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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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.


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


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