Forecasting stock prices of fintech companies of India using random forest with high-frequency data
| dc.contributor.author | Singh, Manohar | |
| dc.contributor.author | Meher, Bharat Kumar | |
| dc.contributor.author | Birau, Ramona | |
| dc.contributor.author | Anand, Abhishek | |
| dc.date.accessioned | 2024-08-12T09:05:29Z | |
| dc.date.available | 2024-08-12T09:05:29Z | |
| dc.date.issued | 2024 | |
| dc.description.tableofcontents | Journal of Open Innovation: Technology, Market, and Complexity, Vol.10, 2024; P. 1-10 https://doi.org/10.1016/j.joitmc.2023.100180 | vi |
| dc.identifier.issn | 2199-8531 | |
| dc.identifier.uri | https://thuvienso.hoasen.edu.vn/handle/123456789/15581 | |
| dc.language.iso | en | vi |
| dc.publisher | Elsevier | vi |
| dc.subject | Forecasting | vi |
| dc.subject | Random Forest | vi |
| dc.subject | High-frequency data | vi |
| dc.subject | Python | vi |
| dc.title | Forecasting stock prices of fintech companies of India using random forest with high-frequency data | vi |
| dc.type | Article | vi |
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