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A data-driven deep learning approach incorporating investor sentiment and government interventions to predict post-crash stock return in China's A-share market

Crossref DOI link: https://doi.org/10.1016/j.jik.2025.100704

Published Print: 2025-05

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Lin, Weiran

Yu, Haijing https://orcid.org/0000-0002-6920-4517
Wang, Liugen
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Text and Data Mining valid from 2025-05-01

Text and Data Mining valid from 2025-05-01

Version of Record valid from 2025-04-09
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This article is maintained by: Elsevier

Article Title: A data-driven deep learning approach incorporating investor sentiment and government interventions to predict post-crash stock return in China's A-share market

Journal Title: Journal of Innovation & Knowledge

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.jik.2025.100704

Content Type: article

Copyright: © 2025 The Authors. Published by Elsevier España, S.L.U. on behalf of Journal of Innovation & Knowledge.

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