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Can investors’ informed trading predict cryptocurrency returns? Evidence from machine learning

  • Published:2022-12 Issue: Volume:62 Page:101683
  • ISSN:0275-5319
  • Container-title:Research in International Business and Finance
  • language:en
  • Short-container-title:Research in International Business and Finance

Author:

Wang Yaqi,Wang Chunfeng,Sensoy Ahmet,Yao Shouyu,Cheng Feiyang

Funder

National Natural Science Foundation of China National Outstanding Youth Science Fund Project

Publisher

Elsevier BV

Subject

Finance,Business, Management and Accounting (miscellaneous)

Cited by 14 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

1. Cryptocurrency trading: A systematic mapping study;International Journal of Information Management Data Insights;2024-11

2. Machine learning and the cross-section of cryptocurrency returns;International Review of Financial Analysis;2024-07

3. Time varying risk aversion and its connectedness: evidence from cryptocurrencies;Annals of Operations Research;2024-04-30

4. Forecasting of cryptocurrencies: Mapping trends, influential sources, and research themes;Journal of Forecasting;2024-03-05

5. Harnessing Machine Learning for Predicting Cryptocurrency Returns;Global Business Review;2024-03-03
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