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2019 | OriginalPaper | Buchkapitel

15. Empirical Evidence of the Relationships Between Bitcoin and Stock Exchanges: Case of Return and Volatility Spillover

verfasst von : M. Kamisli, S. Kamisli, F. Temizel

Erschienen in: Blockchain Economics and Financial Market Innovation

Verlag: Springer International Publishing

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Abstract

Especially with the sharp increase in the trading volume of Bitcoin, researchers have focused on the topic of cryptocurrencies. Besides the high risks they carry, these vehicles give investors the opportunity of gaining high returns. For this reason, many investors consider cryptocurrencies as an investment vehicle and include them into their portfolios, notably Bitcoin. Bitcoin is a new alternative for investors who desire to invest in different assets besides traditional ones. This new investment vehicle is also used for portfolio diversification. But, to provide the desired benefits, the relationships between the bitcoin and asset or assets that will be included in the portfolio. Therefore, the purpose of this study is to analyze the return and volatility relationships between Bitcoin and stock markets from different regions. For this purpose, Diebold and Yilmaz spillover test are applied to the return series. The empirical results indicate both return and volatility spillovers between the Bitcoin and the selected stock markets that should be considered in portfolio and risk management processes.

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Andrianto, Y., & Diputra, Y. (2017). The effect of cryptocurrency on investment portfolio effectiveness. Journal of Finance and Accounting, 5(6), 229–238. https://doi.org/10.11648/j.jfa.20170506.14CrossRef

Antonakakis, N. (2012). Exchange return co-movements and volatility spillovers before and after the introduction of euro. Journal of International Financial Markets, Institutions and Money, 22(5), 1091–1109. https://doi.org/10.1016/j.intfin.2012.05.009CrossRef

Awartani, B., Maghyereh, A. I., & Al Shiab, M. (2013). Directional spillovers from the US and the Saudi market to equities in the Gulf Cooperation Council countries. Journal of International Financial Markets, Institutions and Money, 27, 224–242. https://doi.org/10.1016/j.intfin.2013.08.002CrossRef

Baek, C., & Elbeck, M. (2015). Bitcoins as an investment or speculative vehicle? A first look. Applied Economics Letters, 22(1), 30–34. https://doi.org/10.1080/13504851.2014.916379CrossRef

Bariviera, A. F. (2017). The inefficiency of Bitcoin revisited: A dynamic approach. Economics Letters, 161, 1–4. https://doi.org/10.1016/j.econlet.2017.09.013CrossRef

Bariviera, A. F., Basgall, M. J., Hasperué, W., & Naiouf, M. (2017). Some stylized facts of the Bitcoin market. Physica A: Statistical Mechanics and its Applications, 484, 82–90. https://doi.org/10.1016/j.physa.2017.04.159CrossRef

Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327. https://doi.org/10.1016/0304-4076(86)90063-1CrossRef

Bouoiyour, J., & Selmi, R. (2016). Bitcoin: A beginning of a new phase. Economics Bulletin, 36(3), 1430–1440.

Bouoiyour, J., Selmi, R., Tiwari, A. K., & Olayeni, O. R. (2016). What drives Bitcoin price? Economics Bulletin, 36(2), 843–850.

Bouri, E., Azzi, G., & Dyhrberg, H. (2017). On the return-volatility relationship in the Bitcoin market around the price crash of 2013. Economics-The Open-Access, Open-Assessment E-Journal, 11, 1–16. https://doi.org/10.5018/economics-ejournal.ja.2017-2CrossRef

Bouri, E., Gupta, R., Tiwari, A. K., & Roubaud, D. (2017). Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions. Finance Research Letters, 23, 87–95. https://doi.org/10.1016/j.frl.2017.02.009CrossRef

Carpenter, A. (2016). Portfolio diversification with Bitcoin. Journal of Undergraduate Research in Finance, 6(1), 1–27.

Chan, W. H., Le, M., & Wu, Y. W. (2019). Holding Bitcoin longer: The dynamic hedging abilities of Bitcoin. The Quarterly Review of Economics and Finance, 71, 107–113. https://doi.org/10.1016/j.qref.2018.07.004CrossRef

Cheah, E. T., & Fry, J. (2015). Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin. Economics Letters, 130, 32–36. https://doi.org/10.1016/j.econlet.2015.02.029CrossRef

Cheung, A., Roca, E., & Su, J. J. (2015). Crypto-currency bubbles: An application of the Phillips–Shi–Yu (2013) methodology on Mt. Gox bitcoin prices. Applied Economics, 47(23), 2348–2358. https://doi.org/10.1080/00036846.2015.1005827CrossRef

Chevallier, J., & Ielpo, F. (2013). Volatility spillovers in commodity markets. Applied Economics Letters, 20(13), 1211–1227. https://doi.org/10.1080/13504851.2013.799748CrossRef

Ciaian, P., Rajcaniova, M., & Kancs, D. A. (2016). The economics of Bitcoin price formation. Applied Economics, 48(19), 1799–1815. https://doi.org/10.1080/00036846.2015.1109038CrossRef

Corbet, S., Lucey, B., & Yarovaya, L. (2018). Datestamping the Bitcoin and Ethereum bubbles. Finance Research Letters, 26, 81–88. https://doi.org/10.1016/j.frl.2017.12.006CrossRef

Cronin, D. (2014). The interaction between money and asset markets: A spillover index approach. Journal of Macroeconomics, 39, 185–202. https://doi.org/10.1016/j.jmacro.2013.09.006CrossRef

Diebold, F. X., & Yilmaz, K. (2009). Measuring financial asset return and volatility spillovers, with application to global equity markets. The Economic Journal, 119(534), 158–171. https://doi.org/10.1111/j.1468-0297.2008.02208.xCrossRef

Diebold, F. X., & Yilmaz, K. (2012). Better to give than to receive: Predictive directional measurement of volatility spillovers. International Journal of Forecasting, 28(1), 57–66. https://doi.org/10.1016/j.ijforecast.2011.02.006CrossRef

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.2015.10.025CrossRef

Engle, R. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 391–407. https://doi.org/10.2307/1912773CrossRef

Fry, J., & Cheah, E. T. (2016). Negative bubbles and shocks in cryptocurrency markets. International Review of Financial Analysis, 47, 343–352. https://doi.org/10.1016/j.irfa.2016.02.008CrossRef

Hameed, S., & Farooq, S. (2016). The art of crypto currencies: A comprehensive analysis of popular crypto currencies. International Journal of Advanced Computer Science and Applications, 7(12), 426–435. https://doi.org/10.14569/IJACSA.2016.071255CrossRef

Kajtazi, A., & Moro, A. (2018). The role of bitcoin in well diversified portfolios: A comparative global study. International Review of Financial Analysis.https://doi.org/10.1016/j.irfa.2018.10.003CrossRef

Katsiampa, P. (2017). Volatility estimation for Bitcoin: A comparison of GARCH models. Economics Letters, 158, 3–6. https://doi.org/10.1016/j.econlet.2017.06.023CrossRef

Kristoufek, L. (2015). What are the main drivers of the bitcoin price? Evidence from wavelet coherence analysis. PLoS One, 10(4), 1–15. https://doi.org/10.1371/journal.pone.0123923CrossRef

Kristoufek, L. (2018). On Bitcoin markets (in)efficiency and its evolution. Physica A: Statistical Mechanics and its Applications, 503, 257–262. https://doi.org/10.1016/j.physa.2018.02.161CrossRef

Lee, H. C., & Chang, S. L. (2013). Spillovers of currency carry trade returns, market risk sentiment, and US market returns. The North American Journal of Economics and Finance, 26, 197–216. https://doi.org/10.1016/j.najef.2013.10.001CrossRef

Lucey, B. M., Larkin, C., & O’Connor, F. (2014). Gold markets around the world—who spills over what, to whom, when? Applied Economics Letters, 21(13), 887–892. https://doi.org/10.1080/13504851.2014.896974CrossRef

Maghyereh, A. I., & Awartani, B. (2016). Dynamic transmissions between Sukuk and bond markets. Research in International Business and Finance, 38, 246–261. https://doi.org/10.1016/j.ribaf.2016.04.016CrossRef

Maghyereh, A. I., Awartani, B., & Bouri, E. (2016). The directional volatility connectedness between crude oil and equity markets: New evidence from implied volatility indexes. Energy Economics, 57, 78–93. https://doi.org/10.1016/j.eneco.2016.04.010CrossRef

Nadarajah, S., & Chu, J. (2017). On the inefficiency of Bitcoin. Economics Letters, 150, 6–9. https://doi.org/10.1016/j.econlet.2016.10.033CrossRef

Narayan, P. K., Narayan, S., & Prabheesh, K. P. (2014). Stock returns, mutual fund flows and spillover shocks. Pacific-Basin Finance Journal, 29, 146–162. https://doi.org/10.1016/j.pacfin.2014.03.007CrossRef

Öztürk, M. B., Arslan, H., Kayhan, T., & Uysal, M. (2018). Bitcoin as a new hedge instrument tool: Bitconomy. Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 11(2), 217–232. https://doi.org/10.25287/ohuiibf.415713CrossRef

Phillips, R. C., & Gorse, D. (2018). Cryptocurrency price drivers: Wavelet coherence analysis revisited. PLoS One, 13(4), 1–21. https://doi.org/10.1371/journal.pone.0195200CrossRef

Pichl, L., & Kaizoji, T. (2017). Volatility analysis of Bitcoin price time series. Quantitative Finance and Economics, 1(4), 474–485. https://doi.org/10.3934/QFE.2017.4.474CrossRef

Sehgal, S., Ahmad, W., & Deisting, F. (2015). An investigation of price discovery and volatility spillovers in India’s foreign exchange market. Journal of Economic Studies, 42(2), 261–284. https://doi.org/10.1108/JES-11-2012-0157CrossRef

Sugimoto, K., Matsuki, T., & Yoshida, Y. (2014). The global financial crisis: An analysis of the spillover effects on African stock markets. Emerging Markets Review, 21, 201–233. https://doi.org/10.1016/j.ememar.2014.09.004CrossRef

Tsai, I. C. (2014). Spillover of fear: Evidence from the stock markets of five developed countries. International Review of Financial Analysis, 33, 281–288. https://doi.org/10.1016/j.irfa.2014.03.007CrossRef

Teichmann, F. M. J. (2018). Financing terrorism through cryptocurrencies—a danger for Europe? Journal of Money Laundering Control, 21(4), 513–519. https://doi.org/10.1108/JMLC-06-2017-0024CrossRef

Tiwari, A. K., Jana, R. K., Das, D., & Roubaud, D. (2018). Informational efficiency of Bitcoin—An extension. Economics Letters, 163, 106–109. https://doi.org/10.1016/j.econlet.2017.12.006CrossRef

Urquhart, A. (2016). The inefficiency of Bitcoin. Economics Letters, 148, 80–82. https://doi.org/10.1016/j.econlet.2016.09.019CrossRef

Urquhart, A., & Zhang, H. (2019). Is Bitcoin a hedge or safe haven for currencies? An intraday analysis. International Review of Financial Analysis.https://doi.org/10.1016/j.irfa.2019.02.009CrossRef

Yarovaya, L., Brzeszczyński, J., & Lau, C. K. M. (2016). Intra-and inter-regional return and volatility spillovers across emerging and developed markets: Evidence from stock indices and stock index futures. International Review of Financial Analysis, 43, 96–114. https://doi.org/10.1016/j.irfa.2015.09.004CrossRef

Titel: Empirical Evidence of the Relationships Between Bitcoin and Stock Exchanges: Case of Return and Volatility Spillover
verfasst von: M. Kamisli
S. Kamisli
F. Temizel
Verlag: Springer International Publishing
Buch: Blockchain Economics and Financial Market Innovation
Print ISBN: 978-3-030-25274-8

Electronic ISBN: 978-3-030-25275-5

Copyright-Jahr: 2019
DOI: https://doi.org/10.1007/978-3-030-25275-5_15