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Journal articles on the topic 'Altcoins'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Ritonga, Huan Margana, Zara Yunizar, and Hafizh Al Kautsar Aidilof. "Fundamental Analysis in Choosing Altcoins in Cryptocurrency With Preference Selection Index Method." International Journal of Engineering, Science and Information Technology 5, no. 2 (2025): 352–55. https://doi.org/10.52088/ijesty.v5i2.848.

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Cryptocurrency has become one of the most intriguing topics in finance and technology in recent years. With the growing prominence of Bitcoin, the rise of altcoins (alternative cryptocurrencies) also demonstrates significant potential within the cryptocurrency market. Altcoins, which include all cryptocurrencies other than Bitcoin, offer diverse functionalities and use cases, ranging from smart contracts to decentralized finance (DeFi) applications. This thesis identifies the altcoin options with the best investment opportunities and the highest growth potential. The study employs the Preferen

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2

Guo, Kexuan. "The Relationship Between Safe -haven Property and Cryptocurrency Market: Taking Bitcoin as an example." Frontiers in Business, Economics and Management 9, no. 3 (2023): 15–19. http://dx.doi.org/10.54097/fbem.v9i3.9429.

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In this paper, the main research is whether Bitcoin has the property of hedge currency. It also shows how bitcoin and cryptocurrencies have fared in financial crises over the past 20 years. This is despite the fact that the volatility of bitcoin has long been debated around the world, and most people believe that a volatile and highly volatile currency is not a safe haven. But the fact is, although the birth time of bitcoin is very short, but in every financial crisis, it has a strong ability to rise, so to some extent, Bitcoin is actually a very realistic hedging property. And among cryptocur

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Aysan, Ahmet Faruk, Asad Ul Islam Khan, and Humeyra Topuz. "Bitcoin and Altcoins Price Dependency: Resilience and Portfolio Allocation in COVID-19 Outbreak." Risks 9, no. 4 (2021): 74. http://dx.doi.org/10.3390/risks9040074.

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The main aim of this article is to examine the inter-relationships among the top cryptocurrencies on the crypto stock market in the presence and absence of the COVID-19 pandemic. The nine chosen cryptocurrencies are Bitcoin, Ethereum, Ripple, Litecoin, Eos, BitcoinCash, Binance, Stellar, and Tron and their daily closing price data are captured from coinmarketcap over the period from 13 September 2017 to 21 September 2020. All of the cryptocurrencies are integrated of order 1 i.e., I(1). There is strong evidence of a long-run relationship between Bitcoin and altcoins irrespective of whether it

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Abdul Rahim, Ruzita, Pick Soon Ling, and Muhammad Airil Syafiq Mohd Khalid. "ASSESSING THE PREDICTABILITY OF CRYPTOCURRENCY PRICES." Malaysian Management Journal 25 (July 9, 2021): 143–68. http://dx.doi.org/10.32890/mmj2021.25.6.

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The predictability of asset prices works against the notion of an efficient market where asset prices reflect all available and relevant information. This paper examined the predictability of Bitcoin and 51 other cryptocurrencies that have been classified into the following five categories: Application, Payment, Privacy, Platform, and Utility. Two market efficiency tests (Ljung-Box autocorrelation and Runs tests) were run on the daily returns of the 52 unique cryptocurrencies and the MSCI World index from 28 April 2013 to 30 June 2019. The results showed that Bitcoin was consistently efficient

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СУГАИПОВ, С.-А. А., Р. И. АХЪЯДОВ, and Р. С. ЗАРИПОВА. "FROM BITCOIN TO ALTCOINS: TRACKING THE EVOLUTION OF CRYPTOCURRENCIES." Экономика и предпринимательство, no. 11(160) (December 21, 2023): 336–38. http://dx.doi.org/10.34925/eip.2023.160.11.062.

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Данная статья посвящена эволюция криптовалют, от происхождения биткоина до появления альтернатив и инновационных технологий. В ней рассматриваются изменения в области сбора средств, достижения в криптографии, ориентированной на конфиденциальность, а также исследуются децентрализованные финансы. В статье также рассматривается влияние национальных центральных банков, предлагая представление о будущих тенденциях в этой динамичной экосистеме. This article is devoted to the evolution of cryptocurrencies, from the origin of bitcoin to the emergence of alternatives and innovative technologies. It exa

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Nguyen, Thai Vu Hong, Binh Thanh Nguyen, Thanh Cong Nguyen, and Quang Quoc Nguyen. "Bitcoin return: Impacts from the introduction of new altcoins." Research in International Business and Finance 48 (April 2019): 420–25. http://dx.doi.org/10.1016/j.ribaf.2019.02.001.

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Cagli, Efe Caglar. "Explosive behavior in the prices of Bitcoin and altcoins." Finance Research Letters 29 (June 2019): 398–403. http://dx.doi.org/10.1016/j.frl.2018.09.007.

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Батура, А. И., А. Е. Шумилина, and М. Г. Бич. "CORRELATION ANALYSIS OF GLOBAL FINANCIAL MARKETS WITH THE IMPLEMENTATION OF THE CAPITALIZATION INDEX OF ALTCOINS." Chronoeconomics, no. 2(44) (May 12, 2024): 22–28. http://dx.doi.org/10.62832/d3659-5441-1636-d.

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Статья посвящена исследованию финансового инжиниринга и корреляционного анализа. В ходе исследования проводился анализ доходности и риска финансовых рынков, а также был задействован корреляционный анализ мировых финансовых рынков. На основе данных по средневзвешенной капитализации активов производилось построение индекса топ 10 альткойнов. Далее рассматривался индекс альткоинов по сравнению с другими активами и рынками, в результате чего строилась корреляционная матрица, на основе которой определяется аллокация активов. Целью данного исследования является создание индекса, отражающего динамику

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Deniz, Pinar, and Thanasis Stengos. "Cryptocurrency Returns before and after the Introduction of Bitcoin Futures." Journal of Risk and Financial Management 13, no. 6 (2020): 116. http://dx.doi.org/10.3390/jrfm13060116.

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This paper examines the behaviour of Bitcoin returns and those of several other cryptocurrencies in the pre and post period of the introduction of the Bitcoin futures market. We use the principal component-guided sparse regression (PC-LASSO) model to analyze several sample sizes for the pre and post periods. Besides the neighbourhood of the break time, the current period is also investigated as returns start to recover after some time. Search intensity is observed to be the most important variable for Bitcoin for all periods, whereas for the other cryptocurrencies there are other variables tha

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10

Ozaydin, Orhan. "Bitcoin s lagged effect on altcoins: a short-term research." Pressacademia 14, no. 1 (2021): 10–13. http://dx.doi.org/10.17261/pressacademia.2021.1477.

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11

Lee, Cheng-Wen, and Esentur Ivagov. "Cryptic Currencies: Bitcoin at its Peak." Metris: Jurnal Sains dan Teknologi 19, no. 01 (2018): 1–6. https://doi.org/10.25170/metris.v19i01.2716.

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The cryptocurrencies are digital currencies that were initially designated to replace the old ones. However, they act as investment assets and many treat them like stocks. The market for cryptocurrencies counts more than 1600 types and the Bitcoin is the first and foremost of all of them. In one year the price of Bitcoin grew staggering 2000 percent. Other currencies have not seen this type of rising. This study investigates the period of over 4 years of data for 5 cryptocurrencies, the three years before and the last year of hyper-growth of the Bitcoin. We used GARCH model to see if two perio

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Kumar, A. Rajesh, S. Madhu, and A. Haripriya. "Deep Learning Based Adaptive Multimodal System for Bitcoin Price Prediction." International Journal for Research in Applied Science and Engineering Technology 11, no. 1 (2023): 1329–37. http://dx.doi.org/10.22214/ijraset.2023.48800.

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Abstract: Cryptocurrencies are the best example of Blockchain. And the Blockchain is a decentralized network where they are multiple nodes that control the network. Bitcoin established itself as the first decentralised cryptocurrency in 2009. Bitcoin revolutionized the crypto world and all other cryptocurrencies other than bitcoin such as Ethereum, Ripple, etc. are called altcoins. In the crypto market, the price of bitcoin reflects the other cryptocurrencies. Therefore, our intention is to create prediction models which uses deep learning concepts for bitcoin and to forecast its future price.

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Mutoko, Wilbert R., and Tapiwa Gande. "Why should Business schools teach blockchain technology? The case of Botswana Accountancy College." European Scientific Journal, ESJ 17, no. 32 (2021): 349. http://dx.doi.org/10.19044/esj.2021.v17n32p349.

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In this digital era, tertiary education institutions students need to be acquainted with the latest technology such as blockchain, to equip them for industry readiness. There is a paradigm shift in blockchain technology. Thus, business schools would do well to teach tertiary students about blockchain technology which in turn can help them to solve real-life and industry challenges efficiently and effectively. This paper aimed to investigate tertiary students’ awareness and competency of blockchain technology and cryptocurrency. The paper’s objectives were to assess students’ level of knowledge

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Obeng, Cosmos, and Cleophas Attor. "INTERCONNECTION AMONG CRYPTOCURRENCIES: USING VECTOR ERROR CORRECTION MODEL." International Journal of Entrepreneurial Knowledge 10, no. 2 (2022): 24–41. http://dx.doi.org/10.37335/ijek.v10i2.157.

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The research paper aimed to investigate the relationship between the major popular cryptocurrencies in terms of market dominance and identify any pattern and/or causality between the short-run and long-run series. Cryptocurrency has received much attention because of media publicity and the financial returns it generates within a short time, with its associated risk level. This innovative financial research investigates for the first time by thoroughly analyzing nine top cryptocurrencies, excluding stablecoins. The study used the Vector Error Correction model to analyse how the various cryptoc

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Julianto Julianto. "Literasi Terhadap Teknologi Mata Uang Digital (Cryptocurrency) Pada Pendengar Setia Radio Prokom FEBI IAIN Pontianak." NUSANTARA Jurnal Pengabdian Kepada Masyarakat 3, no. 2 (2023): 97–107. http://dx.doi.org/10.55606/nusantara.v3i2.1198.

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Bitcoin and Altcoin are digital currencies (cryptocurrencies) that use blockchain technology, a technology that can monitor, supervise, record, and record every transaction that occurs in digital currency. Bitcoin is decentralized, meaning it is spread everywhere, not centralized and cannot be regulated by authorities or other institutions. In making transactions, it is very necessary to recognize digital currencies such as identity, core business, projects being developed, volume of demand and supply, and other indicators. The need to find out information about coins/crypto tokens before trad

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Kohale, Janvi Keshavrao, and Prof. Samata Athawale. "Bitcoin and Cryptocurrencies in Blockchain Technology." International Journal of Ingenious Research, Invention and Development (IJIRID) 3, no. 5 (2024): 518–23. https://doi.org/10.5281/zenodo.14217214.

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Cryptocurrency represents a revolutionary form of digital currency that utilizes cryptographic techniques for secure transactions, decentralized control, and transparency. Emerging from the conceptual framework laid out by Bitcoin in 2009, cryptocurrencies leverage blockchain technology to create distributed ledgers that record all transactions in a tamper-proof manner. This innovation facilitates peer-to-peer exchanges without the need for intermediaries like banks, thereby lowering transaction costs and enhancing accessibility. The ecosystem has expanded to include thousands of alternative c

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Corbet, Shaen, Paraskevi Katsiampa, and Chi Keung Marco Lau. "Measuring quantile dependence and testing directional predictability between Bitcoin, altcoins and traditional financial assets." International Review of Financial Analysis 71 (October 2020): 101571. http://dx.doi.org/10.1016/j.irfa.2020.101571.

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18

Donatelli Neto, Oswaldo, and Jéfferson Augusto Colombo. "O impacto de criptomoedas na performance de carteiras multiativos: Evidências para o Brasil." Brazilian Review of Finance 19, no. 4 (2021): 86–129. http://dx.doi.org/10.12660/rbfin.v19n4.2021.84354.

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Este artigo avalia o impacto da adição de criptomoedas em carteiras bem diversificadas sob a perspectiva de um investidor brasileiro. Partindo de portfólios-base compostos por ações (IBOV), renda fixa (IMAG), imóveis (IFIX), \emph{commodities} (OURO) e ativos internacionais (IVVB11), avalia-se o incremento no retorno ajustado ao risco a partir da inclusão de criptomoedas sob oito estratégias de alocação de ativos dentro e fora-da-amostra. Os resultados indicam que a inclusão de criptoativos aumenta os índices de Sharpe, Sortino e Omega para todas as estratégias analisadas. Dentre os grupos de

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19

ÖZYEŞİL, MUSTAFA, and MOHAMMAD AL-TARIFI. "MERGE OF THE TECHNİCAL ANALYSİS TYPES GİVES THE BEST RESULTS İN CRYPTOCURRENCY MARKET." IEDSR Association 6, no. 14 (2021): 89–97. http://dx.doi.org/10.46872/pj.312.

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Cryptocurrencies are a modern kind of financial instrument (Hudson & Urquhart, 2019), the first cryptocurrency is Bitcoin , proposed by who called Satoushi Nakamato (2008), as The open source was created on the proof-of-concept principle that transactions can be securely treated on a decentralized peer to peer network without the need for a central clearinghouse, which appeared 2009 ( Heid, 2013). The success of the bitcoin blazes a trail to what called ‘Altcoin” this expression means all the cryptocurrencies that set in motion after the victory of the bitcoin, these coins sell themselves

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Balcilar, Mehmet, and Huseyin Ozdemir. "On the Risk Spillover from Bitcoin to Altcoins: The Fear of Missing Out and Pump-and-Dump Scheme Effects." Journal of Risk and Financial Management 16, no. 1 (2023): 41. http://dx.doi.org/10.3390/jrfm16010041.

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This article examines the asymmetric volatility spillover effects between Bitcoin and alternative coin markets at the disaggregate level. We apply a frequency connectedness approach to the daily data of 11 major cryptocurrencies for the period from 1 September 2017 to 2 March 2022. We try to uncover the existence of the “fear of missing out” psychological effect and “pump-and-dump schemes” in the crypto markets. To do that, we estimate the volatility spillovers from Bitcoin to altcoin and the cryptos’ own risk spillovers during bull and bear markets. The spillover results from Bitcoin to altco

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Mincewicz, Wojciech. "CRYPTOCURRENCIES IN THE POLISH LEGAL SYSTEM – BASIC PROBLEMS AND CHALLENGES." Roczniki Administracji i Prawa 1, no. XXI (2021): 75–84. http://dx.doi.org/10.5604/01.3001.0015.2503.

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The article presents a sketch of the most important legal and normative problems and challenges that are directly related to the emergence and development of cryptocurrencies. The case study is Poland, where in the first phase of existence, Bitcoin and other altcoins were considered property rights. Since 2018, under the Act on counteracting money laundering and terrorist financing, thanks to the unification of European Union law, they are classified as virtual currencies. The challenges identified in the course of the analysis that must be addressed include: the problem of creating an effecti

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Leung, Tim, and Hung Nguyen. "Constructing cointegrated cryptocurrency portfolios for statistical arbitrage." Studies in Economics and Finance 36, no. 4 (2019): 581–99. http://dx.doi.org/10.1108/sef-08-2018-0264.

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Purpose This paper aims to present a methodology for constructing cointegrated portfolios consisting of different cryptocurrencies and examines the performance of a number of trading strategies for the cryptocurrency portfolios. Design/methodology/approach The authors apply a series of statistical methods, including the Johansen test and Engle–Granger test, to derive a linear combination of cryptocurrencies that form a mean-reverting portfolio. Trading systems are designed and different trading strategies with stop-loss constraints are tested and compared according to a set of performance metr

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Zilius, Karolis, Tasos Spiliotopoulos, and Aad Van Moorsel. "A Dataset of Coordinated Cryptocurrency-Related Social Media Campaigns." Proceedings of the International AAAI Conference on Web and Social Media 17 (June 2, 2023): 1112–21. http://dx.doi.org/10.1609/icwsm.v17i1.22219.

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The rise in adoption of cryptoassets has brought many new and inexperienced investors in the cryptocurrency space. These investors can be disproportionally influenced by information they receive online, and particularly from social media. This paper presents a dataset of crypto-related bounty events and the users that participate in them. These events coordinate social media campaigns to create artificial "hype" around a crypto project in order to influence the price of its token. The dataset consists of information about 15.8K cross-media bounty events, 185K participants, 10M forum comments a

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Ntonga Efoua, Fabien Clive, Françoise Okah Efogo, and Yanick Fredy Mvodo. "Cryptocurrencies: Opportunities and Challenges for the African Economies." Routledge Open Research 3 (November 1, 2024): 37. http://dx.doi.org/10.12688/routledgeopenres.18623.1.

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This paper proposes a reflection on the opportunities and the challenges of the use of digital means of payment (decentralised and regulated ones) in the African economies. In this perspective, we structure our reasoning around three axes. First, we try to show that digital currencies can serve as a lever for financial inclusion and the revolution of means of payment in an increasingly digitalization context. Second, we discuss the technical and the infrastructural constraints (deployment of the blockchain, electricity and Internet access) which condition the effective use of digital currencie

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K., Vinitha, and S. Vasantha Dr. "A Glimpse towards Bitcoin and its Reality Analysis on Mining and Protocol." International Journal of Trend in Scientific Research and Development 1, no. 5 (2017): 992–96. https://doi.org/10.31142/ijtsrd2384.

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Bitcoin has advanced as the most fruitful cryptographic currency in history. Since its launch in 2009. Bitcoin grew to comprise billions of dollars of economic value. Since then a lot of literature has been identi ed with concealed but vital properties of the system, exposed attacks, proposed promising alternatives, and singled out dif cult future challenges. This paper threw light to many related cryptocurrencies or 'altcoins' and enables a more insightful analysis of Bitcoin's properties. The researcher maps the space for providing analyses for bitcoin mining, bitcoin protocol, a

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Gupta, Anamika, Shikha Gupta, Smaran Das, Ajmera Prakash, Kartik Garg, and Shreyan Sarkar. "Using Historical Values and Social Media Sentiments to Predict Bitcoins and Altcoins Prices with Time Series Models - A Comprehensive Survey." Journal of Engineering Science and Technology Review 17, no. 4 (2024): 136–44. http://dx.doi.org/10.25103/jestr.174.16.

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CHALDAEVA`, Larisa A., and Arsenii A. DANILIN. "The history of blockchain technology and cryptocurrency market development." Finance and Credit 27, no. 4 (2021): 740–62. http://dx.doi.org/10.24891/fc.27.4.740.

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Subject. The article addresses the cryptocurrency market that originates from the creation of the world's first cryptocurrency, i.e. Bitcoin. It overviews the blockchain technology and mining procedures for the digital currency. Objectives. The purpose of the study is to evaluate trends in the cryptocurrency market within the historical aspects, perform a profound analysis of digital assets terminology, including the concept of forks, tokens and altcoins, investigate changes in the Bitcoin and alternative cryptocurrency market by analyzing the Bitcoin Dominance Index, which has suffered signif

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R, Harsha, Indra E, Thirugnana Sambandham, and Dr K. Panimozhi. "Decentralized Storage for Educational Resources." International Journal of Recent Technology and Engineering (IJRTE) 12, no. 2 (2023): 72–76. http://dx.doi.org/10.35940/ijrte.b7807.0712223.

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The growth of blockchain over the last ten years has been astounding: from bitcoin to over 2,000 altcoins, and from decentralized electronic payments to programmable transactions, by complicated tokens and smart contracts controlled by autonomous entities. The technological aspects of blockchain are developing at the same time as the new generation of blockchain applications are also developing. This paper considers one such sphere, to develop a decentralized solution for accessing Educational Resources which will alleviate the issues due to the single point of failure of centralized systems,

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Harsha, R., E. Indra, Sambandham Thirugnana, and K. Panimozhi Dr. "Decentralized Storage for Educational Resources." International Journal of Recent Technology and Engineering (IJRTE) 12, no. 2 (2023): 72–76. https://doi.org/10.35940/ijrte.B7807.0712223.

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<strong>Abstract: </strong>The growth of blockchain over the last ten years has been astounding: from bitcoin to over 2,000 altcoins, and from decentralized electronic payments to programmable transactions, by complicated tokens and smart contracts controlled by autonomous entities. The technological aspects of blockchain are developing at the same time as the new generation of blockchain applications are also developing. This paper considers one such sphere, to develop a decentralized solution for accessing Educational Resources which will alleviate the issues due to the single point of failu

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Candra, Dori Gusti Alex, Nurdi Afrianto, Idir Fitriyanto, Eka Sofiati, and Budi Permana. "Deep Learning-Based Bidirectional RNN for Cryptocurrency Price Prediction with Hyperparameter Tuning." Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi 4, no. 2 (2025): 82–91. https://doi.org/10.20885/snati.v4.i2.40389.

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Predicting cryptocurrency is difficult because it has high volatility, where prices can experience spikes or declines due to market dynamics. This study focuses on NameCoin, one of the oldest altcoins originating from Bitcoin. NameCoin was selected because it has relatively stable and extensive historical data. The objective of this study is to evaluate the performance of the Bidirectional Recurrent Neural Network (BiRNN) in predicting NameCoin price movements. This study employs an experimental method using historical data as input for the training process. Hyperparameter tuning is conducted

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Anisiuba, Chika Anastesia, Obiamaka P. Egbo, Felix C. Alio, et al. "Analysis of Cryptocurrency Dynamics in the Emerging Market Economies: Does Reinforcement or Substitution Effect Prevail?" SAGE Open 11, no. 1 (2021): 215824402110025. http://dx.doi.org/10.1177/21582440211002516.

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We analyzed cryptocurrency dynamics in the global U.S. dollar–denominated market and the emerging market economies (EMEs) with a view to ascertaining whether activities in these markets are predominantly shaped by reinforcement or substitution effect. Cryptocurrencies analyzed include the Bitcoins, Ethereum, Litecoin, Steller, Bitcoin Cash, and USD Tether. The results suggest that, on average, correlation between digital assets in the cryptocurrencies’ ecosystem is positive. However, there is evidence of an outlier with respect to the USD Tether (USDT) in the global market, revealing that the

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NTONGA EFOUA, Fabien Clive. "Cryptocurrencies: Genesis, typology and trends." Cahiers du cedimes 19, SI (2024): 85–105. https://doi.org/10.69611/cahiers19-hs-31.

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Based on the observation that there is chaos in the crypto-world and the need to regulate this ecosystem, this paper proposes: (i) to revisit the genesis and draw up a state of the art concerning the different forms of cryptocurrencies, (ii) suggest a typology in order to (iii) review the directions that could be taken by their development. From an academic view, in addition to Economics, this could be of interest to many other disciplinary fields, particularly Computer science, Law and History. Methodologically, this paper is based on a historical and dialectical approach. That allows us to d

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Guru, Dr Shivani. "A STUDY ON THE MARKET AND THE MOVEMENT ON CRYPTOCURRENCY." International Scientific Journal of Engineering and Management 04, no. 06 (2025): 1–9. https://doi.org/10.55041/isjem04278.

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ABSTRACT Cryptocurrency has rapidly emerged as a disruptive force in the global financial ecosystem, challenging the traditional notions of currency, value exchange, and financial regulation. This study aims to provide a comprehensive analysis of the cryptocurrency market and its dynamic price movements, with a special focus on the factors influencing its growth and volatility. The research delves into the origin and evolution of prominent cryptocurrencies such as Bitcoin, Ethereum, and other altcoins, examining their market capitalization trends, adoption rates, and use cases in various secto

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Erzurumlu, Yaman Omer, Tunc Oygur, and Alper Kirik. "One size does not fit all: external driver of the cryptocurrency world." Studies in Economics and Finance 37, no. 3 (2020): 545–60. http://dx.doi.org/10.1108/sef-01-2020-0018.

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Purpose Considering the different motivation for the creation of each of these cryptocurrencies, the purpose of this paper is to examine whether there is a dominant external factor in the cryptocurrency world. Using a novel two-step time and frequency independent methodology, the authors examine a large scope of cryptocurrencies and external factors within the same period, and analytical framework. Design/methodology/approach The examined cryptocurrencies are Bitcoin, Ethereum, Ripple, Litecoin, Monero and Dash. In total, 18 external factors from 5 factor families are selected based on the min

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Winotoatmojo, Hugo Prasetyo, Antonius Ary Setyawan, Akbar Ramadhan Hendraningrat, and Jovita Grace Setiawati. "Cryptocurrency Market Dynamics: Analyzing Trends And Patterns In Bitcoin." Dinasti International Journal of Education Management And Social Science 5, no. 4 (2024): 558–64. https://doi.org/10.38035/dijemss.v5i4.2553.

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Consumer demand for speed, comfort, and security in financial transactions is rising along with the globalization of the business. As a result, we require a payment method that is dependable and simple for bank clients. A payment system is a set of arrangements that facilitates the exchange of value between individuals and financial institutions on a national and international level in order to deliver payments. A literature review, or literature review, is the research design used here. A literature review is an explanation of the hypotheses, conclusions, and other research materials that are

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Kochergin, Dmitry, та Sergey Andryushin. "Digital assets, crypto-assets and digitаl currencies: Economic content and potential of convergence". St Petersburg University Journal of Economic Studies 39, № 4 (2023): 496–533. http://dx.doi.org/10.21638/spbu05.2023.403.

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The article is devoted to researching the nature of new economic categories (digital assets, cryptoassets and digital currencies) and identifying their essential features and functional relationships between them. The study developed an original interpretation and classification of cryptoassets and digital currencies, proposed a decision tree for attributing a digital asset to a particular type, identified the features of issuance and circulation of various cryptoassets and digital currencies. The study showed that not all digital assets are cryptoassets or digital currencies. Cryptoassets sho

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Gorchakova, T.E. "On the development of Crypto Industry of Japan." East Asia: Facts and Analytics 3 (October 4, 2022): 73–83. https://doi.org/10.24412/2686-7702-2022-3-73-83.

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Discussions around the essence, status and prospects of such a phenomenon as cryptocurrency have been conducted by scientists and practitioners around the world for more than ten years. Some see it as a threat to the security of the national economy, others as new financial opportunities. The legal regime of the crypto industry varies greatly across countries and is still uncertain in many of them. While some states have allowed transactions with cryptocurrencies, others have banned or restricted them. For example, the Ministry of Finance of the Russian Federation believes that the circulation

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Król, Michał, Alberto Sonnino, Mustafa Al-Bassam, Argyrios G. Tasiopoulos, Etienne Rivière, and Ioannis Psaras. "Proof-of-Prestige: A Useful Work Reward System for Unverifiable Tasks." ACM Transactions on Internet Technology 21, no. 2 (2021): 1–27. http://dx.doi.org/10.1145/3419483.

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As cryptographic tokens and altcoins are increasingly being built to serve as utility tokens, the notion of useful work consensus protocols is becoming ever more important. With useful work consensus protocols, users get rewards after they have carried out some specific tasks useful for the network. While in some cases the proof of some utility or service can be provided, the majority of tasks are impossible to verify reliably. To deal with such cases, we design “Proof-of-Prestige” (PoP)—a reward system that can run directly on Proof-of-Stake (PoS) blockchains or as a smart contract on top of

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Sitnik, A. A. "Behavioral Finance in the Digital Economy." Lex Russica 76, no. 4 (2023): 106–14. http://dx.doi.org/10.17803/1729-5920.2023.197.4.106-114.

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The paper reveals the essence of «behavioral finance»: it is a field of scientific knowledge that studies the influence of emotions, cognitive biases and social factors on financial decision-making. Behavior is an approach to the interaction of a person with the outside world. It is obvious that the study of behavior lies more in the plane of biology, physiology and psychology than in jurisprudence. At the same time, it should be understood that it is the behavior of legal entities that affects public relations, which, in turn, are regulated by the norms of law. The paper reveals the factors i

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Nechyporchuk, Mykhailo. "GLOBAL IMPERATIVES FOR THE DEVELOPMENT OF THE CRYPTOCURRENCY SEGMENT OF THE GLOBAL FINANCIAL MARKET." Economics & Education 10, no. 1 (2025): 39–46. https://doi.org/10.30525/2500-946x/2025-1-5.

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The development of the cryptocurrency segment within the global financial market has emerged as one of the most transformative phenomena of the digital economy over the past decade. The present study aims to analyse the global imperatives driving this development, focusing on the key trends, challenges, and opportunities shaping the cryptocurrency market. Methodology. This study uses a combination of analytical and comparative methodologies to examine the cryptocurrency segment within the global financial market. The analytical approach is used to assess the structural dynamics, market trends

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Khan, Asad Ul Islam, and William Bwando. "Are the Crypto Markets Shock Resilient to COVID-19? A Comparative Investigation of Trading Prices and Volumes." International Econometric Review 16, no. 2 (2025): 148–71. https://doi.org/10.33818/ier.1477175.

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The emergence of crypto currency as an alternative source of currency has been dubbed as one of the greatest phenomenon of the 21st century. Over the years, crypto currencies have grossly interrupted the traditional financial system and they continue to act as a catalyst for its revolution. However, cryptocurrencies have not been free from misery and controversies. The aim of this study is to explore and investigate empirically the impact of Covid-19 pandemic on price and volume dynamics in crypto markets. The study makes use of two data samples, but these samples are analyzed separately and i

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Gawade, Pranav. "Alt-coin Price Trend Prediction using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 1 (2022): 1139–42. http://dx.doi.org/10.22214/ijraset.2022.39988.

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Abstract: Nowadays, crypto currencies offers a new way of secure trading and exchanging and has become increasingly important in our financial system. However, predictions of this are still challenging. In recent years, Altcoin is the most valuable in the crypto currency market. However, prices of Altcoin have highly fluctuated which make them very difficult to predict. Hence, this project aims to discover the most efficient and highest accuracy model to predict Altcoin prices by using machine learning algorithms. In this project, we tried to estimate the Altcoin price precisely taking into co

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Ritonga, Huan Margana, Zara Yunizar, and Hafizh Al Kautsar Aidilof. "ANALISIS FUNDAMENTAL DALAM MEMILIH ALTCOIN PADA CRYPTOCURRENCY DENGAN PREFERENCE SELECTION INDEX (PSI) METHOD." TECHSI - Jurnal Teknik Informatika 15, no. 2 (2024): 1–14. https://doi.org/10.29103/techsi.v15i2.19000.

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Cryptocurrency telah menjadi salah satu topik yang menarik perhatian di dunia keuangan dan teknologi dalam beberapa tahun terakhir. Seiring dengan popularitas Bitcoin, munculnya altcoin (alternative coins) juga menunjukkan potensi besar dalam pasar cryptocurrency. Skripsi ini bertujuan untuk menentukan opsi altcoin dengan investasi paling bagus dan memiliki potensi kenaikan paling tinggi. Metode Preference Selection Index adalah metode yang paling tepat dan di pilih untuk kasus ini karena didasari dengan beberapa preferensi aalternatif dan juga kriteria yang mendukung.Web yang dikembangkan mem

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Vrydnyk, Volodymyr. "Digital currencies and their regulation: current challenges and monetary policy analysis." Scientific notes, no. 33 (December 25, 2023): 242–53. http://dx.doi.org/10.33111/vz_kneu.33.23.04.21.145.151.

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The article thoroughly investigates the topic of development and regulation of digital currencies. Considering the global spread of digital assets, particularly cryptocurrencies, the article analyzes current challenges arising in the context of monetary policy and financial stability. The article examines the main concepts of digital currencies, including blockchain technologies and decentralized finance, as well as the characteristics of the approach to regulating these new assets in view of potential challenges for lawmakers, regulators, and central banks. The impact of digital currencies on

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Wongsunopparat, Sumas, and Zhai Nanjun. "Study of Factors Influencing Consumer to Adopt Cryptocurrency." Business Management and Strategy 14, no. 2 (2023): 1. http://dx.doi.org/10.5296/bms.v14i2.21074.

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Cryptocurrencies have become one of the most traded financial assets in the last decade. The first half of 2022 will not be easily forgotten by the crypto faithful as it shifted investor sentiment after a monster cryptocurrency rally in 2021 that saw bitcoin (BTC) and altcoins scale multiple record peaks. Just as users were getting comfortable with their passive DeFi incomes, Terra and its non-collaterised stablecoin collapsed in a sensational turn of events. Three Arrows Capital (3AC), a crypto hedge fund that managed assets worth about $10bn at its peak, went bankrupt as falling crypto price

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Steinert, Lars, and Christian Herff. "Predicting altcoin returns using social media." PLOS ONE 13, no. 12 (2018): e0208119. http://dx.doi.org/10.1371/journal.pone.0208119.

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Gorchakova, T.E. "On the response of the global crypto companies to the sanctions against Russian crypto investors." East Asia: Facts and Analytics, no. 4 (December 30, 2022): 56–64. https://doi.org/10.24412/2686-7702-2022-4-56-64.

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A couple of years ago cryptocurrencies were the lot of enthusiasts. Having an electronic wallet with a few thousand bitcoins was not perceived as a sign of wealth or even prosperity, and the tokens were worth almost nothing. But the situation began to change when crypto billionaires, having earned their fortune exclusively on cryptocurrency, began to appear one after another. Digital currency, invented in 2008, has changed the world's understanding of money. Out of the control of banks or corporations, its price was completely dependent on supply and demand, and the potential profit, small

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Suryawijaya, Tito, Fisichella Andrew Laurent, and Margot Berger. "Optimizing AltCoin (ETH) Price Synchronization During the Bitcoin Dominance Era: A Comprehensive Phase Analysis with Vector Error Correction Model." Economics, Business, Accounting & Society Review 2, no. 3 (2023): 216–29. http://dx.doi.org/10.55980/ebasr.v2i3.101.

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The main objective of this research is to optimize the understanding of AltCoin price synchronization, with a focus on Ethereum, during different periods of Bitcoin dominance. This research uses secondary data through 162 observations for each cryptocurrency collected (BTC and ETH). The Vector Autoregressive (VAR)/Vector Error Correction Model (VECM) method is used as the analytical technique. The findings of this study have the potential to provide a strong foundation for the development of investment strategies in the cryptocurrency market. This study has identified different impact patterns

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Kim, Sun-Woong. "Performance on Altcoin Investment using Technical Trading Rules." Journal of the Korea Academia-Industrial cooperation Society 23, no. 6 (2022): 198–207. http://dx.doi.org/10.5762/kais.2022.23.6.198.

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Kim, Sun Woong. "Prediction Performance of Altcoin Price using Machine Learning Algorithm." Journal of Digital Contents Society 24, no. 1 (2023): 141–51. http://dx.doi.org/10.9728/dcs.2023.24.1.141.

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