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Relationship between cryptocurrencies and West Texas intermediate crude oil returns: Investigation with Granger and Toda Yamamoto causality analyses

Yıl 2025, Cilt: 27 Sayı: 1, 30 - 43

Öz

In this study, the relationship between the first ten cryptocurrency yields and transaction volumes and West Texas Intermediate (WTI) crude oil yields per barrel was tested. Daily data between April 29, 2013 and August 04, 2024 was used for the analysis. Granger and Toda&Yamamoto Causality Analysis were used empirically in the study. According to both analyzes, a negative unidirectional relationship was found between WTI and Bitcoin (BTC). In accordance with Granger causality analysis, a negative bidirectional causality relationship was found between WTI and Ethereum (ETH), and according to Toda Yamamoto causality analysis, a negative bidirectional causality relationship was found between WTI and Filecoin (FIL) yield. The findings revealed the effects of fluctuations in energy prices on global financial stability. In order to minimize the environmental impacts of blockchain technology with sustainability goals in energy markets, international regulations should be developed and holistic policies should be established. These recommendations provide a strategic roadmap for making cryptocurrencies more resilient to volatility originating from energy markets.

Kaynakça

  • Akbulaev, N. ve Abdulhasanov, T. (2024). Analyzing the Connection between Energy Prices and Cryptocurrency thought the Pandemic Period. International Journal of Energy Economics and Policy, 13(1), 227-234. https://doi.org/10.32479/ijeep.13824
  • Al-Yahyaee, K., Mensi, W., Al-Jarrah, I.M.W., Hamdi, A. ve Kang, S.H. (2019). Volatility forecasting, downside risk, and diversification benefits of Bitcoin and oil and international commodity markets: A comparative analysis with yellow metal. North American Journal of Economics and Finance, 49, 104–120. https://doi.org/10.1016/j.najef.2019.04.001 Avşarlıgil, N. (2020). Covid-19 Salgınının Bitcoin ve Diğer Finansal Piyasalar ile İlişkisi Üzerine Bir İnceleme. Alanya Akademik Bakış Dergisi, 4(3), 665-682. https://doi.org/10.29023/alanyaakademik.735214
  • Bouri, E., Shahzad, S.J.H., Roubaud, D. ve Kristoufek, L. (2020). Bitcoin, gold, and commodities as safe havens for stocks:New insight through wavelet analysis. The Quarterly Review of Economics and Finance, 77, 156-164. https://doi.org/10.1016/j.qref.2020.03.004
  • Corbet, S., Katsiampa, P. ve Lau, C.K.M. (2020). Measuring quantile dependence and testing directional predictability between Bitcoin, altcoins and traditional financial assets. International Review of Financial Analysis, 71, 101571. https://doi.org/10.1016/j.irfa.2020.101571
  • Das, D., Le Roux, C.L., Jana, R.K. ve Dutta, A. (2020). Does Bitcoin hedge crude oil implied volatility and structural shocks? A comparison with gold, commodity and the US Dollar. Finance Research Letters, 36, 101335. https://doi.org/10.1016/j.frl.2019.101335
  • Dickey, D.A. ve 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/10.1080/01621459.1979.10482531
  • Dutta, A., Das, D., Jana, R.K. ve Vo, X.V., (2020). COVID-19 and oil market crash: Revisiting the safe haven property of gold and Bitcoin. Resources Policy, 69, 101816. https://doi.org/10.1016/j.resourpol.2020.101816
  • Fettahoğlu, S. ve Kıldize, D. (2019). Dijital Finansal Okuryazarlık ve Bireylerin Finansal Teknoloji Kullanma Konusundaki Tutumları. International Journal of Society Researches, 12(18), 867 - 889. https://doi.org/10.26466/opus.584628
  • Foroutan, P. ve Lahmiri, S. (2024). Connectedness of cryptocurrency markets to crude oil and gold: an analysis of the effect of COVID-19 pandemic. Financial Innovation, 10(68), 1-23. https://doi.org/10.1186/s40854-023-00596-x
  • Fred Economic Data. (2024, 4 Ağustos). Crude Oil Prices: West Texas Intermediate (WTI)-Cushing Oklahama (DCOILWTICO). 5 Ağustos 2024 tarihinde https://fred.stlouisfed.org/series/DCOILWTICO adresinden edinilmiştir.
  • Gajardo, G., Kristjanpoller, W.D. ve Minutolo, M. (2018). Does Bitcoin exhibit the same asymmetric multifractal cross-correlations with crude oil, gold and DJIA as the Euro, Great British Pound and Yen? Chaos, Solitons and Fractals, 109, 195–205. https://doi.org/10.1016/j.chaos.2018.02.029
  • Gkillas, K., Bouri, E., Gupta, R. ve Roubaud, D. (2020). Spillovers in Higher-Order Moments of Crude Oil, Gold, and Bitcoin. The Quarterly Review of Economics and Finance, 84(C), 398-406. https://doi.org/10.1016/j.qref.2020.08.004
  • Granger, C.W.J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424-438. https://doi.org/10.2307/1912791
  • Güler, K. (2019). Uluslararası Ticaretin Dijitalleşmesi ve Sanayi Akımlarının Etkisi: Endüstri 4.0 Devrimi Üzerine Bir Araştırma [Doktora Tezi]. İstanbul Ticaret Üniversitesi.
  • Ha, L.T. (2022). Fat tails and network interlinkages of crude oil and cryptocurrencyduring the COVID-19 health crisis. Journal of Economic Studies, 50(5), 1087-1104. https://doi.org/10.1108/JES-03-2022-0144
  • Ha, L.T. ve Nham, N.T.H. (2022). An application of a TVP-VAR extended joint connected approach to explore connectedness between WTI crude oil, gold, stock and cryptocurrencies during the COVID-19 health crisis. Technological Forecasting and Social Change, Elsevier 183(C), 121909. https://doi.org/ 10.1016/j.techfore.2022.121909
  • Jin, J., Yu, J., Hu, Y. ve Shang, Y. (2019). Which one is more informative in determining price movements of hedging assets? Evidence from Bitcoin, gold and crıde oil markets. Physica A: Statistical Mechanics and its Applications, 527, 121121. https://doi.org/10.1016/j.physa.2019.121121
  • Kwiatkowski, D., Phillips, P.C.B., Schmidt, P. ve Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root. Journal of Econometrics, 54, 159-178. http://dx.doi.org/10.1016/0304-4076(92)90104-Y
  • Maghyereh, A. ve Abdoh, H. (2020). Tail dependence between Bitcoin and financial assets: Evidence from a quantile cross-spectral approach. International Review of Financial Analysis, 71, 101545. https://doi.org/10.1016/j.irfa.2020.101545
  • Okorie, D.I. ve Lin, B. (2020). Crude oil price and cryptocurrencies: Evidence of volatility connectedness and hedging strategy. Energy Economics, 87, 104703. https://doi.org/10.1016/j.eneco.2020.104703
  • Öztürk, M.B., Arslan, H., Kayhan, T. ve Uysal, M. (2018). Yeni bir hedge enstrümanı olarak Bitcoin: Bitconomi. Ömer Halisdemir Üniversitesi İktisadi ve idari Bilimler Fakültesi Dergisi, 11(2), 217-232. https://doi.org/10.25287/ohuiibf.415713
  • Perron, P. (1989). The great crash, the oil price shock, and the unit root hypothesis. Econometrica, 57(6), 1361–1401. https://doi.org/10.2307/1913712
  • Rehman, M.U. ve Kang, S.H. (2020). A time–frequency comovement and causality relationship between Bitcoin hashrate and energy commodity markets. Global Finance Journal, 49(2), 100576. https://doi.org/10.1016/j.gfj.2020.100576
  • Selmi, R., Mensi, W., Hammoudeh, S. ve Bouoiyour, J. (2018). Is Bitcoin a hedge, a safe haven or a diversifier for oil price movements? A comparison with gold. Energy Economics, 74, 787-801. https://doi.org/10.1016/j.eneco.2018.07.007
  • Su, C-W., Qin, M., Tao, R. ve Umar, M. (2020). Financial implications of fourth industrial revolution: Can bitcoin improve prospects of energy investment? Technological Forecasting and Social Change, Elsevier, 158(C), 120178. https://doi.org/ 10.1016/j.techfore.2020.120178
  • Symitsi, E. ve Chalvatzis, J.K. (2018). The Economic Value of Bitcoin: A Portfolio Analysis of Currencies, Gold, Oil and Stocks. Research in International Business and Finance, Elsevier, 48(C), 97-110. https://doi.org/10.1016/j.ribaf.2018.12.001
  • Toda, H.Y. ve Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1-2), 225-250. https://doi.org/10.1016/0304-4076(94)01616-8
  • Urom, C., Abid, I., Guesmi, K. ve Chevallier, J. (2020). Quantile spillovers and dependence between Bitcoin, equities and strategic commodities. Economic Modelling, 93(C), 230 - 258. https://doi.org/10.1016/j.econmod.2020.07.012
  • Van Wijk, D. (2013). What can be expected from the BitCoin. Erasmus Universiteit Rotterdam Working Paper 345986, Erasmus University, Rotterdam, Netherlands.
  • Wang, J., Xue, Y. ve Liu, M. (2016). An Analysis of Bitcoin Price Based on VEC Model [Bildiri sunumu]. In 2016 International Conference on Economics and Management Innovations. Atlantis Press. https://doi.org/10.2991/icemi-16.2016.36
  • Yahoo Finance. (2024, 4 Ağustos). Crypto. 5 Ağustos 2024 tarihinde https://finance.yahoo.com/markets/crypto/all/ adresinden edinilmiştir.
  • Zeng, T., Yang, M. ve Shen, Y. (2020). Fancy Bitcoin and conventional financial assets: Measuring market integration based on connectedness networks. Economic Modelling, 90, 209–220. https://doi.org/10.1016/j.econmod.2020.05.003

Kripto paralar ve Batı Teksas ham petrol getirisi ilişkisi: Granger ve Toda Yamamoto nedensellik analizleri ile incelenmesi

Yıl 2025, Cilt: 27 Sayı: 1, 30 - 43

Öz

Bu çalışmada ortaya ilk çıkarılan on kripto para getiri ve işlem hacimleri ile birlikte varil başına Batı Teksas (WTI) ham petrol getirileri arasındaki ilişki test edilmiştir. Analiz için 29 Nisan 2013 – 04 Ağustos 2024 arası günlük veriler kullanılmıştır. Çalışmada ampirik olarak Granger ve Toda Yamamoto Nedensellik Analizi' nden yararlanılmıştır. Her iki analize göre WTI ile Bitcoin (BTC) arasında negatif tek yönlü ilişkiye rastlanmıştır. Granger nedensellik analizine göre WTI ile Ethereum (ETH) arasında, Toda Yamamoto nedensellik analizine göre ise WTI ile Filecoin (FIL) getirisi arasında negatif çift yönlü bir nedensellik ilişkisi olduğu sonucuna ulaşılmıştır. Elde edilen bulgular enerji fiyatlarında yaşanan dalgalanmaların küresel finansal istikrara etkilerini ortaya koymuştur. Enerji piyasalarındaki sürdürülebilirlik hedefleri ile blok zinciri teknolojisinin çevresel etkilerini en aza indirgemek için uluslararası regülasyonların geliştirilmesi ve bütüncül politikalar oluşturulması gerekmektedir. Bu öneriler kripto para birimlerinin, enerji piyasalarından kaynaklanan volatiliteye karşı daha dayanıklı hale getirilmesi için stratejik bir yol haritası sunmaktadır.

Kaynakça

  • Akbulaev, N. ve Abdulhasanov, T. (2024). Analyzing the Connection between Energy Prices and Cryptocurrency thought the Pandemic Period. International Journal of Energy Economics and Policy, 13(1), 227-234. https://doi.org/10.32479/ijeep.13824
  • Al-Yahyaee, K., Mensi, W., Al-Jarrah, I.M.W., Hamdi, A. ve Kang, S.H. (2019). Volatility forecasting, downside risk, and diversification benefits of Bitcoin and oil and international commodity markets: A comparative analysis with yellow metal. North American Journal of Economics and Finance, 49, 104–120. https://doi.org/10.1016/j.najef.2019.04.001 Avşarlıgil, N. (2020). Covid-19 Salgınının Bitcoin ve Diğer Finansal Piyasalar ile İlişkisi Üzerine Bir İnceleme. Alanya Akademik Bakış Dergisi, 4(3), 665-682. https://doi.org/10.29023/alanyaakademik.735214
  • Bouri, E., Shahzad, S.J.H., Roubaud, D. ve Kristoufek, L. (2020). Bitcoin, gold, and commodities as safe havens for stocks:New insight through wavelet analysis. The Quarterly Review of Economics and Finance, 77, 156-164. https://doi.org/10.1016/j.qref.2020.03.004
  • Corbet, S., Katsiampa, P. ve Lau, C.K.M. (2020). Measuring quantile dependence and testing directional predictability between Bitcoin, altcoins and traditional financial assets. International Review of Financial Analysis, 71, 101571. https://doi.org/10.1016/j.irfa.2020.101571
  • Das, D., Le Roux, C.L., Jana, R.K. ve Dutta, A. (2020). Does Bitcoin hedge crude oil implied volatility and structural shocks? A comparison with gold, commodity and the US Dollar. Finance Research Letters, 36, 101335. https://doi.org/10.1016/j.frl.2019.101335
  • Dickey, D.A. ve 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/10.1080/01621459.1979.10482531
  • Dutta, A., Das, D., Jana, R.K. ve Vo, X.V., (2020). COVID-19 and oil market crash: Revisiting the safe haven property of gold and Bitcoin. Resources Policy, 69, 101816. https://doi.org/10.1016/j.resourpol.2020.101816
  • Fettahoğlu, S. ve Kıldize, D. (2019). Dijital Finansal Okuryazarlık ve Bireylerin Finansal Teknoloji Kullanma Konusundaki Tutumları. International Journal of Society Researches, 12(18), 867 - 889. https://doi.org/10.26466/opus.584628
  • Foroutan, P. ve Lahmiri, S. (2024). Connectedness of cryptocurrency markets to crude oil and gold: an analysis of the effect of COVID-19 pandemic. Financial Innovation, 10(68), 1-23. https://doi.org/10.1186/s40854-023-00596-x
  • Fred Economic Data. (2024, 4 Ağustos). Crude Oil Prices: West Texas Intermediate (WTI)-Cushing Oklahama (DCOILWTICO). 5 Ağustos 2024 tarihinde https://fred.stlouisfed.org/series/DCOILWTICO adresinden edinilmiştir.
  • Gajardo, G., Kristjanpoller, W.D. ve Minutolo, M. (2018). Does Bitcoin exhibit the same asymmetric multifractal cross-correlations with crude oil, gold and DJIA as the Euro, Great British Pound and Yen? Chaos, Solitons and Fractals, 109, 195–205. https://doi.org/10.1016/j.chaos.2018.02.029
  • Gkillas, K., Bouri, E., Gupta, R. ve Roubaud, D. (2020). Spillovers in Higher-Order Moments of Crude Oil, Gold, and Bitcoin. The Quarterly Review of Economics and Finance, 84(C), 398-406. https://doi.org/10.1016/j.qref.2020.08.004
  • Granger, C.W.J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424-438. https://doi.org/10.2307/1912791
  • Güler, K. (2019). Uluslararası Ticaretin Dijitalleşmesi ve Sanayi Akımlarının Etkisi: Endüstri 4.0 Devrimi Üzerine Bir Araştırma [Doktora Tezi]. İstanbul Ticaret Üniversitesi.
  • Ha, L.T. (2022). Fat tails and network interlinkages of crude oil and cryptocurrencyduring the COVID-19 health crisis. Journal of Economic Studies, 50(5), 1087-1104. https://doi.org/10.1108/JES-03-2022-0144
  • Ha, L.T. ve Nham, N.T.H. (2022). An application of a TVP-VAR extended joint connected approach to explore connectedness between WTI crude oil, gold, stock and cryptocurrencies during the COVID-19 health crisis. Technological Forecasting and Social Change, Elsevier 183(C), 121909. https://doi.org/ 10.1016/j.techfore.2022.121909
  • Jin, J., Yu, J., Hu, Y. ve Shang, Y. (2019). Which one is more informative in determining price movements of hedging assets? Evidence from Bitcoin, gold and crıde oil markets. Physica A: Statistical Mechanics and its Applications, 527, 121121. https://doi.org/10.1016/j.physa.2019.121121
  • Kwiatkowski, D., Phillips, P.C.B., Schmidt, P. ve Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root. Journal of Econometrics, 54, 159-178. http://dx.doi.org/10.1016/0304-4076(92)90104-Y
  • Maghyereh, A. ve Abdoh, H. (2020). Tail dependence between Bitcoin and financial assets: Evidence from a quantile cross-spectral approach. International Review of Financial Analysis, 71, 101545. https://doi.org/10.1016/j.irfa.2020.101545
  • Okorie, D.I. ve Lin, B. (2020). Crude oil price and cryptocurrencies: Evidence of volatility connectedness and hedging strategy. Energy Economics, 87, 104703. https://doi.org/10.1016/j.eneco.2020.104703
  • Öztürk, M.B., Arslan, H., Kayhan, T. ve Uysal, M. (2018). Yeni bir hedge enstrümanı olarak Bitcoin: Bitconomi. Ömer Halisdemir Üniversitesi İktisadi ve idari Bilimler Fakültesi Dergisi, 11(2), 217-232. https://doi.org/10.25287/ohuiibf.415713
  • Perron, P. (1989). The great crash, the oil price shock, and the unit root hypothesis. Econometrica, 57(6), 1361–1401. https://doi.org/10.2307/1913712
  • Rehman, M.U. ve Kang, S.H. (2020). A time–frequency comovement and causality relationship between Bitcoin hashrate and energy commodity markets. Global Finance Journal, 49(2), 100576. https://doi.org/10.1016/j.gfj.2020.100576
  • Selmi, R., Mensi, W., Hammoudeh, S. ve Bouoiyour, J. (2018). Is Bitcoin a hedge, a safe haven or a diversifier for oil price movements? A comparison with gold. Energy Economics, 74, 787-801. https://doi.org/10.1016/j.eneco.2018.07.007
  • Su, C-W., Qin, M., Tao, R. ve Umar, M. (2020). Financial implications of fourth industrial revolution: Can bitcoin improve prospects of energy investment? Technological Forecasting and Social Change, Elsevier, 158(C), 120178. https://doi.org/ 10.1016/j.techfore.2020.120178
  • Symitsi, E. ve Chalvatzis, J.K. (2018). The Economic Value of Bitcoin: A Portfolio Analysis of Currencies, Gold, Oil and Stocks. Research in International Business and Finance, Elsevier, 48(C), 97-110. https://doi.org/10.1016/j.ribaf.2018.12.001
  • Toda, H.Y. ve Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1-2), 225-250. https://doi.org/10.1016/0304-4076(94)01616-8
  • Urom, C., Abid, I., Guesmi, K. ve Chevallier, J. (2020). Quantile spillovers and dependence between Bitcoin, equities and strategic commodities. Economic Modelling, 93(C), 230 - 258. https://doi.org/10.1016/j.econmod.2020.07.012
  • Van Wijk, D. (2013). What can be expected from the BitCoin. Erasmus Universiteit Rotterdam Working Paper 345986, Erasmus University, Rotterdam, Netherlands.
  • Wang, J., Xue, Y. ve Liu, M. (2016). An Analysis of Bitcoin Price Based on VEC Model [Bildiri sunumu]. In 2016 International Conference on Economics and Management Innovations. Atlantis Press. https://doi.org/10.2991/icemi-16.2016.36
  • Yahoo Finance. (2024, 4 Ağustos). Crypto. 5 Ağustos 2024 tarihinde https://finance.yahoo.com/markets/crypto/all/ adresinden edinilmiştir.
  • Zeng, T., Yang, M. ve Shen, Y. (2020). Fancy Bitcoin and conventional financial assets: Measuring market integration based on connectedness networks. Economic Modelling, 90, 209–220. https://doi.org/10.1016/j.econmod.2020.05.003
Toplam 32 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Finans
Bölüm Araştırma Makaleleri
Yazarlar

Figen Aldı 0000-0002-8583-1705

İlhan Küçükkaplan 0000-0001-6926-3659

Eyyüp Ensari Şahin 0000-0003-2110-7571

Erken Görünüm Tarihi 8 Şubat 2025
Yayımlanma Tarihi
Gönderilme Tarihi 11 Aralık 2024
Kabul Tarihi 19 Ocak 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 27 Sayı: 1

Kaynak Göster

APA Aldı, F., Küçükkaplan, İ., & Şahin, E. E. (2025). Kripto paralar ve Batı Teksas ham petrol getirisi ilişkisi: Granger ve Toda Yamamoto nedensellik analizleri ile incelenmesi. Afyon Kocatepe Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 27(1), 30-43. https://doi.org/10.33707/akuiibfd.1599850