BITCOIN SPEKÜLATİF FİYAT BALONUNUN VARLIĞININ TESTİ

Kripto para birimlerinin gelişimi, paranın ekonomik fonksiyonlarına ve temellerine de meydan okuduğundan merkez bankaları için en önemli gündem maddelerinden biri haline gelmiştir. Bu çalışmada, bir varlığın fiyatında balon oluşup oluşmadığını ve oluşumunun tarihi sırasını saptamada kullanılabilecek en uygun istatistiki modellerden Augmented Dickey-Fuller birim kök testinin Phillips ve arkadaşları tarafından 2011 ve 2015 yıllarında geliştirilen iki versiyonu uygulanmıştır. Sonuçlarımız Bitcoin`in fiyatındaki spekülatif balonun varlığını doğrulamaktadır. Ayrıca, Bitcoin`in getirisinin potansiyel dinamiklerini araştırmak amacıyla da genelleştirilmiş momentler yöntemi (GMM) kullanılmıştır. Sonuçlarımız, Bitcoin`in getirisinin kısa vadede Chicago Opsiyon Borsası (CBOE) Volatilite endeksi, CBOE S&P 500 3-aylık Volatilite Endeksi ve 12-aylık Euribor oranı ile kuvvetli bir ilişki içinde olduğunu göstermektedir. Bu nedenle, finansal hizmetlerdeki teknolojik gelişmeler için tutarlı ve sürekli gelişen teknolojik koşulları takip edebilecek bir yaklaşım içinde etkili bir düzenleyici çerçeve oluşturulmasının kaçınılmaz olduğunu düşünmekteyiz.

TESTING FOR THE PRESENCE OF SPECULATIVE PRICE BUBBLES IN BITCOIN

The evolution of cryptocurrencies has become one of the most pressing issues for central banks as it challenges the economic functions and foundations of money. In this paper, we use recently developed right-tailed unit root tests, designed to detect the presence of a bubble component in an asset’s price and to date-stamp its occurrence. Our results confirm the presence of speculative bubble in bitcoin’s price. In addition, we use the generalized method of moments (GMM) framework to investigate the potential drivers of bitcoin returns. Our results suggest that bitcoin returns are significantly associated in the shortrun with the CBOE Volatility Index, the CBOE S&P 500 3-month Volatility Index and the 12-month Euribor rate. We posit that technological advances in financial services would require an effective regulatory framework that needs to be consistent, but also embrace evolving technologies.

___

  • Baek, C. and Elbeck, M., (2014), Bitcoins as an investment or speculative vehicle? A first look, Applied Economic Letters, 22(1), pp. 30-34.
  • Balcilar, M., Bouri, E., Gupta, R. and Roubaud, D. (2017) Can volume predict Bitcoin returns and volatility? A quantiles-based approach, Economic Modelling, 64, pp. 74-81.
  • Blau, B.M. (2017) Price dynamics and speculative trading in bitcoin, Research in International Business and Finance, 41, pp. 493-499.
  • Bouoiyour, J. and Selmi, R., (2015 /a), What Does Bitcoin Look Like?, Annals of Economics and Finance, 16(2), pp. 449-492.
  • Bouoiyour, J., Selmi, R. and Tiwari, A.K., (2015 /b), Is bitcoin business income or speculative foolery? New ideas through an improved frequency domain analysis, Annals of Financial Economics, 10(1).
  • Carstens, A., (2018), Money in the digital age: what role for central banks?, Lecture at the House of Finance, Goethe University, Frankfurt, 6 February 2018.
  • Cheah, E-T. and Fry, J., (2015), Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin, Economic Letters, 130, pp. 32-36.
  • Cochrane, J.H., (2005), Asset pricing, New Jersey: Princeton University Press. Fantazzini, D., Nigmatullin, E., Sukhanovskaya, V. and Ivliev, S., (2016), Everything You Always Wanted to Know About Bitcoin Modelling But Were Afraid to Ask, Applied Econometrics, 44, pp. 5-24.
  • Gomez-Gonzalez, J.E. and Parra-Polania, J.A., (2014), Bitcoin: something seems to be ‘fundamentally’ wrong, Bank of Colombia Working Paper.
  • IIF, (2018), 2018: Ten Big Questions, The Institute of International Finance.
  • Katsiampa, P. (2017), Volatility estimation for Bitcoin: a comparison of GARCH models, Economics Letters, 158, pp. 3-6.
  • Kindleberger, C., (1973), The World in Depression, 1929-1939, Berkeley: University of California Press.
  • Kindleberger, C., (1978), Manias, Panics and Crashes: A History of Financial Crises. New York: Basic Books.
  • MacDonell, A., (2014), Popping the Bitcoin Bubble: An application of log-periodic power law modeling to digital currency, Preprint.
  • Malhotra, A. and Maloo, M., (2014), Bitcoin – Is it a Bubble? Evidence from Unit Root Tests (March 1, 2014). Available at: https://ssrn.com/abstract=2465891.
  • Minsky, H.P., (1986), Stabilizing an Unstable Economy. Hyman P. Minsky Archive. Paper 144. http://digitalcommons.bard.edu/hm_archive/144
  • Minsky, H.P., (1992), The Financial Instability Hypothesis. The Jerome Levy Economics Institute of Bard College, Working paper 72, May 1992.
  • Phillips, P., and Magdalinos, T., (2007), Limit theory for moderate deviations from a unit root. Journal of Econometrics, 136(1), pp. 115–130.
  • Phillips, P., Wu, Y., and Yu, J., (2011), Explosive behaviour in the 1990s NASDAQ: when did exuberance escalate asset values? International Economic Review, 52(1), pp. 201–226.
  • Phillips, P., Shi, S., and Yu, J., (2015), Testing for multiple bubbles: historical episodes of exuberance and collapse in the S&P 500. International Economic Review, 56(4), pp. 1043–1077.
  • Polasik, M., Piotrowska, A., Wisniewski, T.P., Kotkowski, R. and Lightfoot, G., (2015), Price Fluctuations and the Use of Bitcoin: An Empirical Inquiry. International Journal of Electronic Commerce 20(1), pp. 9-49.
  • Sornette, D. and Cauwels, P., (2014), Financial bubbles: mechanisms and diagnostics. Swiss Finance Institute Research Paper Series N°14-28.
  • Yermack. D., (2014), Is Bitcoin a Real Currency? An economic appraisal. NBER Working Paper No. 19747.
  • Zhu, Y., Dickinson, D. and Jianjun, L. (2017), Analysis on the influence factors of Bitcoin’s price based on VEC model. Financial Innovation, 3(3).
Istanbul Ticaret Üniversitesi Sosyal Bilimler Dergisi-Cover
  • ISSN: 1303-5495
  • Yayın Aralığı: Yılda 3 Sayı
  • Yayıncı: İstanbul Ticaret Üniversitesi