56868/jadhur.v1i1.11
Taskinsoy, J. (2019). Bitcoin and Turkey: A good match or a perfect storm? SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3477849
Tobin, J. (1969). A general equilibrium approach to monetary theory. Journal of Money, Credit and Banking, 1(1), 15–29. https://doi.org/10.2307/1991374
Tomić, N., Todorović, V., & Čakajac, B. (2020). The potential effects of cryptocurrencies on monetary policy. The European Journal of Applied Economics, 17(1), 37–48. https://doi.org/10.5937/ejae17-21873
Tosun, T. T., & Uğurlu, E. (2025). The impact of the Fed's monetary policy on cryptocurrencies: Novel policy implications for central banks. Journal of Risk and Financial Management, 18(7), Article 393. https://doi.org/10.3390/jrfm18070393
Umeokwobi, R., Tamuke, E. C. E., Ezie, O., Aigbedion, M., & Vandy, P. S. (2024). Nexus between monetary indicators and Bitcoin in selected Sub-Saharan Africa: A panel ARDL. Theoretical and Practical Research in Economic Fields, 15(3), 742–753. https://doi.org/10.14505/tpref.v15.3(31).18
Verma, S., & Atri, R. (2024). Cryptocurrency adoption and financial innovation. International Journal of Advanced Research in Science, Communication and Technology, 4(2), 560–564. https://doi.org/10.48175/IJARSCT-17085
Whaley, R. E. (2000). The investor fear gauge. The Journal of Portfolio Management, 26(3), 12–17. https://doi.org/10.3905/jpm.2000.319728
White, H. (1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica, 48(4), 817–838. https://doi.org/10.2307/1912934
Wooldridge, J. M. (2013). Introductory econometrics: A modern approach (5th ed.). South-Western Cengage Learning.
Zhao, Y., Zhang, M., Pei, Z., & Nan, J. (2023). The effects of quantitative easing on Bitcoin prices. Finance Research Letters, 57, Article 104232. https://doi.org/10.1016/j.frl.2023.104232
Zhou, S. (2019). Exploring the driving forces of the Bitcoin currency exchange rate dynamics: An EGARCH approach. Empirical Economics, 60(2), 557–606. https://doi.org/10.1007/s00181-019-01776-4
Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716–723. https://doi.org/10.1109/TAC.1974.1100705
Amihud, Y. (2002). Illiquidity and stock returns: Cross-section and time-series effects. Journal of Financial Markets, 5(1), 31–56. https://doi.org/10.1016/S1386-4181(01)00024-6
Andrikopoulos, A., Hudson, R., Akbar, S., & Saftoiu, D. (2018). Cryptocurrencies meet inflation theory. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3243459
Ante, L., Fiedler, F., Steinmetz, F., & Fiedler, I. (2022). Profiling Turkish cryptocurrency owners. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4248849
Ante, L., Fiedler, F., Steinmetz, F., & Fiedler, I. (2023). Profiling Turkish cryptocurrency owners: Payment users, crypto investors and crypto traders. Journal of Risk and Financial Management, 16(4), Article 239. https://doi.org/10.3390/jrfm16040239
Ardia, D., Bluteau, K., & Rüede, M. (2019). Regime changes in Bitcoin GARCH volatility dynamics. Finance Research Letters, 29, 266–271. https://doi.org/10.1016/j.frl.2018.08.009
Aysan, A. F., Demir, E., Gozgor, G., & Lau, C. K. M. (2019). Effects of the geopolitical risks on Bitcoin returns and volatility. Research in International Business and Finance, 47, 511–518. https://doi.org/10.1016/j.ribaf.2018.09.011
Barone, R., & Masciandaro, D. (2019). Cryptocurrency or usury? Crime and alternative money laundering techniques. European Journal of Law and Economics, 47(2), 233–254. https://doi.org/10.1007/s10657-019-09609-6
Baur, D. G., & Dimpfl, T. (2021). The volatility of Bitcoin and its role as a medium of exchange and a store of value. Empirical Economics, 61(5), 2663–2683. https://doi.org/10.1007/s00181-020-01990-5
Będowska-Sójka, B., Górka, J., Hemmings, D., & Zaremba, A. (2024). Uncertainty and cryptocurrency returns: A lesson from turbulent times. International Review of Financial Analysis, 94, Article 103330. https://doi.org/10.1016/j.irfa.2024.103330
Belke, A., & Beretta, E. (2020). From cash to central bank digital currencies and cryptocurrencies: A balancing act between modernity and monetary stability. Journal of Economic Studies, 47(4), 911–938. https://doi.org/10.1108/JES-07-2019-0311
Ben Omrane, W., Houidi, F., & Savaser, T. (2023). Macroeconomic news and intraday seasonal volatility in the cryptocurrency markets. Applied Economics, 56(38), 4594–4610. https://doi.org/10.1080/00036846.2023.2212970
Benigno, P. (2022). Monetary policy in a world of cryptocurrencies. Journal of the European Economic Association, 21(4), 1363–1396. https://doi.org/10.1093/jeea/jvac066
BenSaïda, A. (2023). The linkage between Bitcoin and foreign exchanges in developed and emerging markets. Financial Innovation, 9, Article 38. https://doi.org/10.1186/s40854-023-00454-w
Bernanke, B. S., & Blinder, A. S. (1992). The federal funds rate and the channels of monetary transmission. American Economic Review, 82(4), 901–921.
Bernanke, B. S., & Gertler, M. (1995). Inside the black box: The credit channel of monetary policy transmission. Journal of Economic Perspectives, 9(4), 27–48. https://doi.org/10.1257/jep.9.4.27
Bernanke, B. S., & Kuttner, K. N. (2005). What explains the stock market’s reaction to Federal Reserve policy? Journal of Finance, 60(3), 1221–1257. https://doi.org/10.1111/j.1540-6261.2005.00760.x
Blanchard, O., & Katz, L. F. (1997). What we know and do not know about the natural rate of unemployment. Journal of Economic Perspectives, 11(1), 51–72. https://doi.org/10.1257/jep.11.1.51
Borio, C., & Zhu, H. (2012). Capital regulation, risk-taking and monetary policy: A missing link in the transmission mechanism? Journal of Financial Stability, 8(4), 236–251. https://doi.org/10.1016/j.jfs.2011.12.003
Bouri, E., Molnár, P., Azzi, G., Roubaud, D., & Hagfors, L. I. (2017). On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier? Finance Research Letters, 20, 192–198. https://doi.org/10.1016/j.frl.2016.09.025
Breusch, T. S. (1978). Testing for autocorrelation in dynamic linear models. Australian Economic Papers, 17(31), 334–355. https://doi.org/10.1111/j.1467-8454.1978.tb00635.x
Bulut, U. (2019). Does the Central Bank of the Republic of Turkey respond asymmetrically to inflation and output? Margin: The Journal of Applied Economic Research, 13(4), 381–400. https://doi.org/10.1177/0973801019868374
Burnham, K. P., & Anderson, D. R. (2002). Model selection and multimodel inference: A practical information-theoretic approach (2nd ed.). Springer.
Buthelezi, E. M. (2024). Cryptocurrency responses to U.S. monetary policy shocks: A data-driven exploration of price and volatility patterns. The American Economist, 70(1), 94–119. https://doi.org/10.1177/05694345241269036
Cagli, E. C., & Dimpfl, T. (2025). Have cryptocurrencies arrived in the system of fiat currencies? An appraisal based on monetary policy uncertainty. Finance Research Letters, 85, Article 107993. https://doi.org/10.1016/j.frl.2025.107993
Campbell, J. Y., Lo, A. W., & MacKinlay, A. C. (1997). The econometrics of financial markets. Princeton University Press.
Carvalho, C. E., Pires, D. A., Artioli, M., & de Oliveira, G. C. (2021). Cryptocurrencies: Technology, initiatives of banks and central banks, and regulatory challenges. Economia e Sociedade, 30(2), 439–465. https://doi.org/10.1590/1982-3533.2021v30n2art08
Chainalysis. (2023). The 2023 geography of cryptocurrency report. https://static.poder360.com.br/2024/01/The-2023-Geography-of-Cryptocurrency-Report_Chainalysis.pdf.
Chu, J., Nadarajah, S., & Chan, S. (2015). Statistical analysis of the exchange rate of Bitcoin. PLOS ONE, 10(7), e0133678. https://doi.org/10.1371/journal.pone.0133678
CoinGecko. (2023). 2023 annual crypto industry report. https://www.coingecko.com/research/publications/2023-annual-crypto-report.
CoinMarketCap. (2024). Global cryptocurrency charts. https://coinmarketcap.com/charts/
Conlon, T., Corbet, S., & McGee, R. (2020). Are cryptocurrencies a safe haven for equity markets? SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3601045
Corbet, S., Larkin, C., Lucey, B. M., Meegan, A., & Yarovaya, L. (2020). The impact of macroeconomic news on Bitcoin returns. The European Journal of Finance, 26(14), 1396–1416. https://doi.org/10.1080/1351847X.2020.1737168
Corbet, S., Lucey, B. M., Urquhart, A., & Yarovaya, L. (2019). Cryptocurrencies as a financial asset: A systematic analysis. International Review of Financial Analysis, 62, 182–199. https://doi.org/10.1016/j.irfa.2018.09.003
Corbet, S., McHugh, G., & Meegan, A. (2017). The influence of central bank monetary policy announcements on cryptocurrency return volatility. Investment Management and Financial Innovations, 14(4), 60–72. https://doi.org/10.21511/imfi.14(4).2017.07
Corbet, S., Meegan, A., Larkin, C., Lucey, B., & Yarovaya, L. (2018). Exploring the dynamic relationships between cryptocurrencies and other financial assets. Economics Letters, 165, 28–34. https://doi.org/10.1016/j.econlet.2018.01.004
Coskun, E. A., Lau, C. K. M., & Kahyaoglu, H. (2020). Uncertainty and herding behavior: Evidence from cryptocurrencies. Research in International Business and Finance, 54, Article 101284. https://doi.org/10.1016/j.ribaf.2020.101284
Dabbous, A., Merhej Sayegh, M., & Aoun Barakat, K. (2022). Understanding the adoption of cryptocurrencies for financial transactions within a high-risk context. The Journal of Risk Finance, 23(4), 349–367. https://doi.org/10.1108/JRF-10-2021-0169
Demir, E., Gozgor, G., Lau, C. K. M., & Vigne, S. A. (2018). Does economic policy uncertainty predict the Bitcoin returns? An empirical investigation. Finance Research Letters, 26, 145–149. https://doi.org/10.1016/j.frl.2018.01.005
Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366), 427–431. https://doi.org/10.2307/2286348
Dornbusch, R. (1976). Expectations and exchange rate dynamics. Journal of Political Economy, 84(6), 1161–1176. https://doi.org/10.1086/260506
Dyhrberg, A. H. (2016). Hedging capabilities of bitcoin: Is it the virtual gold? Finance Research Letters, 16, 139–144. https://doi.org/10.1016/j.frl.2015.10.025
Elsayed, A. H., & Sousa, R. M. (2022). International monetary policy and cryptocurrency markets: Dynamic and spillover effects. The European Journal of Finance, 30(16), 1855–1875. https://doi.org/10.1080/1351847X.2022.2068375
Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. https://doi.org/10.2307/1912773
Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. Journal of Finance, 25(2), 383–417. https://doi.org/10.2307/2325486
Fang, L., Bouri, E., Gupta, R., & Roubaud, D. (2019). Does global economic uncertainty matter for the volatility and hedging effectiveness of Bitcoin? International Review of Financial Analysis, 61, 29–36. https://doi.org/10.1016/j.irfa.2018.12.010
Figá-Talamanca, G., & Patacca, M. (2019). Does market attention affect Bitcoin returns and volatility? Decisions in Economics and Finance, 42(1), 135–155. https://doi.org/10.1007/s10203-019-00258-7
Friedman, M. (1968). The role of monetary policy. American Economic Review, 58(1), 1–17.
Godfrey, L. G. (1978). Testing against general autoregressive and moving average error models when the regressors include lagged dependent variables. Econometrica, 46(6), 1293–1301. https://doi.org/10.2307/1913829
Gujarati, D. N., & Porter, D. C. (2009). Basic econometrics (5th ed.). McGraw-Hill.
He, C., Li, Y., Wang, T., & Shah, S. A. (2024). Is cryptocurrency a hedging tool during economic policy uncertainty? An empirical investigation. Humanities and Social Sciences Communications, 11(1), 1–12. https://doi.org/10.1057/s41599-023-02532-x
Hull, J. C. (2012). Options, futures, and other derivatives (8th ed.). Pearson.
İşcan, H. (2020). Bitcoin ile finansal makro değişkenler arasındaki ilişki: Türkiye üzerine bir VAR analizi [The relationship between Bitcoin and financial macro variables: A VAR analysis on Turkey]. Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi, 8, 107–118. https://doi.org/10.18506/anemon.670329
Iyer, R. (2023). New evidence on spillovers between crypto assets and financial markets (IMF Working Paper No. 2023/213). International Monetary Fund. https://doi.org/10.5089/9798400256622.001
Kang, K., & Lee, S. (2018). Money, cryptocurrency, and monetary policy. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3303595
Kang, K., & Lee, S. (2022). Money, Bitcoin, and monetary policy. Journal of Money, Credit and Banking, 56(1), 225–256. https://doi.org/10.1111/jmcb.12992
Karau, S. (2021). Monetary policy and Bitcoin. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3988527
Koziuk, V. (2022). What do cross-country Bitcoin holdings tell us? Monetary and institutional discontent vs financial development. Investment Management and Financial Innovations, 19(1), 168–185. https://doi.org/10.21511/imfi.19(1).2022.13
Krivoruchko, S., Ponamorenko, V., & Nebera, A. (2018). Central bank policy and cryptocurrencies. Journal of Reviews on Global Economics, 7, 549–561. https://doi.org/10.6000/1929-7092.2018.07.51
Lin, M., Liu, Y., & Sheng, V. N. K. (2025). Analysis of the impact of macroeconomic factors on cryptocurrency returns: Based on quantile regression study. International Review of Economics & Finance, 97, Article 103757. https://doi.org/10.1016/j.iref.2024.103757
Lutz, J. K. T. (2018). Coexistence of cryptocurrencies and central bank issued fiat currencies: A systematic literature review. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3303252
Ma, C., Tian, Y., Hsiao, S., & Deng, L. (2022). Monetary policy shocks and Bitcoin prices. Research in International Business and Finance, 62, Article 101711. https://doi.org/10.1016/j.ribaf.2022.101711
MacKinnon, J. G. (1996). Numerical distribution functions for unit root and cointegration tests. Journal of Applied Econometrics, 11(6), 601–618. https://doi.org/10.1002/(SICI)1099-1255(199611)11:6<601::AID-JAE417>3.0.CO;2-T
Marmora, P. (2022). Does monetary policy fuel bitcoin demand? Event-study evidence from emerging markets. Journal of International Financial Markets, Institutions and Money, 77, Article 101489. https://doi.org/10.1016/j.intfin.2021.101489
Mishkin, F. S. (2001). The transmission mechanism and the role of asset prices in monetary policy, NBER Working Paper, 8617. https://doi.org/10.3386/w8617
Mishkin, F. S. (2016). The economics of money, banking, and financial markets (10th ed.). Pearson.
Mumtaz, M. Z., Smith, Z., & Yoshino, N. (2025). Cryptocurrencies, money demand, and monetary policy. Bulletin of Monetary Economics and Banking, 28(2), 293–312. https://doi.org/10.59091/2460-9196.1722
Narayan, P. K., & Smyth, R. (2005). The residential demand for electricity in Australia: An application of the bounds testing approach to cointegration. Energy Policy, 33(4), 467–474. https://doi.org/10.1016/j.enpol.2003.08.011
Oefele, N., Baur, D. G., & Smales, L. A. (2025). The effect of currency risk on crypto asset utilization in Türkiye. Emerging Markets Review, 65, 101264. https://doi.org/10.1016/j.ememar.2025.101264
Ojaghlou, M., & Demirkale, Ö. (2023). Bitcoin ile borsa endeksleri ve seçili finansal varlıklar arasındaki uzun dönem asimetrik ilişkisi: Kırılgan Beşli ülkeler örneği [Long-term asymmetric relationship between Bitcoin and stock indexes and selected financial assets: The example of Fragile Five countries]. Abant Sosyal Bilimler Dergisi, 23(2), 1046–1065. https://doi.org/10.11616/asbi.1266989
Othman, A. H. A., Alhabshi, S. M., Haron, R., & Noor, A. B. M. (2019). The future of the banking system under the dominance and development of the cryptocurrency industry: Empirical evidence from cointegration analysis. The Journal of Wealth Management, 22(2), 109–127. https://doi.org/10.3905/jwm.2019.1.075
Pelagidis, T., & Kostika, E. (2022). Investigating the role of central banks in the interconnection between financial markets and cryptoassets. Journal of Industrial and Business Economics, 49(3), 481–507. https://doi.org/10.1007/s40812-022-00227-z
Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326. https://doi.org/10.1002/jae.616
Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. https://doi.org/10.2307/2336182
Phochanachan, P., Pirabun, N., Leurcharusmee, S., & Yamaka, W. (2022). Do Bitcoin and traditional financial assets act as an inflation hedge during stable and turbulent markets? Evidence from high cryptocurrency adoption countries. Axioms, 11(7), 339. https://doi.org/10.3390/axioms11070339
Pour Rostami, L. (2024). Swaying to the Fed’s rhythm: Cryptocurrencies and the echoes of monetary policy shocks. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4675403
Sergio, I., & Wedemeier, J. (2025). Global surge: Exploring cryptocurrency adoption with evidence from spatial models. Financial Innovation, 11, Article 96. https://doi.org/10.1186/s40854-025-00765-0
Smales, L. A. (2019). Bitcoin as a safe haven: Is it even worth considering? Finance Research Letters, 30, 385–393. https://doi.org/10.1016/j.frl.2018.11.002
Ssaharti, M. (2022). The impact of crypto currencies on the economy and the financial industry. Journal of Advances in Humanities Research, 1(1), 60–69. https://doi.org/10.56868/jadhur.v1i1.11
Taskinsoy, J. (2019). Bitcoin and Turkey: A good match or a perfect storm? SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3477849
Tobin, J. (1969). A general equilibrium approach to monetary theory. Journal of Money, Credit and Banking, 1(1), 15–29. https://doi.org/10.2307/1991374
Tomić, N., Todorović, V., & Čakajac, B. (2020). The potential effects of cryptocurrencies on monetary policy. The European Journal of Applied Economics, 17(1), 37–48. https://doi.org/10.5937/ejae17-21873
Tosun, T. T., & Uğurlu, E. (2025). The impact of the Fed's monetary policy on cryptocurrencies: Novel policy implications for central banks. Journal of Risk and Financial Management, 18(7), Article 393. https://doi.org/10.3390/jrfm18070393
Umeokwobi, R., Tamuke, E. C. E., Ezie, O., Aigbedion, M., & Vandy, P. S. (2024). Nexus between monetary indicators and Bitcoin in selected Sub-Saharan Africa: A panel ARDL. Theoretical and Practical Research in Economic Fields, 15(3), 742–753. https://doi.org/10.14505/tpref.v15.3(31).18
Verma, S., & Atri, R. (2024). Cryptocurrency adoption and financial innovation. International Journal of Advanced Research in Science, Communication and Technology, 4(2), 560–564. https://doi.org/10.48175/IJARSCT-17085
Whaley, R. E. (2000). The investor fear gauge. The Journal of Portfolio Management, 26(3), 12–17. https://doi.org/10.3905/jpm.2000.319728
White, H. (1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica, 48(4), 817–838. https://doi.org/10.2307/1912934
Wooldridge, J. M. (2013). Introductory econometrics: A modern approach (5th ed.). South-Western Cengage Learning.
Zhao, Y., Zhang, M., Pei, Z., & Nan, J. (2023). The effects of quantitative easing on Bitcoin prices. Finance Research Letters, 57, Article 104232. https://doi.org/10.1016/j.frl.2023.104232
Zhou, S. (2019). Exploring the driving forces of the Bitcoin currency exchange rate dynamics: An EGARCH approach. Empirical Economics, 60(2), 557–606. https://doi.org/10.1007/s00181-019-01776-4
Published
2026-06-30
How to Cite
NAZARI, Azatullah; YILMAZ, Ilkay; RAD, Sevgi Tüzün.
The Impact of the Central Bank of Turkey’s Monetary Policies on Cryptocurrency Market Dynamics: An ARDL Model for 2014–2025 Period.
Theoretical and Practical Research in Economic Fields, [S.l.], v. 17, n. 2, p. 368 - 398, june 2026.
ISSN 2068-7710.
Available at: <https://journals.aserspublishing.eu/tpref/article/view/9513>. Date accessed: 02 july 2026.
doi: https://doi.org/10.14505/tpref.v17.2(38).06.
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