Market Movers: the case of bitcoin in the Covid-19 setting

Autores

  • Daniela Penela Academia Militar

DOI:

https://doi.org/10.37467/revhuman.v11.4373

Palavras-chave:

Bitcoin, Blockchain, fsQCA, COVID-19, Cryptocurrency

Resumo

Bitcoin is a virtual currency that provides a completely decentralized secure alternative to the currencies currently used. Nakamoto, the creator of this cryptocurrency, published an article on an encryption mailing list in 2008 with the title “Bitcoin: A Peer-to-Peer Electronic Cash System”, thus giving the creation of this virtual currency. This study aims to analyze the Bitcoin and what factors can influence its price, in the context of a pandemic. This work will focus on the bitcoin price and on five different factors likely to have an influence on his price, such as: Hash Rate, Mining Difficulty, Volatility Index, Google Search and Transaction Cost. The period for this research ranges from 15/03/2020 to 14/11/2021, a total of 96 weeks, to integrate the covid-19 factor into the study. The results show that the variables fsCoinCirculation and fsTransationCost are both necessary conditions for an increase on the bitcoin price, but for low values of bitcoin price there are no necessary conditions. Additionally, findings suggest that Hash Rate influences the price of bitcoin. Finally, fsVix variable was found to be a variable with an important implication in price, namely, in its volatility.

Referências

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.

Anamika, Chakraborty, M., & Subramaniam, S. (2021). Does Sentiment Impact Cryptocurrency?. Journal of Behavioral Finance, 1–17. 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

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.

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

Di Pierro, M. (2017). What is the blockchain?. Computing in Science & Engineering, 19(5), 92-95.

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

Fiss, P. C. (2007). A set-theoretic approach to organizational configurations. Academy of Management Review.

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.

Henik, E. (2015). Understanding whistle-blowing: A set-theoretic approach. Journal of Business Research, International Journal of Market Research, 47(2), 205–228

Kent, R. A. (2005). Cases as configurations: Using combinatorial and fuzzy logic to analyse marketing data.

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

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.

Kristoufek, L. (2015). What are the main drivers of bitcoin price? Evidence of wavelet coherence analysis. PloS One, 10(4), e0123923.

Mankiw, N. G., & Shapiro, M. (1984). Risk and Return: Consumption versus Market Beta. In NBER Working Paper Series. 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.

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

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

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.

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.

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).

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.

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

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)

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.

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

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

Zheng Z, Xie S, Dai HN, Wang H (2016) Blockchain Challenges and Opportunities: A Survey. Work Pap.

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Publicado

2022-12-28

Como Citar

Penela, D. (2022). Market Movers: the case of bitcoin in the Covid-19 setting. HUMAN REVIEW. International Humanities Review Revista Internacional De Humanidades, 15(7), 1–11. https://doi.org/10.37467/revhuman.v11.4373

Edição

v. 15 n. 7 (2022): Monografía: "Para novos modelos de cultura, sociedade e ser humano"

Seção

Artigos de pesquisa (monográfico)

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