Understanding cryptocurrencies

WK Härdle, CR Harvey… - Journal of Financial …, 2020 - academic.oup.com
Cryptocurrency refers to a type of digital asset that uses distributed ledger, or blockchain,
technology to enable a secure transaction. Although the technology is widely …

[HTML][HTML] Impact of macroeconomic news, regulation and hacking exchange markets on the volatility of bitcoin

Š Lyócsa, P Molnár, T Plíhal, M Širaňová - Journal of Economic Dynamics …, 2020 - Elsevier
We study whether news and sentiment about bitcoin regulation, the hacking of bitcoin
exchanges and scheduled macroeconomic news announcements affect the volatility of …

Bitcoin price and its marginal cost of production: support for a fundamental value

AS Hayes - Applied economics letters, 2019 - Taylor & Francis
This study back-tests a marginal cost of production model proposed to value the digital
currency Bitcoin. Results from both conventional regression and vector autoregression …

[HTML][HTML] Risk substitution in cryptocurrencies: evidence from BRICS announcements

JW Goodell, I Alon, L Chiaramonte, A Dreassi… - Emerging Markets …, 2023 - Elsevier
We investigate the impact of BRICS regulatory announcements on cryptocurrency volatilities
and returns. Results evidence risk substitutions after announcements moving from ETH …

Does market attention affect Bitcoin returns and volatility?

G Figa-Talamanca, M Patacca - Decisions in Economics and Finance, 2019 - Springer
In this paper, we analyze the relative impact of attention measures either on the mean or on
the variance of Bitcoin returns by fitting nonlinear econometric models to historical data: Two …

Neural Network for valuing Bitcoin options under jump-diffusion and market sentiment model

E Pindza, JC Mba, S Mwambi, N Umeorah - arXiv preprint arXiv …, 2023 - arxiv.org
Cryptocurrencies and Bitcoin, in particular, are prone to wild swings resulting in frequent
jumps in prices, making them historically popular for traders to speculate. A better …

Understanding latent group structure of cryptocurrencies market: A dynamic network perspective

L Guo, Y Tao, WK Härdle - Available at SSRN 3658206, 2018 - papers.ssrn.com
In this paper, we study the latent group structure in cryptocurrencies market by forming a
dynamic return inferred network with coin attributions. We develop a dynamic covariate …

Beliefs in cryptocurrency: Exploring the relationship between sentiment and Bitcoin

Z Rakovská - European Financial Systems 2018-Proceedings of the …, 2018 - ceeol.com
The rise of the Internet changed the way how financial markets work. Due to user generated
content, quite everybody might contribute to the large set of information and the exchange of …

Bitcoin Sentiment Index and Asset Classes Connectedness: An International Evidence

NA Soomro, NH Ghumro - Available at SSRN 4817777, 2024 - papers.ssrn.com
Investor psychology is one of the determinants of asset pricing, according to behavioral
finance. The tool of diversification is used for increase returns and avoid risk. In this study …

Machine Learning Sentiment Analysis in Detection System for Rupiah Currency Value Using SysML Language

R Aurachman, L Ramadani… - Journal of Physics …, 2021 - iopscience.iop.org
Currency values fluctuate. Some research has tried to find ways to predict the value. One
that can be a sign and a trigger for changes in currency values is the people's sentiment …