Machine learning model for Bitcoin exchange rate prediction using economic and technology determinants-Reference-Cited by-同舟云学术

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Machine learning model for Bitcoin exchange rate prediction using economic and technology determinants

Published:2021-01 Issue:1 Volume:37 Page:28-43
ISSN:0169-2070
Container-title:International Journal of Forecasting
language:en
Short-container-title:International Journal of Forecasting

Author:

Chen Wei,Xu Huilin,Jia Lifen,Gao Ying

Funder

National Natural Science Foundation of China

Great Wall Scholar Training Program of Beijing Municipality

Humanity and Social Science Foundation of Ministry of Education of China

Beijing Social Science Fund

Publisher

Elsevier BV

Subject

Business and International Management

Reference57 articles.

1. Genetic algorithms and darwinian approaches in financial applications: A survey;Aguilar-Rivera;Expert Systems with Applications,2015

2. Can volume predict Bitcoin returns and volatility? A quantiles-based approach;Balcilar;Economic Modelling,2017

3. Bitcoin, gold and the dollar-a replication and extension;Baur;Finance Research Letters,2018

4. Model selection and Akaike’s information criterion (AIC): The general theory and its analytical extensions;Bozdogan;Psychometrika,1987

5. Price discovery on Bitcoin exchanges;Brandvold;Journal of International Financial Markets Institutions & Money,2015

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