[HTML][HTML] A systematic literature review of investor behavior in the cryptocurrency markets
This review aims to analyze and synthesize the literature produced so far on investor
behavior in the cryptocurrency market. We use VOSviewer 1.6. 17 software to perform a …
behavior in the cryptocurrency market. We use VOSviewer 1.6. 17 software to perform a …
[HTML][HTML] Models used to characterise blockchain features. A systematic literature review and bibliometric analysis
Blockchain has emerged as an innovative technology with potential to transform business
management, through operational efficiency improvements. Nevertheless, several …
management, through operational efficiency improvements. Nevertheless, several …
Past, present, and future of the application of machine learning in cryptocurrency research
YS Ren, CQ Ma, XL Kong, K Baltas… - Research in International …, 2022 - Elsevier
Cryptocurrency has captured the interest of financial scholars and become a major research
topic in blockchain. In cryptocurrency research, the use of machine learning algorithms is …
topic in blockchain. In cryptocurrency research, the use of machine learning algorithms is …
Forecasting cryptocurrency prices using LSTM, GRU, and bi-directional LSTM: a deep learning approach
Highly accurate cryptocurrency price predictions are of paramount interest to investors and
researchers. However, owing to the nonlinearity of the cryptocurrency market, it is difficult to …
researchers. However, owing to the nonlinearity of the cryptocurrency market, it is difficult to …
MLP-based Learnable Window Size for Bitcoin price prediction
Over the past few years, Bitcoin price prediction has been changed to a big challenge for
investors on cryptocurrencies. In this regard, Neural Networks as a strong structure for …
investors on cryptocurrencies. In this regard, Neural Networks as a strong structure for …
Which factors drive Bitcoin volatility: Macroeconomic, technical, or both?
Academic research relies heavily on exogenous drivers to improve the forecasting accuracy
of Bitcoin volatility. The present study provides additional insight into the role of both …
of Bitcoin volatility. The present study provides additional insight into the role of both …
Forecasting cryptocurrency returns with machine learning
This article employs machine learning models to predict returns for 3703 cryptocurrencies
for the 2013–2021 period. Based on daily data, we build an equal (capital)-weighted …
for the 2013–2021 period. Based on daily data, we build an equal (capital)-weighted …
Digital financial asset price fluctuation forecasting in digital economy era using blockchain information: A reconstructed dynamic-bound Levenberg–Marquardt neural …
D Shang, Z Yan, L Zhang, Z Cui - Expert Systems with Applications, 2023 - Elsevier
Digital financial assets such as cryptocurrency are playing an increasingly crucial role in the
digital economy era. Cryptocurrency is characterized by significant volatility and asset price …
digital economy era. Cryptocurrency is characterized by significant volatility and asset price …
Novel insights into the modeling financial time-series through machine learning methods: Evidence from the cryptocurrency market
This study proposes a novel approach for modeling financial time series, concentrating on
data pre-processing and selecting effective features in conventional and proposed modeling …
data pre-processing and selecting effective features in conventional and proposed modeling …
Forecasting cryptocurrency prices using recurrent neural network and long short-term memory
I Nasirtafreshi - Data & Knowledge Engineering, 2022 - Elsevier
The rapid development of cryptocurrencies over the past decade is one of the most
controversial and ambiguous innovations in the modern global economy. Numerous and …
controversial and ambiguous innovations in the modern global economy. Numerous and …