ANÁLISE DO IMPACTO DAS CRIPTOMOEDAS EMERGENTES NO MERCADO FINANCEIRO GLOBAL
Palavras-chave:
Criptomoedas, Blockchain, Descentralização, Volatilidade, RegulamentaçãoResumo
Este estudo analisa o impacto das criptomoedas emergentes no mercado financeiro global, com foco em descentralização, volatilidade e regulamentação. Por meio de uma revisão bibliográfica, identificam-se as transformações nas práticas financeiras e comerciais tradicionais, bem como os desafios de escalabilidade e segurança associados às criptomoedas. O trabalho destaca a volatilidade extrema e a fragmentação regulatória como barreiras à adoção em larga escala, ao mesmo tempo em que aponta soluções como o Proof of Stake e redes de camada 2 como promissoras para superar gargalos técnicos. Além disso, discute-se a adoção de criptomoedas em economias emergentes como forma de inclusão financeira e preservação de valor em contextos de instabilidade econômica. Conclui-se que, embora transformadoras, as criptomoedas enfrentam desafios significativos para sua consolidação como elemento estratégico no sistema financeiro global.
Referências
AMMOUS, Saifedean. The Bitcoin Standard: The Decentralized Alternative to Central Banking. Hoboken: John Wiley & Sons, 2018.
ANTONOPOULOS, Andreas M. Mastering Bitcoin. O'Reilly Media, 2014.
ARNER, Douglas W.; BARBERIS, Jànos; BUCKLEY, Ross P. The Evolution of FinTech: A New Post-Crisis Paradigm?. University of Hong Kong, 2016.
BENTOV, Iddo et al. Proof of Activity: Extending Bitcoin’s Proof of Work via Proof of Stake. Technion, 2014.
BERENTSEN, Aleksander; SCHÄR, Fabian. A Short Introduction to the World of Cryptocurrencies. Federal Reserve Bank of St. Louis Review, First Quarter, 2018.
BÖHME, Rainer et al. Bitcoin: Economics, Technology, and Governance. Journal of Economic Perspectives, v. 29, n. 2, 2015.
BRASIL. Lei nº 14.478, de 21 de dezembro de 2022. Disponível em: https://www.planalto.gov.br/ccivil_03/_ato2019-2022/2022/lei/l14478.htm. Acesso em: 06/12/2024.
CATALINI, Christian; GANS, Joshua S. Some Simple Economics of the Blockchain. Communications of the ACM, v. 63, n. 7, 2020.
CIFUENTES, Andres F. Bitcoin in Troubled Economies: The Potential of Cryptocurrencies in Argentina and Venezuela. Latin American Law Review, n. 03, 2019. Disponível em: https://doi.org/10.29263/lar03.2019.05. Acesso em: 06/12/2024
COMMITTEE ON PAYMENTS AND MARKET INFRASTRUCTURES. Distributed Ledger Technology in Payment, Clearing and Settlement: An Analytical Framework. Bank for International Settlements, 2017.
DIERKSMEIER, C. Reframing Economic Ethics: The Philosophical Foundations of Humanistic Management. Springer, 2016.
D’AMATO, Valeria; LEVANTESI, Susanna; PISCOPO, Gabriella. Deep Learning in Predicting Cryptocurrency Volatility. 2022.
ENGLE, Robert. Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models. Journal of Business & Economic Statistics, 2002.
ERNST & YOUNG. Markets in Crypto-Assets Regulation (MiCA): New Harmonized European Regulatory Framework. EY, 2024.
FANUSIE, Yaya J.; JIN, Emily. China’s Digital Currency: Adding Financial Data to Digital Authoritarianism. Center for a New American Security, 2021.
FISCHER, Thomas; KRAUSS, Christopher. Deep Learning with Long Short-Term Memory Networks for Financial Market Predictions. Friedrich-Alexander-Universität Erlangen-Nürnberg, Institute for Economics, 2017.
FRIEDMAN, Milton; FRIEDMAN, Rose D. Capitalism and Freedom. 1962.
GENCER, Adem Efe et al. Decentralization in Bitcoin and Ethereum Networks. Cornell University, 2018.
GURDGIEV, Constantin; O’LOUGHLIN, Daniel. Herding and Anchoring in Cryptocurrency Markets: Investor Reaction to Fear and Uncertainty. Journal of Behavioral and Experimental Finance, 2020.
HANSEN, P. Reinhard; LUNDE, Asger. A Comparison of Volatility Models: Does Anything Beat a GARCH(1,1)?. Working Paper Series No. 84, Brown University, Departamento de Economia e Aalborg University, Departamento de Economia, março de 2001.
HILEMAN, Garrick; RAUCHS, Michel. Global Cryptocurrency Benchmarking Study. Cambridge Centre for Alternative Finance, 2017.
HOCHREITER, Sepp; SCHMIDHUBER, Jürgen. Long Short-Term Memory. Neural Computation, 1997.
KEYNES, John Maynard. The General Theory of Employment, Interest, and Money. London: Macmillan, 1936.
KIM, Christine. Ethereum 2.0: How It Works and Why It Matters. CoinDesk Research, julho de 2020.
LI, Yang; ZHENG, Zibin; DAI, Hong-Ning. Enhancing Bitcoin Price Fluctuation Prediction Using Attentive LSTM and Embedding Network. Applied Sciences, 2020.
MINGXIAO, Du et al. A Review on Consensus Algorithm of Blockchain. IEEE International Conference on Systems, Man, and Cybernetics, 2017.
MISHKIN, Frederic S. The Economics of Money, Banking, and Financial Markets. 11. ed. Global Edition. Harlow: Pearson Education, 2016.
NAKAMOTO, Satoshi. Bitcoin: A Peer-to-Peer Electronic Cash System. 2008.
NARAYANAN, Arvind et al. Bitcoin and Cryptocurrency Technologies. Princeton University Press, 2016.
POON, Joseph; DRYJA, Thaddeus. The Bitcoin Lightning Network: Scalable Off-Chain Instant Payments. 2016.
SEZER, Omer Berat; GUDELEK, M. Ugur; OZBAYOGLU, Ahmet Murat. Financial Time Series Forecasting with Deep Learning: A Systematic Literature Review, 2005–2019. Applied Soft Computing, 2020.
SEZER, Omer Berat; OZBAYOGLU, Ahmet Murat. Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach. Applied Soft Computing, 2018.
TAPSCOTT, Don; TAPSCOTT, Alex. Blockchain Revolution. New York: Portfolio/Penguin, 2016.
TASCA, Paolo; HAYES, Adam; LIU, Shaowen. The Evolution of the Bitcoin Economy: Extracting and Analyzing the Network of Payment Relationships. The Journal of Risk Finance, v. 19, n. 2, 2018.
VUJIČIĆ, Dejan; JAGODIĆ, Dijana; RANĐIĆ, Siniša. Blockchain Technology, Bitcoin, and Ethereum: A Brief Overview. University of Kragujevac, 2018.
YAKOVENKO, Anatoly. Solana: A New Architecture for a High Performance Blockchain. Solana, 2018.
ZUÑIGA, Mariana. Bitcoin Mining Is Big Business in Venezuela, but the Government Wants to Shut It Down. The Washington Post, 10 mar. 2017. Disponível em: https://www.washingtonpost.com/news/worldviews/wp/2017/03/10/bitcoin-mining-is-big-business-in-venezuela-but-the-government-wants-to-shut-it-down/. Acesso em: 06/12/2024.
