Financial machine learning
Ciccarelli, Stefano (A.A. 2019/2020) Financial machine learning. Tesi di Laurea in Machine learning and applied statistics, Luiss Guido Carli, relatore Luigi Laura, pp. 106. [Master's Degree Thesis]
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Abstract/Index
Financial singularity strategy. History. Why hedging against the singularity risk. Machine learning. Why. The big data. The computational power. The algorithms. How. Semi-supervised learning and reinforcement learning. Data-driven finance. Financial automation with Python. Storing and simulating financial big data with NumPy and Pandas. Financial machine learning: a practical approach. Deep neural networks for stock selection in portfolio optimization.
References
Bibliografia: pp. 97-98.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree program in Corporate Finance, English language (LM-77) |
| Chair: | Machine learning and applied statistics |
| Thesis Supervisor: | Laura, Luigi |
| Thesis Co-Supervisor: | Italiano, Giuseppe Francesco |
| Academic Year: | 2019/2020 |
| Session: | Autumn |
| Additional Information: | Tesi discussa all'estero. |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 26 Apr 2021 12:48 |
| Last Modified: | 26 Apr 2021 12:48 |
| URI: | https://tesi.luiss.it/id/eprint/29203 |
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