A Comparative Study Between the Brazilian Stock Market and Cryptocurrencies
Abstract
The Brazilian Stock Market has been experiencing an increase in trading volume, and this shows an improvement in indices. This phenomenon is due to the adoption of Corporate Governance practices, improvement in institutional environments, and greater liquidity in national markets. In this scenario, blockchain technology has become popular in recent years, with various applications, ensuring transaction identification, authenticity, reliability, transparency, equity, and interoperability, along with the emergence of smart contracts. However, the most well-known cryptocurrency is Bitcoin, followed by Ethereum, which was the first to allow the use of smart contracts, and Solana, created in 2018, already holds the fourth position, with great expectations for future growth. The popularization of this asset class may represent an investment opportunity; on the other hand, there is research on its possible relationship with other markets and assets, such as gold, the dollar, or even the Dow Jones index. However, the literature on this subject lacks broader research regarding the Brazilian economy, which, being less stable than those markets known as strong, may present different results. This is the aim of the research to compare three cryptocurrencies (Bitcoin, Ethereum, and Solana) with the Brazilian stock market by means of the non-parametric statistical test Kolmogorov-Smirnov.
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References
M. Andoni and V. Robu and D. Flynn and S. Abram and D. Geach and D. Jenkins and P. Mccallum and A. Peacock, “Blockchain technology in the energy sector: A systematic review of challenges and opportunities”, in Elsevier, 2019.
E. Baumöhl, E, “Are cryptocurrencies connected to forex? A quantile cross-spectral approach”, in Finance Research Letters, 2019, doi: https://doi.org/10.1016/j.frl.2018.09.002.
C. Bovaird, “Bitcoin Rollercoaster Rides Brexit As Ether Price Holds Amid DAO Debacle”, 2016, doi: http://www.coindesk.com/bitcoin-brexit-ether-price-rollercoaster
A. G. Carvalho, “Ascensão e declínio do mercado de capitais no Brasil - a experiência dos anos 90”, in Economia Aplicada in v.4, n.3, 2000.
P. D. DeVries, “An Analysis of Cryptocurrency, Bitcoin, and the Future”, in International Journal of Business Management and Commerce, in v.1, n.2, September, 2016.
L. P. L. Fávero and P. P. Belfiore and F. L. Silva and B. L. Chan, “Análise de Dados: modelagem multivariada para tomada de decisões”, in Rio de Janeiro: Elsevier, 2009.
W. Kristjanpoller and E. Bouri. “Asymmetric multifractal cross-correlations between the main world currencies and the main cryptocurrencies”, in Physica A: Statistical Mechanics and its Applications, 2019, pp. 1057-1071, 2019, doi: https://doi.org/10.1016/j.physa.2019.04.115.
R. Levine and S. Zervos, “Stock markets banks and economic growth”, in American Economic Review n. 88, 1998, p. 537-58.
P. Magro, “What Greece can learn from bitcoin adoption in Latin America”, 2016, doi: http://www.ibtimes.co.uk/what-greece-can-learn-bitcoin-adoption-latin-america-1511183.
A. M. Mota and L. de M. Queiroz, “Bitcoin x Mercado de ações: uma análise da variação dos índices das bolsas de valores tradicionais diante da maior alta histórica da criptomoeda”, in XXIII SEMEAD (Seminários em Administração), 2020, ISSN 2177-3866.
S. Nakamoto, “Bitcoin: A peer-to-peer electronic cash system, 2008, doi: https://bitcoin.org/en/bitcoin-paper.
K. S. Tanwar and R. E. Parekh, “Blockchain-based electronic healthcare record system for healthcare 4.0 applications”, in Journal of Information Security and Applications, 2021.
R. Walpole and R. Myers, “Probability and Statistics for Engineers and Scientists”, Macmillan, 2º ed., 1978.
R. Zha and L. Yu and H. Yin, “Dependences and risk spillover effects between Bitcoin, crude oil and other traditional financial markets during the COVID-19 outbreak” in Environmental Science and Pollution Research 30:40737–40751, 2023.
W. Zhang and P. Wang and X. Li and D. Shen, “The inefficiency of cryptocurrency and its cross-correlation with Dow Jones Industrial Average”, in Physica A, 2018, pp. 658-670, doi:https://doi.org/10.1016/j.physa.2018.07.032.
J. Kirinata. “Investidores na B3 chegam a 19,1 milhões; número de PF em renda fixa, FIIs e ações cresce.” XPI. https://conteudos.xpi.com.br/conteudos-gerais/b3-investidores-renda-fixa-variavel-fiis-dez-2023/. (accessed Mar. 30, 2024).
S. Nyasha and NM. Odhiambo, “The brazilian stock market development: a critical analysis of progress and prospects during the past 50 year”, in Risk governance & control: financial markets & institutions, v.3, Issue 3, 2013.
C. M. Martins, “Testes não paramétricos”, in Curso de Estatística Computacional – Universidade de Coimbra, http://www.mat.uc.pt/~cmtm/Ecwww/TestesNP.pdf, (accessed Mar. 30, 2024).
A. J. Maheshwari and J. Calles and S. K. Waterton, “Engineering tRNA abundances for synthetic cellular systems”, in Nat Commun 14, 4594, 2023, doi: https://doi.org/10.1038/s41467-023-40199-9.
P. H. M. Silveira, “O que move o preço da ação? Um estudo sobre as maiores variações diárias do ibovespa na década de 2010”, in universidade federal de minas gerais faculdade de ciências econômicas, 2019, https://n9.cl/wrhk7b (accessed Mar. 30, 2024).
G. A. Pierro and R. Tonelli, “Can Solana be the Solution to the Blockchain Scalability Problem?”, in IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), Honolulu, HI, USA, 2022, pp. 1219-1226, doi: 10.1109/SANER53432.2022.00144.
M. Pechman, “Solana valoriza 34,5% em uma semana e métricas da rede sustentam potenciais ganhos adicionais”, in Cointelegraph, https://br.cointelegraph.com/news/solana-gains-34-5-percent-week-network-metrics-support-further-gains (accessed Mar. 31, 2024).
Portal Infomoney, “Ethereum: ¿como surgiu a segunda criptomoeda mais valiosa do mundo?”, in Infomoney. https://www.infomoney.com.br/guias/o-que-e-ethereum/ (accessed Mar. 23, 2024).
Mohanta, Bhabendu and Panda, Soumyashree & Jena, Debasish. (2018). “An Overview of Smart Contract and Use Cases in Blockchain Technology”, IEEE, 2018. 10.1109/ICCCNT.2018.8494045.
Rodriguez, Axel and Jipsion, Armando. “Análisis de la operación de unión en redes de sensores inalámbricos”. Prisma Tecnológico, 2019. 10. 44-47. 10.33412/pri.v10.1.2173.
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