A bibliometric analysis of Bitcoin scientific production
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- Merediz-Solà, Ignasi & Bariviera, Aurelio F., 2019. "A bibliometric analysis of bitcoin scientific production," Research in International Business and Finance, Elsevier, vol. 50(C), pages 294-305.
References listed on IDEAS
- Katsiampa, Paraskevi, 2017. "Volatility estimation for Bitcoin: A comparison of GARCH models," Economics Letters, Elsevier, vol. 158(C), pages 3-6.
- Zhang, Wei & Wang, Pengfei & Li, Xiao & Shen, Dehua, 2018. "The inefficiency of cryptocurrency and its cross-correlation with Dow Jones Industrial Average," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 658-670.
- Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
- Dyhrberg, Anne Haubo, 2016. "Bitcoin, gold and the dollar – A GARCH volatility analysis," Finance Research Letters, Elsevier, vol. 16(C), pages 85-92.
- Pavel Ciaian & Miroslava Rajcaniova & d’Artis Kancs, 2016.
"The economics of BitCoin price formation,"
Applied Economics, Taylor & Francis Journals, vol. 48(19), pages 1799-1815, April.
- Pavel Ciaian & Miroslava Rajcaniova & d'Artis Kancs, 2014. "The Economics of BitCoin Price Formation," EERI Research Paper Series EERI RP 2014/08, Economics and Econometrics Research Institute (EERI), Brussels.
- Pavel Ciaian & Miroslava Rajcaniova & d'Artis Kancs, 2014. "The Economics of BitCoin Price Formation," Papers 1405.4498, arXiv.org.
- Jyotir Moy Chatterjee & Le Hoang Son & Srijani Ghatak & Raghvendra Kumar & Manju Khari, 2018. "BitCoin exclusively informational money: a valuable review from 2010 to 2017," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(5), pages 2037-2054, September.
- McMillan, David G., 2019. "Cross-asset relations, correlations and economic implications," Global Finance Journal, Elsevier, vol. 41(C), pages 60-78.
- Urquhart, Andrew, 2016. "The inefficiency of Bitcoin," Economics Letters, Elsevier, vol. 148(C), pages 80-82.
- Platanakis, Emmanouil & Urquhart, Andrew, 2019. "Portfolio management with cryptocurrencies: The role of estimation risk," Economics Letters, Elsevier, vol. 177(C), pages 76-80.
- Chung, Kee H & Cox, Raymond A K, 1990. "Patterns of Productivity in the Finance Literature: A Study of the Bibliometric Distributions," Journal of Finance, American Finance Association, vol. 45(1), pages 301-309, March.
- Urquhart, Andrew, 2017. "Price clustering in Bitcoin," Economics Letters, Elsevier, vol. 159(C), pages 145-148.
- John Liu, 2016. "Bitcoin Literature: A Co-word Analysis," Proceedings of Economics and Finance Conferences 4206769, International Institute of Social and Economic Sciences.
- Rainer Böhme & Nicolas Christin & Benjamin Edelman & Tyler Moore, 2015. "Bitcoin: Economics, Technology, and Governance," Journal of Economic Perspectives, American Economic Association, vol. 29(2), pages 213-238, Spring.
- Bariviera, Aurelio F., 2017.
"The inefficiency of Bitcoin revisited: A dynamic approach,"
Economics Letters, Elsevier, vol. 161(C), pages 1-4.
- Aurelio F. Bariviera, 2017. "The inefficiency of Bitcoin revisited: a dynamic approach," Papers 1709.08090, arXiv.org.
- HOROWITZ, Ira, 1970. "Employment concentration in the Common Market: An entropy approach," LIDAM Reprints CORE 66, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Klein, Tony & Pham Thu, Hien & Walther, Thomas, 2018.
"Bitcoin is not the New Gold – A comparison of volatility, correlation, and portfolio performance,"
International Review of Financial Analysis, Elsevier, vol. 59(C), pages 105-116.
- Klein, Tony & Thu, Hien Pham & Walther, Thomas, 2018. "Bitcoin is not the New Gold - A Comparison of Volatility, Correlation, and Portfolio Performance," IRTG 1792 Discussion Papers 2018-015, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Thomas Walther & Tony Klein & Hien Pham Thu, 2018. "Bitcoin is not the New Gold - A Comparison of Volatility, Correlation, and Portfolio Performance," Working Papers on Finance 1812, University of St. Gallen, School of Finance.
- Klein, Tony & Hien, Pham Thu & Walther, Thomas, 2018. "Bitcoin Is Not the New Gold: A Comparison of Volatility, Correlation, and Portfolio Performance," QBS Working Paper Series 2018/01, Queen's University Belfast, Queen's Business School.
- Balcilar, Mehmet & Bouri, Elie & Gupta, Rangan & Roubaud, David, 2017.
"Can volume predict Bitcoin returns and volatility? A quantiles-based approach,"
Economic Modelling, Elsevier, vol. 64(C), pages 74-81.
- Mehmet Balcilar & Elie Bouri & Rangan Gupta & David Roubaud, 2017. "Can volume predict Bitcoin returns and volatility? A quantiles-based approach," Post-Print hal-02008551, HAL.
- Miguel Almunia & Agustín Bénétrix & Barry Eichengreen & Kevin H. O’Rourke & Gisela Rua, 2010.
"From Great Depression to Great Credit Crisis: similarities, differences and lessons [Germany: Guns, butter, and economic miracles],"
Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 25(62), pages 219-265.
- Eichengreen, Barry & O'Rourke, Kevin & , & Rua, Gisela & Almunia, Miguel, 2009. "From Great Depression to Great Credit Crisis: Similarities, Differences and Lessons," CEPR Discussion Papers 7564, C.E.P.R. Discussion Papers.
- Miguel Almunia & Agustín S. Bénétrix & Barry Eichengreen & Kevin H. O'Rourke & Gisela Rua, 2009. "From Great Depression to Great Credit Crisis: Similarities, Differences and Lessons," The Institute for International Integration Studies Discussion Paper Series iiisdp303, IIIS.
- Miguel Almunia & Agustín S. Bénétrix & Barry Eichengreen & Kevin H. O'Rourke & Gisela Rua, 2009. "From Great Depression to Great Credit Crisis: Similarities, Differences and Lessons," NBER Working Papers 15524, National Bureau of Economic Research, Inc.
- Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
- David Yermack, 2013. "Is Bitcoin a Real Currency? An economic appraisal," NBER Working Papers 19747, National Bureau of Economic Research, Inc.
- Andrikopoulos, Andreas & Samitas, Aristeidis & Kostaris, Konstantinos, 2016. "Four decades of the Journal of Econometrics: Coauthorship patterns and networks," Journal of Econometrics, Elsevier, vol. 195(1), pages 23-32.
- Corrado Cuccurullo & Massimo Aria & Fabrizia Sarto, 2016. "Foundations and trends in performance management. A twenty-five years bibliometric analysis in business and public administration domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 595-611, August.
- Aslanidis, Nektarios & Bariviera, Aurelio F. & Martínez-Ibañez, Oscar, 2019.
"An analysis of cryptocurrencies conditional cross correlations,"
Finance Research Letters, Elsevier, vol. 31(C), pages 130-137.
- Nektarios Aslanidis & Aurelio F. Bariviera & Oscar Martinez-Iba~nez, 2018. "An analysis of cryptocurrencies conditional cross correlations," Papers 1811.08365, arXiv.org, revised Feb 2019.
- Blaise Cronin, 2001. "Hyperauthorship: A postmodern perversion or evidence of a structural shift in scholarly communication practices?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 52(7), pages 558-569.
- Nadarajah, Saralees & Chu, Jeffrey, 2017. "On the inefficiency of Bitcoin," Economics Letters, Elsevier, vol. 150(C), pages 6-9.
- Katsiampa, Paraskevi, 2019. "Volatility co-movement between Bitcoin and Ether," Finance Research Letters, Elsevier, vol. 30(C), pages 221-227.
- Dyhrberg, Anne Haubo, 2016. "Hedging capabilities of bitcoin. Is it the virtual gold?," Finance Research Letters, Elsevier, vol. 16(C), pages 139-144.
- Shahzad, Syed Jawad Hussain & Bouri, Elie & Roubaud, David & Kristoufek, Ladislav & Lucey, Brian, 2019. "Is Bitcoin a better safe-haven investment than gold and commodities?," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 322-330.
- Daniel Fonseca Costa & Francisval de Melo Carvalho & Bruno César de Melo Moreira, 2019. "Behavioral Economics And Behavioral Finance: A Bibliometric Analysis Of The Scientific Fields," Journal of Economic Surveys, Wiley Blackwell, vol. 33(1), pages 3-24, February.
- Guangyue Wei, 2019. "A Bibliometric Analysis Of The Top Five Economics Journals During 2012–2016," Journal of Economic Surveys, Wiley Blackwell, vol. 33(1), pages 25-59, February.
- José M. Merigó & Christian A. Cancino & Freddy Coronado & David Urbano, 2016. "Academic research in innovation: a country analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 559-593, August.
- Bouri, Elie & Molnár, Peter & Azzi, Georges & Roubaud, David & Hagfors, Lars Ivar, 2017.
"On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier?,"
Finance Research Letters, Elsevier, vol. 20(C), pages 192-198.
- Elie Bouri & Peter Molnár & Georges Azzi & David Roubaud & Lars Ivar Hagfors, 2017. "On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier?," Post-Print hal-02000697, HAL.
- Barro, Robert J, 1979. "Money and the Price Level under the Gold Standard," Economic Journal, Royal Economic Society, vol. 89(353), pages 13-33, March.
- Lamberti, P.W & Martin, M.T & Plastino, A & Rosso, O.A, 2004. "Intensive entropic non-triviality measure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 334(1), pages 119-131.
- Claudio A. Bonilla & José M. Merigó & Carolina Torres-Abad, 2015. "Economics in Latin America: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1239-1252, November.
- Aurelio F. Bariviera & Luciano Zunino & Osvaldo A. Rosso, 2018. "An analysis of high-frequency cryptocurrencies prices dynamics using permutation-information-theory quantifiers," Papers 1808.01926, arXiv.org.
- Philipp Korom, 2019. "A bibliometric visualization of the economics and sociology of wealth inequality: a world apart?," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 849-868, March.
- Lahmiri, Salim & Bekiros, Stelios, 2018. "Chaos, randomness and multi-fractality in Bitcoin market," Chaos, Solitons & Fractals, Elsevier, vol. 106(C), pages 28-34.
- Cheah, Eng-Tuck & Fry, John, 2015. "Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin," Economics Letters, Elsevier, vol. 130(C), pages 32-36.
- Maksym Polyakov & Serhiy Polyakov & Md Sayed Iftekhar, 2017. "Does academic collaboration equally benefit impact of research across topics? The case of agricultural, resource, environmental and ecological economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1385-1405, December.
- Eduardo Zambrano & Alberto Hernando & Aurelio Fernandez-Bariviera & Ricardo Hernando & Angelo Plastino, 2015. "Thermodynamics of firms' growth," Papers 1504.07666, arXiv.org.
- Corbet, Shaen & Lucey, Brian & Urquhart, Andrew & Yarovaya, Larisa, 2019. "Cryptocurrencies as a financial asset: A systematic analysis," International Review of Financial Analysis, Elsevier, vol. 62(C), pages 182-199.
- Corbet, Shaen & Meegan, Andrew & Larkin, Charles & Lucey, Brian & Yarovaya, Larisa, 2018. "Exploring the dynamic relationships between cryptocurrencies and other financial assets," Economics Letters, Elsevier, vol. 165(C), pages 28-34.
- Cobo, M.J. & López-Herrera, A.G. & Herrera-Viedma, E. & Herrera, F., 2011. "An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field," Journal of Informetrics, Elsevier, vol. 5(1), pages 146-166.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Aurelio F. Bariviera & Ignasi Merediz‐Solà, 2021.
"Where Do We Stand In Cryptocurrencies Economic Research? A Survey Based On Hybrid Analysis,"
Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 377-407, April.
- Aurelio F. Bariviera & Ignasi Merediz-Sol`a, 2020. "Where do we stand in cryptocurrencies economic research? A survey based on hybrid analysis," Papers 2003.09723, arXiv.org.
- ORĂȘTEAN Ramona & MĂRGINEAN Silvia Cristina & SAVA Raluca, 2019. "Bitcoin In The Scientific Literature – A Bibliometric Study," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 14(3), pages 160-174, December.
- Aslanidis, Nektarios & Fernández Bariviera, Aurelio & Savva, Christos S., 2020. "Weekly dynamic conditional correlations among cryptocurrencies and traditional assets," Working Papers 2072/417680, Universitat Rovira i Virgili, Department of Economics.
- Cynthia Weiyi Cai & Rui Xue & Bi Zhou, 2023. "Cryptocurrency puzzles: a comprehensive review and re-introduction," Journal of Accounting Literature, Emerald Group Publishing Limited, vol. 46(1), pages 26-50, June.
- Chu, Jeffrey & Chan, Stephen & Zhang, Yuanyuan, 2021. "Bitcoin versus high-performance technology stocks in diversifying against global stock market indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).
- Flori, Andrea, 2019. "News and subjective beliefs: A Bayesian approach to Bitcoin investments," Research in International Business and Finance, Elsevier, vol. 50(C), pages 336-356.
- Bedi, Prateek & Nashier, Tripti, 2020. "On the investment credentials of Bitcoin: A cross-currency perspective," Research in International Business and Finance, Elsevier, vol. 51(C).
- Aslanidis, Nektarios & Bariviera, Aurelio F. & Martínez-Ibañez, Oscar, 2019.
"An analysis of cryptocurrencies conditional cross correlations,"
Finance Research Letters, Elsevier, vol. 31(C), pages 130-137.
- Nektarios Aslanidis & Aurelio F. Bariviera & Oscar Martinez-Iba~nez, 2018. "An analysis of cryptocurrencies conditional cross correlations," Papers 1811.08365, arXiv.org, revised Feb 2019.
- Li, Mu-Yao & Cai, Qing & Gu, Gao-Feng & Zhou, Wei-Xing, 2019. "Exponentially decayed double power-law distribution of Bitcoin trade sizes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
- Kajtazi, Anton & Moro, Andrea, 2019. "The role of bitcoin in well diversified portfolios: A comparative global study," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 143-157.
- Zhou, Siwen, 2018. "Exploring the Driving Forces of the Bitcoin Exchange Rate Dynamics: An EGARCH Approach," MPRA Paper 89445, University Library of Munich, Germany.
- Corbet, Shaen & Lucey, Brian & Urquhart, Andrew & Yarovaya, Larisa, 2019. "Cryptocurrencies as a financial asset: A systematic analysis," International Review of Financial Analysis, Elsevier, vol. 62(C), pages 182-199.
- Andrea Flori, 2019. "Cryptocurrencies In Finance: Review And Applications," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 22(05), pages 1-22, August.
- Platanakis, Emmanouil & Urquhart, Andrew, 2020. "Should investors include Bitcoin in their portfolios? A portfolio theory approach," The British Accounting Review, Elsevier, vol. 52(4).
- Eross, Andrea & McGroarty, Frank & Urquhart, Andrew & Wolfe, Simon, 2019. "The intraday dynamics of bitcoin," Research in International Business and Finance, Elsevier, vol. 49(C), pages 71-81.
- Urquhart, Andrew & Zhang, Hanxiong, 2019. "Is Bitcoin a hedge or safe haven for currencies? An intraday analysis," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 49-57.
- Lennart Ante, 2020. "A place next to Satoshi: foundations of blockchain and cryptocurrency research in business and economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1305-1333, August.
- Achraf Ghorbel & Wajdi Frikha & Yasmine Snene Manzli, 2022. "Testing for asymmetric non-linear short- and long-run relationships between crypto-currencies and stock markets," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(3), pages 387-425, September.
- Mensi, Walid & Sensoy, Ahmet & Aslan, Aylin & Kang, Sang Hoon, 2019. "High-frequency asymmetric volatility connectedness between Bitcoin and major precious metals markets," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
- Yue, Yao & Li, Xuerong & Zhang, Dingxuan & Wang, Shouyang, 2021. "How cryptocurrency affects economy? A network analysis using bibliometric methods," International Review of Financial Analysis, Elsevier, vol. 77(C).
More about this item
JEL classification:
- G19 - Financial Economics - - General Financial Markets - - - Other
- E49 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Other
NEP fields
This paper has been announced in the following NEP Reports:- NEP-PAY-2019-07-15 (Payment Systems and Financial Technology)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:1906.08933. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.