Abstract
AbstractBitcoin is currently the leading global provider of cryptocurrency. Cryptocurrency allows users to safely and anonymously use the Internet to perform digital currency transfers and storage. In recent years, the Bitcoin network has attracted investors, businesses, and corporations while facilitating services and product deals. Moreover, Bitcoin has made itself the dominant source of decentralized cryptocurrency. While considerable research has been done concerning Bitcoin network analysis, limited research has been conducted on predicting the Bitcoin price. The purpose of this study is to predict the price of Bitcoin and changes therein using the grey system theory. The first order grey model (GM (1,1)) is used for this purpose. It uses a first-order differential equation to model the trend of time series. The results show that the GM (1,1) model predicts Bitcoin’s price accurately and that one can earn a maximum profit confidence level of approximately 98% by choosing the appropriate time frame and by managing investment assets.
Publisher
Springer Science and Business Media LLC
Subject
Management of Technology and Innovation,Finance
Reference53 articles.
1. Abdi H, Molin P (2007) Lilliefors/Van Soest’s test of normality. In: Salkind N (ed) (ed)Encyclopedia of measurement and statistics, vol 1. Sage, London, pp 540–544
2. Adebiyi AA, Ayo CK, Adebiyi MO, Otokiti SO (2012) Stock price prediction using neural network with hybridized market indicators. J Emerging Trends Comput Inform Sci 3(1):1–9
3. Almeida J, Tata S, Moser A, Smit V (2015) Bitcoin prediciton using ANN. Neural Networks 7:1-12
4. Alrasheedi M, Alghamdi A (2012) Predicting up/down direction using linear discriminant analysis and logit model: the case of sabic price index. Res J Bus Manag 6(4):121–133
5. Bahrammirzaee A (2010) A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems. Neural Comput Applic 19(8):1165–1195
Cited by
41 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献