Academic literature on the topic 'Bitcoin 2020'

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Journal articles on the topic "Bitcoin 2020"

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Gbolahan, Idowu, A., Rahman, O. Idris, and Balogun, A. Iyinoluwa. "Bitcoin Price Projections Using Geometric Brownian Motion: An Empirical Study of 2020–2024." International Journal of Research and Innovation in Applied Science X, no. IV (2025): 927–35. https://doi.org/10.51584/ijrias.2025.10040078.

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This study employs the Geometric Brownian Motion (GBM) model to forecast Bitcoin prices from 2020 to 2024. Given Bitcoin’s notorious volatility and unpredictability, accurate forecasting models are essential for investors, traders, and policymakers. The GBM model, known for its ability to capture stochastic price movements, is applied to historical Bitcoin price data to estimate drift and volatility parameters. The results indicate that the GBM model provides moderate predictive accuracy, with a mean absolute error (MAE) of 10% and a root mean squared percentage error (RMSPE) of 15%. Although
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Siauwijaya, Rahmat, and Dewi Sanjung. "Bitcoin, Gold, the Indonesian Stock Market, and Exchange Rate: GARCH Volatility Analysis." Business Economic, Communication, and Social Sciences Journal (BECOSS) 4, no. 3 (2022): 197–206. http://dx.doi.org/10.21512/becossjournal.v4i3.8671.

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Bitcoin has gained popularity as an investment asset because of its similarity to gold, which sparked the idea that bitcoin can be used as a hedging instrument to the fiat currency exchange rate. This paper aims to analyze bitcoin's volatility and return to gauge its feasibility as an investment asset, and hedging tool for the USD-IDR exchange rate with the GARCH and EGARCH models. With data on the daily closing price of bitcoin, gold, IDX composite index, and USD-IDR exchange rate from January 1, 2016, to December 31, 2020, the study attempts to find factors affecting bitcoin returns with the
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Fabus, Juraj, Iveta Kremenova, Natalia Stalmasekova, and Terezia Kvasnicova-Galovicova. "An Empirical Examination of Bitcoin’s Halving Effects: Assessing Cryptocurrency Sustainability within the Landscape of Financial Technologies." Journal of Risk and Financial Management 17, no. 6 (2024): 229. http://dx.doi.org/10.3390/jrfm17060229.

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This article explores the significance of Bitcoin halving events within the cryptocurrency ecosystem and their impact on market dynamics. While the existing literature addresses the periods before and after Bitcoin halving, as well as financial bubbles, there is an absence of forecasting regarding Bitcoin price in the time after halving. To address this gap and provide predictions of Bitcoin price development, we conducted a rigorous analysis of past halving events in 2012, 2016, and 2020, focusing on Bitcoin price behaviour before and after each occurrence. What interests us is not only the c
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Girón Castro, Lawrence. "BITCOIN." Realidad Empresarial, no. 10 (December 15, 2020): 14–18. http://dx.doi.org/10.5377/reuca.v0i10.10572.

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Veloso, Vinícius, Rafael Confetti Gatsios, Vinícius Medeiros Magnani, and Fabiano Guasti Lima. "Is Bitcoin’s Market Maturing? Cumulative Abnormal Returns and Volatility in the 2024 Halving and Past Cycles." Journal of Risk and Financial Management 18, no. 5 (2025): 242. https://doi.org/10.3390/jrfm18050242.

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This study examines how cumulative abnormal returns (CARs, the sum of abnormal returns over a period) and volatility behave around Bitcoin halving events, focusing on whether these patterns have evolved as the cryptocurrency market matures. Halvings are periodic events defined by Bitcoin’s algorithm, during which the reward—in the form of newly issued bitcoins—paid to miners for validating network transactions is reduced, impacting miners’ profitability and potentially influencing the asset’s price due to a decreased supply. To carry out the analysis, we collected data on returns and risk for
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Sihombing, Septiana, Muhammad Rizky Nasution, and Isfenti Sadalia. "Analisis Fundamental Cryptocurrency terhadap Fluktuasi Harga: Studi Kasus Tahun 2019-2020." Jurnal Akuntansi, Keuangan, dan Manajemen 2, no. 3 (2021): 213–24. http://dx.doi.org/10.35912/jakman.v2i3.373.

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Purpose: This study aimed to analyze cryptocurrency fundamentals against price fluctuations (case study 2019-2020). Research Methodology: The data in the research paper were accessed on the coinmarketcap.com website. The sample of this research is Bitcoin, Ethereum, Litecoin, and Bitcoin Cash. Results: The results show that: 1) Bitcoin Market Cap, Ethereum Market Cap, Litecoin Market Cap, Bitcoin Cash Market Cap have a positive and significant effect on price fluctuations. 2) Bitcoin Volume and Bitcoin Cash Volume have a positive and insignificant effect on price fluctuations. 3) Ethereum volu
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Romash, Kyrylo, and Evelina Kamyshnykova. "THE IMPACT OF MAJOR STOCK INDICES ON BITCOIN PRICE FLUCTUATIONS." Economic scope, no. 200 (May 9, 2025): 320–24. https://doi.org/10.30838/ep.200.320-324.

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This article examines the influence of the major stock indices' value on Bitcoin price fluctuations. The study focuses on the correlation between the absolute value of Bitcoin and the daily closing prices of leading stock market indices — namely, the S&P 500, Nasdaq Composite, and Dow Jones Industrial Average — based on daily time series data from 2020 to 2025. The paper spotlights the correlation analysis between the dynamics of daily changes (increases or decreases) in the closing prices of these indices and the corresponding changes in the price of Bitcoin over the same time frame. The
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Kurnaman, Carel Dwinugrahadi, and Nora Amelda Rizal. "The Relationship Between Bitcoin Returns, Volatility, And Volume Using Asymmetric Garch Modelling." JAF- Journal of Accounting and Finance 7, no. 1 (2023): 1. http://dx.doi.org/10.25124/jaf.v7i1.5565.

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In 2020-2021 where the world experienced a Covid-19 pandemic, the price of Bitcoin increased and there was a fairly high price spike at the turn of the year 2020-2021 and had touched an all-time high (ATH) at the end of 2021. Bitcoin is one of the currencies crypto that is volatile when compared to the exchange rates of widely used currencies. In addition, Bitcoin price movements are difficult to predict. The samples used are Euro, Pound Sterling, Yuan, Yen, Ruble, Franc, and Bitcoin. The data used is in the form of Bitcoin price data and some of these currencies in 2020-2021. This study aims
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Mironeanu, Alexandra, Beatrice Irimia, Valentina Săndulescu, and Casiana Teodoroiu. "The impact of Tesla’s bitcoin investment and its plans to accept it as payment method on the evolution of bitcoin." Proceedings of the International Conference on Business Excellence 15, no. 1 (2021): 58–74. http://dx.doi.org/10.2478/picbe-2021-0007.

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Abstract For the past years, cryptocurrencies have been a hot and controversial topic that has captured the attention of the whole tech world. Even if right now the portfolio of digital assets is considerable in size, the first cryptocurrency, Bitcoin, exploited its pioneer advantage and managed to remain at the center of attention both for the media and investors. During 2020, one of the most chaotic years, Bitcoin boomed in November 2020 almost doubling since the end of 2019. This boom is the result of a combination of factors, such as the fear of missing out translated into a chain reaction
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García-Medina, Andrés, and Toan Luu Duc Huynh. "What Drives Bitcoin? An Approach from Continuous Local Transfer Entropy and Deep Learning Classification Models." Entropy 23, no. 12 (2021): 1582. http://dx.doi.org/10.3390/e23121582.

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Bitcoin has attracted attention from different market participants due to unpredictable price patterns. Sometimes, the price has exhibited big jumps. Bitcoin prices have also had extreme, unexpected crashes. We test the predictive power of a wide range of determinants on bitcoins’ price direction under the continuous transfer entropy approach as a feature selection criterion. Accordingly, the statistically significant assets in the sense of permutation test on the nearest neighbour estimation of local transfer entropy are used as features or explanatory variables in a deep learning classificat
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Dissertations / Theses on the topic "Bitcoin 2020"

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Feng, Qi. "Correlation Between Bitcoin Adoption and Fiat Default in Venezuela." Scholarship @ Claremont, 2018. https://scholarship.claremont.edu/cmc_theses/2020.

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In recent years, Bitcoin has gained global mass adoption as an asset class. However, due to its characteristics of peer-to-peer direct borderless payment, anonymity and limited supply, Bitcoin has a special application in regions experiencing political and economic turmoil. It serves two functions: store of value and secure channel of transferring assets abroad. In this paper, I will only investigate the correlation between Bitcoin adoption and fiat default in Venezuela due to a limitation on empirical data. Time series FGLS regressions are employed to examine such correlation. The two Bitcoin
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Pignatti, Maurício Portieri. "The digital corrency and the challenges beyond the new global world's blockchain paradigm : a financial and tax overview of the virtual currency efficiency." Master's thesis, 2020. http://hdl.handle.net/10451/44644.

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The Blockchain technology that revolutionized the world was launched in 2008 with the publication of the paper undertitled ‘Bitcoin: A Peer-to-peer Electronic Cash System’, by the enigmatic pseudonym of Satoshi Nakamoto, which described a version of electronic cash that allowed online payments to be directly made from one party to another. Succeeding the ground-breaking transformation that was carried out, cryptocurrencies commenced to shift the monetary system to a predominantly digital one, more adapted to the reality of a fast, technological, audacious and computerized world, interconnected
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Sena, Irina de Sousa. "A tributação da moeda virtual." Master's thesis, 2020. http://hdl.handle.net/10451/44509.

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Deloras, Sacha, and 羅德. "THE EVOLUTION OF THE BITCOIN BUSINESS ECOSYSTEM FROM 2010 TO 2015: A VISUALIZATION APPROACH." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/a5nnrc.

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碩士<br>國立中山大學<br>人力資源管理全英語碩士學位學程<br>106<br>Bitcoin is a decentralised digital currency system conceived by a mysterious individual or group using going by the pseudonym “Satoshi Nakamoto”. The concept will most certainly revolutionise our conception of money and of value transfer in general. Despite a discreet launch in 2009, it developed itself into a multi-billion dollar industry in a few years, and was followed by the emergence of many other cryptocurrencies. Little research was conducted so far to analyse the dynamic ecosystems that were created around these networks. The purpose of this pr
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Luz, Joana Alexandra Giraldes Vieira. "Regulação e criptomoedas." Master's thesis, 2021. http://hdl.handle.net/10451/48058.

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O presente trabalho tem como propósito identificar, analisar e explorar o estudo e dinâmicas das criptomoedas, enfatizando a evolução constante do sistema financeiro perante estas, descrevendo e caracterizando as moedas virtuais, como também demonstrando os modelos alternativos concorrenciais criados e outros ainda em projeto piloto, por forma a combater as falhas de mercado associadas às criptomoedas. É descrito todo o processo que acompanha o percurso destas moedas, a sua complexidade e as diversas diferenças que existem perante as restantes moedas. É exposto as vantagens e desvantagens asso
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Books on the topic "Bitcoin 2020"

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Bitcoin 200$ A Day One Time Setup. Xpresnvdy, 2020.

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Autopilot v4 2020 BITCOIN METHOD. Im, 2020.

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Free Bitcoin No Investment 2020 Autopilot. Free BTC Auto, 2020.

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Make Easy Bitcoin Method Autopilot 2020. rub 0, 2020.

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bitcoin money making 2020 auto pilot easy. trogangig, 2020.

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Villalta, Stefan. BITCOIN and BLOCKCHAIN: Todas Las Respuestas 2018-2019-2020. Independently Published, 2018.

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How To Get Free Bitcoin - Automated Way - Updated 2020. adadas, 2020.

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Arcement, Erik. Essential Book on Bitcoin : a Must-Read for Those Who Are Intending to Join This Wonderful World of Bitcoin: Bitcoin Books 2020. Independently Published, 2021.

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Bitcoin 100$ in 10 minutes 17 12-2020: Easy and Fast. Crypto Bitch, 2020.

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Ruhnau, Matthias, and Cryptofitter Deutschland. -Bitcoin 2020- Zukunftsaussichten und Investitionsmöglichkeiten Für Kryptowährungen: Kompakt und Informativ - Für Anfänger und Fortgeschrittene. Independently Published, 2019.

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Book chapters on the topic "Bitcoin 2020"

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Mun, Hyunsu, Soohyun Kim, and Youngseok Lee. "A RDBMS-Based Bitcoin Analysis Method." In Information Security and Cryptology – ICISC 2020. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68890-5_13.

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Kamenski, Dimitri, Arash Shaghaghi, Matthew Warren, and Salil S. Kanhere. "Attacking with Bitcoin: Using Bitcoin to Build Resilient Botnet Armies." In 13th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2020). Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57805-3_1.

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Shi, Cheng, and Kazuki Yoneyama. "Formal Verification of Fair Exchange Based on Bitcoin Smart Contracts." In Progress in Cryptology – INDOCRYPT 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65277-7_5.

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Kurt, Ahmet, Enes Erdin, Mumin Cebe, Kemal Akkaya, and A. Selcuk Uluagac. "LNBot: A Covert Hybrid Botnet on Bitcoin Lightning Network for Fun and Profit." In Computer Security – ESORICS 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59013-0_36.

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Lu, Houhan. "Bitcoin Trading using LSTM." In Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022). Atlantis Press International BV, 2023. http://dx.doi.org/10.2991/978-94-6463-102-9_153.

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Halang, Wolfgang A., and Mario M. Kubek. "Bitcoin Considered Harmful." In Proceedings of the 18th International Conference on Computing and Information Technology (IC2IT 2022). Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99948-3_13.

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Li, Shaoyu, Shanghao Shi, Yang Xiao, Chaoyu Zhang, Y. Thomas Hou, and Wenjing Lou. "Bijack: Breaking Bitcoin Network with TCP Vulnerabilities." In Computer Security – ESORICS 2023. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-51479-1_16.

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Ehara, Takashi, and Hiroshi Takahashi. "Bitcoin Fraudulent Transaction Detection Vulnerability." In Agents and Multi-agent Systems: Technologies and Applications 2023. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3068-5_17.

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Zhang, Yaodan. "The Future of Bitcoins." In Proceedings of the 2022 International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2022). Atlantis Press International BV, 2022. http://dx.doi.org/10.2991/978-94-6463-052-7_122.

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Jacquot, Vincent, and Benoit Donnet. "Chaussette: A Symbolic Verification of Bitcoin Scripts." In Computer Security. ESORICS 2023 International Workshops. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54204-6_22.

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Conference papers on the topic "Bitcoin 2020"

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Kumar, Ajay, Abhishek Kumar, Pranav Nerurkar, et al. "Empirical Analysis of Bitcoin network (2016-2020)." In 2020 IEEE/CIC International Conference on Communications in China (ICCC Workshops). IEEE, 2020. http://dx.doi.org/10.1109/icccworkshops49972.2020.9209945.

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Kalamen, Kristián, Adrien Audoin, Rastislav Solej, and František Pollák. "The market dance between the rhythm of bitcoin prices and the S&P 500 Index." In 14th International Scientific Conference „Business and Management 2024“. Vilnius Gediminas Technical University, 2024. http://dx.doi.org/10.3846/bm.2024.1251.

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The financial markets experienced a thrilling saga between 2020 and 2023, characterised by a series of unprecedented events and captivating dynamics that set the stage for a compelling exploration of the interaction between bitcoin prices and the S&amp;P 500 Index. This study systematically examines the correlation between bitcoin prices and the S&amp;P 500 Index using the Yahoo Finance dataset over a 48-month period. Using the extensive Yahoo Finance dataset and the analytical capabilities of R Statistics &amp; R Studio, the present research covers a comprehensive period of 48 months (2020-20
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Wallace, Victoria, and Sandra Scott-Hayward. "Can SDN deanonymize Bitcoin users?" In ICC 2020 - 2020 IEEE International Conference on Communications (ICC). IEEE, 2020. http://dx.doi.org/10.1109/icc40277.2020.9148936.

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Crawford, Jesse, and Yong Guan. "Knowing your Bitcoin Customer: Money Laundering in the Bitcoin Economy." In 2020 13th International Conference on Systematic Approaches to Digital Forensic Engineering (SADFE). IEEE, 2020. http://dx.doi.org/10.1109/sadfe51007.2020.00013.

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Zhang, Yuhang, Jun Wang, and Fei Zhao. "Transaction Community Identification in Bitcoin." In 2020 13th International Symposium on Computational Intelligence and Design (ISCID). IEEE, 2020. http://dx.doi.org/10.1109/iscid51228.2020.00038.

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Amanzholova, Saule, Nurbek Tastan, Kamila Kalkamanova, and Amina Yessenalina. "Valid and Invalid Bitcoin Transactions." In ICEMIS'20: The 6th International Conference on Engineering & MIS 2020. ACM, 2020. http://dx.doi.org/10.1145/3410352.3410736.

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Dias, Rui, Mariana Chambino, Paulo Alexandre, and Rosa Galvão. "Bridging Markets: Exploring Short-Term Trends in Cryptocurrencies and Green Finance." In Ninth International Scientific-Business Conference LIMEN Leadership, Innovation, Management and Economics: Integrated Politics of Research. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2023. http://dx.doi.org/10.31410/limen.2023.175.

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This study examined the short-term dynamics between Bitcoin, Ethereum, Litecoin, Clean Energy Fuels, and WilderHill Clean Energy over the period from January 1, 2020, to May 30, 2023. Bitcoin saw substantial price fluctuations over 10 days, highlighting its inherent volatility and rapid shifts in value. In contrast, Ethereum and Litecoin showed more gradual fluctuations. The price movements of digital currencies exhibited a mix of positive and neg­ative trends when compared to the Clean Energy Fuels and WilderHill indexes, suggesting a correlation with energy-related assets. Clean Energy Fuels
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Otsuki, Kai, Ryohei Banno, and Kazuyuki Shudo. "Quantitatively Analyzing Relay Networks in Bitcoin." In 2020 IEEE International Conference on Blockchain (Blockchain). IEEE, 2020. http://dx.doi.org/10.1109/blockchain50366.2020.00034.

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Misic, Jelena, Vojislav B. Misic, and Xiaolin Chang. "On the Benefits of Compact Blocks in Bitcoin." In ICC 2020 - 2020 IEEE International Conference on Communications (ICC). IEEE, 2020. http://dx.doi.org/10.1109/icc40277.2020.9149418.

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Gaži, Peter, Aggelos Kiayias, and Alexander Russell. "Tight Consistency Bounds for Bitcoin." In CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security. ACM, 2020. http://dx.doi.org/10.1145/3372297.3423365.

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Reports on the topic "Bitcoin 2020"

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Chamanara, Sanaz, and Kaveh Madani. The Hidden Environmental Cost of Cryptocurrency: How Bitcoin Mining Impacts Climate, Water and Land. United Nations University Institute for Water, Environment and Health (UNU INWEH), 2023. http://dx.doi.org/10.53328/inr23asc02.

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Based on a multi-attribute assessment of the environmental impacts and challenges associated with global Bitcoin (BTC) mining activities around the globe, we call for urgent action by the scientific, policy, and advocacy communities. The worldwide BTC mining network consumed 173.42 TWh of electricity during the 2020–2021 period, bigger than the electricity consumption of most nations. The mining process emitted over 85.89 Mt of CO2eq in the same timeframe, equivalent to the emission caused by burning 84 billion pounds of coal or running 190 natural gas-fired power plants. The environmental foo
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Warin, Thierry, Nathalie de Marcellis-Warin, and Robert Normand. Mieux comprendre le niveau d’adoption Des cryptoactifs au Québec. CIRANO, 2022. http://dx.doi.org/10.54932/cswf3465.

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Les cryptoactifs se développent de façon exponentielle au sein de l’économie mondiale. Les cryptomonnaies représentent la principale composante des cryptoactifs dont la plus connue est le Bitcoin. Les cryptoactifs partagent bon nombre des caractéristiques des cryptomonnaies mais il y a généralement une deuxième couche de fonctionnalités comme les contrats intelligents. La technologie liée aux cryptoactifs présente certes de nouvelles opportunités mais également des risques. Dans ce contexte, il est important, pour un régulateur de mieux comprendre le niveau d’adoption des cryptomonnaies de la
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