Forecasting methods in finance: a comparative study in predicting bitcoin and stock market fluctuations
This study evaluates advanced models such as SARIMA, Holt-Winters, Prophet, LSTM, and SARIMAX for time series analysis and forecasting, focusing on the price trends of Amazon stocks and Bitcoin. This research aims not only to predict the trajectories of these financial assets but also to assess thei...
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| 第一著者: | |
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| フォーマット: | bachelorThesis |
| 言語: | eng |
| 出版事項: |
2024
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| 主題: | |
| オンライン･アクセス: | http://repositorio.yachaytech.edu.ec/handle/123456789/790 |
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