The Impact of Academic Publications over the Last Decade on Historical Bitcoin Prices Using Generative Models

Bâra, Adela; Oprea, Simona-Vasilica

doi:10.3390/jtaer19010029

Cited by 3 publications

(2 citation statements)

References 75 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some researchers' works compare the development not only of Bitcoin but also of other cryptocurrencies (Albrecher et al 2022;Bakhtiar et al 2023;Cengiz 2021;Gkillas and Longin 2019;Katanich 2024;Kawaguchi and Noda 2022;Lucking et al 2019;Rashid et al 2023;Sen and Jena 2022;Singla et al 2023;Touloupou et al 2022;Trucíos and Taylor 2023;Vaddadi et al 2023;Yuan et al 2022). A different point of view was used in other works (Bâra and Oprea 2024;Eksi and Schreitl 2022;Hayes 2015;Lasi and Saul 2020;Samizadeh 2024a;Jiménez et al 2024), with use of models to analyse and predict the market and price changes.…”

Section: Introductionmentioning

confidence: 99%

An Empirical Examination of Bitcoin’s Halving Effects: Assessing Cryptocurrency Sustainability within the Landscape of Financial Technologies

Fabus,

Kremenova,

Stalmasekova

et al. 2024

JRFM

View full text Add to dashboard Cite

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 change in the price level of Bitcoins (top and bottom), but also when this turn occurs. Through synthesizing data and trends from previous events, this article aims to uncover patterns and insights that illuminate the impact of Bitcoin halving on market dynamics and sustainability, movement of the price level, the peaks reached, and price troughs. Our approach involved employing methods such as RSI, MACD, and regression analysis. We looked for the relationship between the price of Bitcoin (top and bottom) and the number of days after the halving. We have uncovered a mathematical model, according to which the next peak will be reached 19 months (in November 2025) and the trough 31 months after Bitcoin halving 2024 (in November 2026). Looking towards the future, this study estimates predictions and expectations for the upcoming Bitcoin halving. These discoveries significantly enhance our understanding of Bitcoin’s trajectory and its implications for the finance cryptocurrency market. By offering novel insights into cryptocurrency market dynamics, this study contributes to advancing knowledge in the field and provides valuable information for cryptocurrency markets, investors, and stakeholders.

show abstract

Section: Introductionmentioning

confidence: 99%

An Empirical Examination of Bitcoin’s Halving Effects: Assessing Cryptocurrency Sustainability within the Landscape of Financial Technologies

Fabus,

Kremenova,

Stalmasekova

et al. 2024

JRFM

View full text Add to dashboard Cite

show abstract

“…In the work of some experts, we can find thoughts and comparisons of Bitcoin with fiat currencies and, or gold (Jiménez et al 2024;Baur and Mcdermott 2009;Dyhrberg 2016). In fact, the Commodity Futures Trading Commission (CFTC), states that Bitcoin is determined to be a commodity (as gold) under the Commodity Exchange Act (Lucking et al 2019).…”

Section: Introductionmentioning

confidence: 99%

An Empirical Examination of Bitcoin’s Halving Effects: Assessing Cryptocurrency Sustainability within the Landscape of Financial Technologies

Fabuš,

Kremeňová,

Stalmašeková

et al. 2024

Preprint

View full text Add to dashboard Cite

This article delves into the complex landscape of Bitcoin halving events, analyzing the historical context and implications of these pivotal occurrences within the cryptocurrency ecosystem and on its sustainability within the landscape of financial technologies. Through an examination of past halving events in 2012, 2016, and 2020, this study meticulously scrutinizes the conditions and prices of Bitcoin before and after each halving. By synthesizing data and trends from previous events, this article aims to uncover patterns and insights that illuminate the impact of Bitcoin halving on market dynamics and sustainability, movement of the price level, reached peaks and price troughs. Furthermore, this research presents a comparative analysis of past halving events, drawing parallels and distinctions to elucidate the evolving nature of Bitcoin's price movements and market sentiment surrounding these milestone events. Looking towards the future, this study estimates predictions and expectations for the upcoming Bitcoin halving. By unraveling the intricate relationship between Bitcoin halving events and market behavior, this article seeks to provide a comprehensive understanding of the broader implications for Bitcoin's trajectory and the evolving landscape of the cryptocurrency market and its sustainability.

show abstract

Discovering public attitudes and emotions toward educational robots through online reviews: a comparative analysis of Weibo and Twitter

Wang,

Wan,

Feng

et al. 2024

View full text Add to dashboard Cite

PurposePublic reviews on educational robots are of great importance for the design, development and management of the most advanced robots with an educational purpose. This study explores the public attitudes and emotions toward educational robots through online reviews on Weibo and Twitter by using text mining methods.Design/methodology/approachOur study applied topic modeling to reveal latent topics about educational robots through online reviews on Weibo and Twitter. The similarities and differences in preferences for educational robots among public on different platforms were analyzed. An enhanced sentiment classification model based on three-way decision was designed to evaluate the public emotions about educational robots.FindingsFor Weibo users, positive topics tend to the characteristics, functions and globalization of educational robots. In contrast, negative topics are professional quality, social crisis and emotion experience. For Twitter users, positive topics are education curricula, social interaction and education supporting. The negative topics are teaching ability, humanistic care and emotion experience. The proposed sentiment classification model combines the advantages of deep learning and traditional machine learning, which improves the classification performance with the help of the three-way decision. The experiments show that the performance of the proposed sentiment classification model is better than other six well-known models.Originality/valueDifferent from previous studies about attitudes analysis of educational robots, our study enriched this research field in the perspective of data-driven. Our findings also provide reliable insights and tools for the design, development and management of educational robots, which is of great significance for facilitating artificial intelligence in education.

show abstract

The Impact of Academic Publications over the Last Decade on Historical Bitcoin Prices Using Generative Models

Cited by 3 publications

References 75 publications

An Empirical Examination of Bitcoin’s Halving Effects: Assessing Cryptocurrency Sustainability within the Landscape of Financial Technologies

An Empirical Examination of Bitcoin’s Halving Effects: Assessing Cryptocurrency Sustainability within the Landscape of Financial Technologies

An Empirical Examination of Bitcoin’s Halving Effects: Assessing Cryptocurrency Sustainability within the Landscape of Financial Technologies

Discovering public attitudes and emotions toward educational robots through online reviews: a comparative analysis of Weibo and Twitter

Contact Info

Product

Resources

About