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 …

Accurately predicting the prices of financial time series is essential and challenging for the
financial sector. Owing to recent advancements in deep learning techniques, deep learning …

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 …

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 …

Cryptocurrency price forecasting is attracting considerable interest due to its crucial decision
support role in investment strategies. Large fluctuations in non-stationary cryptocurrency …

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 …

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 …

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 …

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 …

It has been reported that integrating time-series decomposition methods and neural network
models improves financial time-series prediction performance. Despite its practical …