[HTML][HTML] Performance evaluation of deep learning and boosted trees for cryptocurrency closing price prediction
The emergence of cryptocurrencies has drawn significant investment capital in recent years
with an exponential increase in market capitalization and trade volume. However, the …
with an exponential increase in market capitalization and trade volume. However, the …
Forecasting cryptocurrency price using convolutional neural networks with weighted and attentive memory channels
After the invention of Bitcoin as well as other blockchain-based peer-to-peer payment
systems, the cryptocurrency market has rapidly gained popularity. Consequently, the …
systems, the cryptocurrency market has rapidly gained popularity. Consequently, the …
Exogenous drivers of Bitcoin and Cryptocurrency volatility–A mixed data sampling approach to forecasting
We apply the GARCH-MIDAS framework to forecast the daily, weekly, and monthly volatility
of five highly capitalized Cryptocurrencies (Bitcoin, Etherium, Litecoin, Ripple, and Stellar) …
of five highly capitalized Cryptocurrencies (Bitcoin, Etherium, Litecoin, Ripple, and Stellar) …
Complexity analysis and forecasting of variations in cryptocurrency trading volume with support vector regression tuned by Bayesian optimization under different …
When cryptocurrency markets generate billions of dollars, it becomes interesting to forecast
variation in volume of transactions for better trading and for better management of …
variation in volume of transactions for better trading and for better management of …
[PDF][PDF] Emergence of Bitcoin as an Investment Alternative: A Systematic Review and Research Agenda.
GD Sharma, M Jain, M Mahendru… - … Journal of Business …, 2019 - researchgate.net
Although Bitcoin has experienced immense popularity and growth since its inception, it has
been essentially ignored by researchers because of its volatile and highly speculative …
been essentially ignored by researchers because of its volatile and highly speculative …
Objective and subjective risks of investing into cryptocurrencies
New empirical evidence on cryptocurrencies emerges rapidly, and it is thus necessary to
consolidate the knowledge gained and identify the gaps therein. We provide a focused …
consolidate the knowledge gained and identify the gaps therein. We provide a focused …
Multi-transformer: A new neural network-based architecture for forecasting S&P volatility
E Ramos-Pérez, PJ Alonso-González… - Mathematics, 2021 - mdpi.com
Events such as the Financial Crisis of 2007–2008 or the COVID-19 pandemic caused
significant losses to banks and insurance entities. They also demonstrated the importance of …
significant losses to banks and insurance entities. They also demonstrated the importance of …
On improving GARCH volatility forecasts for Bitcoin via a meta-learning approach
S Aras - Knowledge-Based Systems, 2021 - Elsevier
Modelling the volatility of Bitcoin, the cryptocurrency with the largest market share, has
recently attracted considerable attention from researchers, practitioners and investors in …
recently attracted considerable attention from researchers, practitioners and investors in …
Long memory in the volatility of selected cryptocurrencies: Bitcoin, Ethereum and Ripple
This paper examines the volatility of cryptocurrencies, with particular attention to their
potential long memory properties. Using daily data for the three major cryptocurrencies …
potential long memory properties. Using daily data for the three major cryptocurrencies …
Cellular traffic prediction based on an intelligent model
FW Alsaade… - Mobile information …, 2021 - Wiley Online Library
The evolution of cellular technology development has led to explosive growth in cellular
network traffic. Accurate time‐series models to predict cellular mobile traffic have become …
network traffic. Accurate time‐series models to predict cellular mobile traffic have become …