Bitcoin in the Scientific Literature – A Bibliometric Study

Alvarez-Ramirez, J., Rodriguez, E., & Ibarra-Valdez, C. (2018). Long-range correlations and asymmetry in the Bitcoin market. Physica a-Statistical Mechanics and Its Applications, 492, 948-955. doi:10.1016/j.physa.2017.11.02510.1016/j.physa.2017.11.025Open DOISearch in Google Scholar

Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975. doi:10.1016/j.joi.2017.08.00710.1016/j.joi.2017.08.007Open DOISearch in Google Scholar

Balcilar, M., Bouri, E., Gupta, R., & Roubaud, D. (2017). Can volume predict Bitcoin returns and volatility? A quantiles-based approach. Economic Modelling, 64, 74-81. doi:10.1016/j.econmod.2017.03.01910.1016/j.econmod.2017.03.019Open DOISearch in Google Scholar

Bariviera, A. F. (2017). The inefficiency of Bitcoin revisited: A dynamic approach. Economics Letters, 161, 1-4. doi:10.1016/j.econlet.2017.09.01310.1016/j.econlet.2017.09.013Open DOISearch in Google Scholar

Bariviera, A. F., Basgall, M. J., Hasperue, W., & Naiouf, M. (2017). Some stylized facts of the Bitcoin market. Physica a-Statistical Mechanics and Its Applications, 484, 82-90. doi:10.1016/j.physa.2017.04.15910.1016/j.physa.2017.04.159Open DOISearch in Google Scholar

Baur, D. G., Dimpfl, T., & Kuck, K. (2018). Bitcoin, gold and the US dollar - A replication and extension. Finance Research Letters, 25, 103-110. doi:10.1016/j.frl.2017.10.01210.1016/j.frl.2017.10.012Open DOISearch in Google Scholar

Baur, D. G., Hong, K., & Lee, A. D. (2018). Bitcoin: Medium of exchange or speculative assets? Journal of International Financial Markets Institutions & Money, 54, 177-189. doi:10.1016/j.intfin.2017.12.00410.1016/j.intfin.2017.12.004Open DOISearch in Google Scholar

Bohme, R., Christin, N., Edelman, B., & Moore, T. (2015). Bitcoin: Economics, Technology, and Governance. Journal of Economic Perspectives, 29(2), 213-238. doi:10.1257/jep.29.2.21310.1257/jep.29.2.213Open DOISearch in Google Scholar

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. doi:10.1016/j.frl.2017.02.00910.1016/j.frl.2017.02.009Open DOISearch in Google Scholar

Bouri, E., Molnar, 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. doi:10.1016/j.fri.2016.09.02510.1016/j.fri.2016.09.025Open DOISearch in Google Scholar

Brauneis, A., & Mestel, R. (2018). Price discovery of cryptocurrencies: Bitcoin and beyond. Economics Letters, 165, 58-61. doi:10.1016/j.econlet.2018.02.00110.1016/j.econlet.2018.02.001Open DOISearch in Google Scholar

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. doi:10.1016/j.econlet.2015.02.02910.1016/j.econlet.2015.02.029Open DOISearch in Google Scholar

Ciaian, P., Rajcaniova, M., & Kancs, D. (2016). The economics of BitCoin price formation. Applied Economics, 48(19), 1799-1815. doi:10.1080/00036846.2015.110903810.1080/00036846.2015.1109038Open DOISearch in Google Scholar

Ciaian, P., Rajcaniova, M., & Kancs, D. (2018). Virtual relationships: Short- and long-run evidence from BitCoin and altcoin markets. Journal of International Financial Markets Institutions & Money, 52, 173-195. doi:10.1016/j.intfin.2017.11.00110.1016/j.intfin.2017.11.001Open DOISearch in Google Scholar

CoinMarketCap. Online database. Retrieved November 2019 https://coinmarketcap.com/Search in Google Scholar

Conti, M., Kumar, E. S., Lal, C., & Ruj, S. (2018). A Survey on Security and Privacy Issues of Bitcoin. Ieee Communications Surveys and Tutorials, 20(4), 3416-3452. doi:10.1109/comst.2018.284246010.1109/COMST.2018.2842460Open DOISearch in Google Scholar

Corbet, S., Lucey, B., & Yarovaya, L. (2018). Datestamping the Bitcoin and Ethereum bubbles. Finance Research Letters, 26, 81-88. doi:10.1016/j.frl.2017.12.00610.1016/j.frl.2017.12.006Open DOISearch in Google Scholar

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. doi:10.1016/j.frl.2018.01.00510.1016/j.frl.2018.01.005Open DOISearch in Google Scholar

Dyhrberg, A. H. (2016a). Bitcoin, gold and the dollar - A GARCH volatility analysis. Finance Research Letters, 16, 85-92. doi:10.1016/j.frl.2015.10.00810.1016/j.frl.2015.10.008Open DOISearch in Google Scholar

Dyhrberg, A. H. (2016b). Hedging capabilities of bitcoin. Is it the virtual gold? Finance Research Letters, 16, 139-144. doi:10.1016/j.frl.2015.10.02510.1016/j.frl.2015.10.025Open DOISearch in Google Scholar

Foley, S., Karlsen, J. R., & Putnins, T. J. (2019). Sex, Drugs, and Bitcoin: How Much Illegal Activity Is Financed through Cryptocurrencies? Review of Financial Studies, 32(5), 1798-1853. doi:10.1093/rfs/hhz01510.1093/rfs/hhz015Open DOISearch in Google Scholar

Gandal, N., Hamrick, J. T., Moore, T., & Oberman, T. (2018). Price manipulation in the Bitcoin ecosystem. Journal of Monetary Economics, 95, 86-96. doi:10.1016/j.jmoneco.2017.12.00410.1016/j.jmoneco.2017.12.004Open DOISearch in Google Scholar

Guesmi, K., Saadi, S., Abid, I., & Ftiti, Z. (2019). Portfolio diversification with virtual currency: Evidence from bitcoin. International Review of Financial Analysis, 63, 431-437. doi:10.1016/j.irfa.2018.03.00410.1016/j.irfa.2018.03.004Open DOISearch in Google Scholar

Holub, M., & Johnson, J. (2018). Bitcoin research across disciplines. Information Society, 34(2), 114-126. doi:10.1080/01972243.2017.141409410.1080/01972243.2017.1414094Open DOISearch in Google Scholar

Jiang, Y. H., Nie, H., & Ruan, W. H. (2018). Time-varying long-term memory in Bitcoin market. Finance Research Letters, 25, 280-284. doi:10.1016/j.frl.2017.12.00910.1016/j.frl.2017.12.009Open DOISearch in Google Scholar

Katsiampa, P. (2017). Volatility estimation for Bitcoin: A comparison of GARCH models. Economics Letters, 158, 3-6. doi:10.1016/j.econlet.2017.06.02310.1016/j.econlet.2017.06.023Open DOISearch in Google Scholar

Koutmos, D. (2018). Bitcoin returns and transaction activity. Economics Letters, 167, 81-85. doi:10.1016/j.econlet.2018.03.02110.1016/j.econlet.2018.03.021Open DOISearch in Google Scholar

Lahmiri, S., & Bekiros, S. (2018). Chaos, randomness and multi-fractality in Bitcoin market. Chaos Solitons & Fractals, 106, 28-34. doi:10.1016/j.chaos.2017.11.00510.1016/j.chaos.2017.11.005Open DOISearch in Google Scholar

Liu, J. (2016). Bitcoin literature: a co-word analysis. Paper presented at the 6th Economics & Finance Conference, OECD Paris.10.20472/EFC.2016.006.013Search in Google Scholar

Merediz-Sola, I., & Bariviera, A. F. (2019). A bibliometric analysis of bitcoin scientific production. Research in International Business and Finance, 50, 294-305. doi:10.1016/j.ribaf.2019.06.00810.1016/j.ribaf.2019.06.008Open DOISearch in Google Scholar

Nadarajah, S., & Chu, J. (2017). On the inefficiency of Bitcoin. Economics Letters, 150, 6-9. doi:10.1016/j.econlet.2016.10.03310.1016/j.econlet.2016.10.033Open DOISearch in Google Scholar

Nakamoto, S. (2008). Bitcoin: A Peer-to-Peer Electronic Cash System.Search in Google Scholar

Sensoy, A. (2019). The inefficiency of Bitcoin revisited: A high-frequency analysis with alternative currencies. Finance Research Letters, 28, 68-73. doi:10.1016/j.frl.2018.04.00210.1016/j.frl.2018.04.002Open DOISearch in Google Scholar

Shen, D. H., Urquhart, A., & Wang, P. F. (2019). Does twitter predict Bitcoin? Economics Letters, 174, 118-122. doi:10.1016/j.econlet.2018.11.00710.1016/j.econlet.2018.11.007Open DOISearch in Google Scholar

Tiwari, A. K., Jana, R. K., Das, D., & Roubaud, D. (2018). Informational efficiency of Bitcoin-An extension. Economics Letters, 163, 106-109. doi:10.1016/j.econlet.2017.12.00610.1016/j.econlet.2017.12.006Open DOISearch in Google Scholar

Tiwari, A. K., Kumar, S., & Pathak, R. (2019). Modelling the dynamics of Bitcoin and Litecoin: GARCH versus stochastic volatility models. Applied Economics, 51(37), 4073-4082. doi:10.1080/00036846.2019.158895110.1080/00036846.2019.1588951Open DOISearch in Google Scholar

Tschorsch, F., & Scheuermann, B. (2016). Bitcoin and Beyond: A Technical Survey on Decentralized Digital Currencies. Ieee Communications Surveys and Tutorials, 18(3), 2084-2123. doi:10.1109/comst.2016.253571810.1109/comst.2016.2535718Open DOISearch in Google Scholar

Urquhart, A. (2016). The inefficiency of Bitcoin. Economics Letters, 148, 80-82. doi:10.1016/j.econlet.2016.09.01910.1016/j.econlet.2016.09.019Open DOISearch in Google Scholar

Urquhart, A. (2017). Price clustering in Bitcoin. Economics Letters, 159, 145-148. doi:10.1016/j.econlet.2017.07.03510.1016/j.econlet.2017.07.035Open DOISearch in Google Scholar

Urquhart, A. (2018). What causes the attention of Bitcoin? Economics Letters, 166, 40-44. doi:10.1016/j.econlet.2018.02.01710.1016/j.econlet.2018.02.017Open DOISearch in Google Scholar

van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. doi:10.1007/s11192-009-0146-310.1007/s11192-009-0146-3Open DOISearch in Google Scholar