Survey of Cryptocurrency Volatility Prediction Literature Using Artificial Neural Networks

Sina E. Charandabi, Kamyar Kamyar


We start by presenting a short description of the concept of cryptocurrency and the history behind it. Recently-developed literature that attempt to predict volatilities of cryptocurrency valuations through creation of hybrid artificial neural network models are then discussed. For the major part of the paper, we delve into details of multiple hybrid artificial neural networks that were thoroughly implemented to predict cryptocurrency volatilities. Results are reported within the form of a survey. Finally, we compare different methods and discuss their results follow at the end.

Full Text:




  • There are currently no refbacks.

Copyright (c) 2022 Kamyar Kamyar, Sina E. Charandabi

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Business and Economic Research  ISSN 2162-4860

Copyright © Macrothink Institute

To make sure that you can receive messages from us, please add the '' domain to your e-mail 'safe list'. If you do not receive e-mail in your 'inbox', check your 'bulk mail' or 'junk mail' folders.