A new grey system approach to forecast closing price of Bitcoin, Bionic, Cardano, Dogecoin, Ethereum, XRP Cryptocurrencies

Singh, Pawan Kumar; Pandey, Alok Kumar; Bose, Srinka

doi:10.1007/s11135-022-01463-0

Cited by 17 publications

(9 citation statements)

References 64 publications

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“…Arsy (2021) used it to forecast the demand of Toyota Avanza cars in Indonesia. Singh et al . (2022) used it to forecast the closing price of cryptocurrencies and showed it outperforming the classical grey model GM(1,1) in terms of forecast accuracy.…”

Section: Methodsmentioning

confidence: 99%

Grey forecast of electricity production from coal and renewable sources in the USA, Japan and China

Tulkinov

2023

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PurposeElectricity plays an essential role in nations' economic development. However, coal and renewables currently play an important part in electricity production in major world economies. The current study aims to forecast the electricity production from coal and renewables in the USA, China and Japan.Design/methodology/approachTwo intelligent grey forecasting models – optimized discrete grey forecasting model DGM (1,1,α), and optimized even grey forecasting model EGM (1,1,α,θ) – are used to forecast electricity production. Also, the accuracy of the forecasts is measured through the mean absolute percentage error (MAPE).FindingsCoal-powered electricity production is decreasing, while renewable energy production is increasing in the major economies (MEs). China's coal-fired electricity production continues to grow. The forecasts generated by the two grey models are more accurate than that by the classical models EGM (1,1) and DGM (1,1) and the exponential triple smoothing (ETS).Originality/valueThe study confirms the reliability and validity of grey forecasting models to predict electricity production in the MEs.

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Section: Methodsmentioning

confidence: 99%

Grey forecast of electricity production from coal and renewable sources in the USA, Japan and China

Tulkinov

2023

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“…The data collection process commenced with the acquisition of X data pertaining to nine popular cryptocurrencies: Cardano, Bitcoin, Binance, Dogecoin, Ethereum, Fantom, Matic, Shiba, and Ripple 57 . These specific cryptocurrencies were selected for inclusion in the dataset due to their widespread usage across various research studies conducted by different scholars 18 – 20 , 58 , 59 . This endeavor yielded a substantial dataset comprising 832,559 tweets spanning from September 2021 to March 2023.…”

Section: Datasetmentioning

confidence: 99%

Psycholinguistic and emotion analysis of cryptocurrency discourse on X platform

Tash,

Kolesnikova,

Ahani

et al. 2024

Sci Rep

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This paper provides an extensive examination of a sizable dataset of English tweets focusing on nine widely recognized cryptocurrencies, specifically Cardano, Binance, Bitcoin, Dogecoin, Ethereum, Fantom, Matic, Shiba, and Ripple. Our goal was to conduct a psycholinguistic and emotional analysis of social media content associated with these cryptocurrencies. Such analysis can enable researchers and experts dealing with cryptocurrencies to make more informed decisions. Our work involved comparing linguistic characteristics across the diverse digital coins, shedding light on the distinctive linguistic patterns emerging in each coin’s community. To achieve this, we utilized advanced text analysis techniques. Additionally, this work unveiled an understanding of the interplay between these digital assets. By examining which coin pairs are mentioned together most frequently in the dataset, we established co-mentions among different cryptocurrencies. To ensure the reliability of our findings, we initially gathered a total of 832,559 tweets from X. These tweets underwent a rigorous preprocessing stage, resulting in a refined dataset of 115,899 tweets that were used for our analysis. Overall, our research offers valuable perception into the linguistic nuances of various digital coins’ online communities and provides a deeper understanding of their interactions in the cryptocurrency space.

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“…-Cardano (ADA): Developed with a research-based approach by engineers, mathematicians, and cryptography experts, Cardano was launched in 2017. It's a proof-of-stake blockchain platform that aims to allow "changemakers, innovators, and visionaries" to bring about positive global change (Singh et al, 2023).…”

Section: Cryptocurrency As a Financial Phenomenonmentioning

confidence: 99%

Sosyal Medyada Kripto Para: Coin Piyasasına Yönelik Dijital Söylemin Analizi

DURMUŞ ŞENYAPAR

2024

İktisadi İdari Ve Siyasal Araştırmalar Dergisi

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This study delves into the dynamic landscape of public sentiment surrounding cryptocurrency through a comprehensive social media discourse analysis. Employing the Python Selenium library, data from 1000 public profiles across major platforms—Twitter, Facebook, Instagram, and LinkedIn—were systematically collected. Using advanced text-mining techniques in R Studio, sentiment analysis was conducted with the 'Syuzhet' package and word frequency analysis via the 'tm' package. The results unveiled a nuanced emotional landscape characterized by dominant sentiments of anticipation and positivity, interwoven with expressions of negativity, notably anger, and loss. Word frequency analysis highlighted key themes such as established cryptocurrencies (e.g., Bitcoin, Ethereum), blockchain technology, and practical and financial aspects of cryptocurrency usage. The study illuminated a blend of technical interest, financial speculation, and reactions to regulatory and economic developments. Offering insights crucial for stakeholders, including investors and policymakers, this research contributes to the academic understanding of public sentiment, emphasizing the volatile nature of crypto-currency markets and the transformative potential of blockchain technology and calls for ongoing monitoring of public sentiment to inform policy, investment, and technological innovation in the ever-evolving cryptocurrency ecosystem.

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A new grey system approach to forecast closing price of Bitcoin, Bionic, Cardano, Dogecoin, Ethereum, XRP Cryptocurrencies

Cited by 17 publications

References 64 publications

Grey forecast of electricity production from coal and renewable sources in the USA, Japan and China

Grey forecast of electricity production from coal and renewable sources in the USA, Japan and China

Psycholinguistic and emotion analysis of cryptocurrency discourse on X platform

Sosyal Medyada Kripto Para: Coin Piyasasına Yönelik Dijital Söylemin Analizi

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