Application of Machine Learning in Stock Market Forecasting: A Case Study of Disney Stock
Fuente:
arXiv
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| Auteur principal: | |
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| Format: | Preprint |
| Publié: |
2023
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| _version_ | 1866913202050170880 |
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| author | Huang, Dengxin |
| author_facet | Huang, Dengxin |
| contents | This document presents a stock market analysis conducted on a dataset consisting of 750 instances and 16 attributes donated in 2014-10-23. The analysis includes an exploratory data analysis (EDA) section, feature engineering, data preparation, model selection, and insights from the analysis. The Fama French 3-factor model is also utilized in the analysis. The results of the analysis are presented, with linear regression being the best-performing model. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_10903 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Application of Machine Learning in Stock Market Forecasting: A Case Study of Disney Stock Huang, Dengxin Statistical Finance Machine Learning Applications This document presents a stock market analysis conducted on a dataset consisting of 750 instances and 16 attributes donated in 2014-10-23. The analysis includes an exploratory data analysis (EDA) section, feature engineering, data preparation, model selection, and insights from the analysis. The Fama French 3-factor model is also utilized in the analysis. The results of the analysis are presented, with linear regression being the best-performing model. |
| title | Application of Machine Learning in Stock Market Forecasting: A Case Study of Disney Stock |
| topic | Statistical Finance Machine Learning Applications |
| url | https://arxiv.org/abs/2401.10903 |