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What have we learnt from 10 years of fintech research? : a scientometric analysis

Liu, Jiajia; Li, Xuerong; Wang, Shouyang - In: Technological forecasting & social change : an … 155 (2020), pp. 1-12

Persistent link: https://www.econbiz.de/10012236545

A bibliometric analysis of 30 years of platform research : developing the research agenda for platforms, the associated technologies and social impacts

Liu, He; Li, Xuerong; Wang, Shouyang - In: Technological forecasting & social change : an … 169 (2021), pp. 1-22

Persistent link: https://www.econbiz.de/10012803430

How cryptocurrency affects economy? : a network analysis using bibliometric methods

Yao, Yue; Li, Xuerong; Zhang, Dingxuan; Wang, Shouyang - In: International review of financial analysis 77 (2021), pp. 1-12

Persistent link: https://www.econbiz.de/10012805817

Exploring evolution trends in cryptocurrency study : from underlying technology to economic applications

Jiang, Shangrong; Li, Xuerong; Wang, Shouyang - In: Finance research letters 38 (2021), pp. 1-9

Persistent link: https://www.econbiz.de/10012490597

The role of news sentiment in oil futures returns and volatility forecasting : data-decomposition based deep learning approach

Li, Yuze; Jiang, Shangrong; Li, Xuerong; Wang, Shouyang - In: Energy economics 95 (2021), pp. 1-11

Persistent link: https://www.econbiz.de/10012816879

Hybrid data decomposition-based deep learning for Bitcoin prediction and algorithm trading

Li, Yuze; Jiang, Shangrong; Li, Xuerong; Wang, Shouyang - In: Financial innovation : FIN 8 (2022), pp. 1-24

In recent years, Bitcoin has received substantial attention as potentially high-earning investment. However, its volatile price movement exhibits great financial risks. Therefore, how to accurately predict and capture changing trends in the Bitcoin market is of substantial importance to...

Persistent link: https://www.econbiz.de/10013170254