Impulsores del mercado: el caso de Bitcoin en el contexto de la COVID-19
DOI:
https://doi.org/10.37467/revhuman.v11.4373Palabras clave:
Bitcoin, Blockchain, fsQCA, COVID-19, CriptomonedaResumen
El Bitcoin es una moneda virtual que proporciona una alternativa segura completamente descentralizada a las monedas que se utilizan actualmente. Nakamoto, el creador de esta criptomoneda, publicó un artículo sobre una lista de correo de encriptación en 2008 con el título “Bitcoin: A Peer-to-Peer Electronic Cash System”, dando así la creación de esta moneda virtual. Este estudio tiene como objetivo analizar la Bitcoin y qué factores pueden influir en su precio, en el contexto de una pandemia. Este trabajo se centrará en el precio de bitcoin y en cinco factores diferentes que pueden influir en su precio, tales como: tasa de hash, dificultad de minería, índice de volatilidad, búsqueda de Google y costo de transacción. El periodo para esta investigación va del 15/03/2020 al 14/11/2021, un total de 96 semanas, para integrar el factor covid-19 al estudio. Los resultados muestran que las variables fsCoinCirculation y fsTransationCost son ambas condiciones necesarias para un aumento en el precio de bitcoin, pero para valores bajos de precio de bitcoin no hay condiciones necesarias. Además, los hallazgos sugieren que la tasa de hash influye en el precio de bitcoin. Finalmente, se encontró que la variable fsVix es una variable con una implicación importante en el precio, es decir, en su volatilidad
Citas
Abraham, J., Higdon, D., Nelson, J., & Ibarra, J. (2018). Cryptocurrency price prediction using tweet volumes and sentiment analysis. SMU Data Science Review, 1(3), 1.
Aguilera-Caracuel, J., Fedriani, E. M., & Delgado-Márquez, B. L. (2014). Institutional distance among country influences and environmental performance standardization in multinational enterprises, Journal of Business Research, 67(11), 2385-2392. DOI: https://doi.org/10.1016/j.jbusres.2014.02.005
Anamika, Chakraborty, M., & Subramaniam, S. (2021). Does Sentiment Impact Cryptocurrency?. Journal of Behavioral Finance, 1–17. https://doi.org/10.1080/15427560.2021.1950723 DOI: https://doi.org/10.1080/15427560.2021.1950723
Bag, S., Ruj, S., & Sakurai, K. (2017). Bitcoin Block Withholding Attack: Analysis and Mitigation. IEEE Transactions on Information Forensics and Security, 12(8), 1967–1978. https://doi.org/10.1109/TIFS.2016.2623588 DOI: https://doi.org/10.1109/TIFS.2016.2623588
Boro, & Ferreira. (2016). Analysis of the social benefits of bitcoin. Virtual Legal Library of the Institute of Legal Investigations de la UNAM.
Brenner, M., & Galai, D. (1989). New Financial Instruments for Hedging Changes in Volatility. Financial analysts journal, Agosto, 61–65. DOI: https://doi.org/10.2469/faj.v45.n4.61
Calvery, J. . (2013). Statement of Jennifer Shasky Calvery, Director, Financial Crimes Enforcement Network, United States Department of the Treasury. Financial Crimes Enforcement Network. Committee on Homeland Security and Government Affairs November, 1–15.
COMPOSITE Index Charts and Quotes-TradingView. (n.d.). www.tradingview.com/symbols/IDX-COMPOSITE/
Cooper, B., & Glaesser, J. (2010). Using case-based approaches to analyse large datasets: A comparison of country influences and environmental performance standardization in multinational enterprises.
De Vries, A. (2018). Bitcoin’s Growing Energy Problem. Joule, 2(5), 801–805. https://doi.org/10.1016/j.joule.2018.04.016 DOI: https://doi.org/10.1016/j.joule.2018.04.016
Di Pierro, M. (2017). What is the blockchain?. Computing in Science & Engineering, 19(5), 92-95. DOI: https://doi.org/10.1109/MCSE.2017.3421554
Fantazzini, D., & Kolodin, N. (2020). Does the Hashrate Affect the Bitcoin Price? Journal of Risk and Financial Management, 13(11), 263. https://doi.org/10.3390/jrfm13110263 DOI: https://doi.org/10.3390/jrfm13110263
Fiss, P. C. (2007). A set-theoretic approach to organizational configurations. Academy of Management Review. DOI: https://doi.org/10.5465/amr.2007.26586092
Gozbasi, O., Altinoz, B., & Sahin, E. E. (2021). Is Bitcoin a Safe Haven? A Study on the Factors that Affect Bitcoin Prices. International Journal of Economics and Financial Issues, 11(4), 35. DOI: https://doi.org/10.32479/ijefi.11602
Henik, E. (2015). Understanding whistle-blowing: A set-theoretic approach. Journal of Business Research, International Journal of Market Research, 47(2), 205–228 DOI: https://doi.org/10.1016/j.jbusres.2014.06.004
Kent, R. A. (2005). Cases as configurations: Using combinatorial and fuzzy logic to analyse marketing data. DOI: https://doi.org/10.1177/147078530504700202
Kraft, D. (2016). Difficulty control for blockchain-based consensus systems. Peer-to-Peer Networking and Applications, 9(2), 397–413. https://doi.org/10.1007/s12083-015-0347-x DOI: https://doi.org/10.1007/s12083-015-0347-x
Kraus, S., Ribeiro-Soriano, D., & Schüssler, M. (2018). Fuzzy-set qualitative comparative analysis (fsQCA) in entrepreneurship and innovation research–the rise of a method. International Entrepreneurship and Management Journal, 14(1), 15-33. DOI: https://doi.org/10.1007/s11365-017-0461-8
Kristoufek, L. (2015). What are the main drivers of bitcoin price? Evidence of wavelet coherence analysis. PloS One, 10(4), e0123923. DOI: https://doi.org/10.1371/journal.pone.0123923
Mankiw, N. G., & Shapiro, M. (1984). Risk and Return: Consumption versus Market Beta. In NBER Working Paper Series. https://doi.org/10.3386/w1399 DOI: https://doi.org/10.3386/w1399
Matta, M., Lunesu, I., & Marchesi, M. (2015). Bitcoin spread prediction using social and web search media. CEUR Workshop Proceedings, 1388.
Mayrhofer, W. (2009). Groping in the dark? Recent contributions to progress in interpretative research. DOI: https://doi.org/10.1177/239700220902300205
Meuer, J. (2014). Archetypes of inter-firm relations in the implementation of management innovation: A settheoretic study in China’s biopharmaceutical industry. Organization Studies (01708406), 35(1), 121–145 DOI: https://doi.org/10.1177/0170840613495339
Nagy, B.; Farmer, J. D.; Bui, Q. M.; Trancik, J. E.; Nunes Amaral, L. A. (2013). Statistical Basis for Predicting Technological Progress. PLoS ONE, 8(2), e52669–. doi:10.1371/journal.pone.0052669 DOI: https://doi.org/10.1371/journal.pone.0052669
Nakamoto, S. (2008). Bitcoin: A Peer-to-Peer Electronic Cash System.
Nofer, M., Gomber, P., Hinz, O., & Schiereck, D. (2017). Blockchain. Business & Information Systems Engineering, 59(3), 183-187. DOI: https://doi.org/10.1007/s12599-017-0467-3
Pappas, I. O., & Woodside, A. G. (2021). Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketing. International Journal of Information Management, 58, 102310. DOI: https://doi.org/10.1016/j.ijinfomgt.2021.102310
Ragin, C. C. (2000). Fuzzy-set social science. Chicago: The University of Chicago Press.
Ragin, C. C. (2008a). Measurement versus calibration: A set-theoretic approach. In J. M. Box-Steffensmeier, H. E. Brady, & D. Collier (Eds.) The Oxford handbook of political methodology (pp. 174–198). DOI: https://doi.org/10.1093/oxfordhb/9780199286546.003.0008
Ragin, C. C. (2010).Using case‐based approaches to analyse large datasets: a comparison of Ragin’s fsQCA and fuzzy cluster analysis. International Journal of Social Research Methodology, 14(1) www.tandfonline.com/doi/full/10.1080/13645579.2010.483079. DOI: https://doi.org/10.1080/13645579.2010.483079
Rodrigues, J., Marques, ML, & Garcia, S. (2021). Bitcoin-The digital currency of the future. University repository of Anima.
Rong and Wilkinson’s perspectives. Australasian Marketing Journal, 19(3), 153–156.
Rosenfeld, M. (2014). Analysis of Hashrate-Based Double Spending. 1–13. http://arxiv.org/abs/1402.2009
Schwert, G. W. (1990). Stock Market Volatility. Financial Analysts Journal, 46(3), 23–34. https://doi.org/10.2469/faj.v46.n3.23 DOI: https://doi.org/10.2469/faj.v46.n3.23
Silva, R.M. P. (2016). The evolution of currency and bitcoin: a study of the validity of bitcoin as a currency. Graduation Magazine.
Tetlock, PC: Giving content to investment sentiment: The role of the media in the stock market. The Journal of Finance (2007) DOI: https://doi.org/10.1111/j.1540-6261.2007.01232.x
Ulrich, F. (2014). BITCOIN - A moeda na era digital. In VV.AA. Antimicrobial agents and chemotherapy (Vol. 58, Issue 12).
Ulrich, f. (2014). Bitcoin the currency in the digital age. Ludwig Von Mises Institute Brazil.
Woodside, A. G. (2011). Responding to the severe limitations of cross-sectional surveys. DOI: https://doi.org/10.1016/j.ausmj.2011.04.004
Wright, C. S. (2008). Bitcoin: A Peer-to-Peer Electronic Cash System. SSRN Electronic Journal, 15(4), 580–596. https://doi.org/10.2139/ssrn.3440802 DOI: https://doi.org/10.2139/ssrn.3440802
Zhang, X., Qin, R., Yuan, Y., & Wang, F.-Y. (2018). An Analysis of Blockchain-based Bitcoin Mining Difficulty: Techniques and Principles. 2018 Chinese Automation Congress (CAC), 1184–1189. https://doi.org/10.1109/CAC.2018.8623140 DOI: https://doi.org/10.1109/CAC.2018.8623140
Zheng Z, Xie S, Dai HN, Wang H (2016) Blockchain Challenges and Opportunities: A Survey. Work Pap.
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