[HTML][HTML] A novel cryptocurrency price prediction model using GRU, LSTM and bi-LSTM machine learning algorithms

MJ Hamayel, AY Owda - Ai, 2021 - mdpi.com
Cryptocurrency is a new sort of asset that has emerged as a result of the advancement of
financial technology and it has created a big opportunity for researches. Cryptocurrency …

[HTML][HTML] Is Bitcoin similar to gold? An integrated overview of empirical findings

NA Kyriazis - Journal of Risk and Financial Management, 2020 - mdpi.com
This paper sets out to explore whether Bitcoin can be considered as a globally accepted
asset that has a resemblance to gold, which is widely considered to be the safest choice. An …

[HTML][HTML] A survey on volatility fluctuations in the decentralized cryptocurrency financial assets

NA Kyriazis - Journal of Risk and Financial Management, 2021 - mdpi.com
This study is an integrated survey of GARCH methodologies applications on 67 empirical
papers that focus on cryptocurrencies. More sophisticated GARCH models are found to …

An application of a TVP-VAR extended joint connected approach to explore connectedness between WTI crude oil, gold, stock and cryptocurrencies during the COVID …

NTH Nham - Technological Forecasting and Social Change, 2022 - Elsevier
We employ a time-varying parameter vector autoregression (TVP-VAR) in combination with
an extended joint connectedness approach to study interlinkages between four markets …

[HTML][HTML] The impact of COVID-19-related media coverage on the return and volatility connectedness of cryptocurrencies and fiat currencies

Z Umar, F Jareño, M de la O González - Technological Forecasting and …, 2021 - Elsevier
This research explores the impact of COVID-19-related media coverage on the dynamic
return and volatility connectedness of the three dominant cryptocurrencies (Bitcoin (BTC) …

Quantile time-frequency connectedness between cryptocurrency volatility and renewable energy volatility during the COVID-19 pandemic and Ukraine-Russia …

TH Le - Renewable Energy, 2023 - Elsevier
Our article employs a quantile vector autoregression (QVAR) to identify the connectedness
of seven variables from April 1, 2019, to June 13, 2022, in order to examine the relationships …

[HTML][HTML] On the stability of stablecoins

K Grobys, J Junttila, JW Kolari, N Sapkota - Journal of Empirical Finance, 2021 - Elsevier
This paper investigates the volatility processes of stablecoins and their potential stochastic
interdependencies with Bitcoin volatility. We employ a novel approach to choose the optimal …

[HTML][HTML] Cryptocurrencies and oil price shocks: A NARDL analysis in the COVID-19 pandemic

F Jareño, MO González, R López, AR Ramos - Resources Policy, 2021 - Elsevier
This study explores potential non-linear and asymmetric interdependencies between oil
price shocks and leading cryptocurrency returns. In addition, this research splits changes in …

Does sentiment impact cryptocurrency?

Anamika, M Chakraborty… - Journal of Behavioral …, 2023 - Taylor & Francis
This study examines the impact of investor sentiment on cryptocurrency returns. We use a
direct survey-based measure that captures the investors' sentiment on Bitcoins. This direct …

Machine learning assessment under the development of green technology innovation: A perspective of energy transition

W Chen, W Zou, K Zhong, A Aliyeva - Renewable Energy, 2023 - Elsevier
This research investigates the influence of green technology innovation on the energy
transition process using machine learning methods and econometric approach. To examine …