Machine learning in finance: developing a Pairs trading investment strategy with Python

Meloncelli, Lorenzo (A.A. 2022/2023) Machine learning in finance: developing a Pairs trading investment strategy with Python. Tesi di Laurea in Machine learning, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 60. [Master's Degree Thesis]

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Abstract/Index

Overview. Research question. Data preparation. Data collection. Data cleaning. Research stage 1: pair selection and clustering. Pair space definition: clustering using unsupervised learning. Pairs selection. Performance evaluation. Research stage 2: forecasting-based trading. Forecasting-based trading model. Time series forecasting. Performance evaluation.

References

Bibliografia: pp. 57-60.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91)
Chair: Machine learning
Thesis Supervisor: Italiano, Giuseppe Francesco
Thesis Co-Supervisor: Simeone, Antonio
Academic Year: 2022/2023
Session: Autumn
Deposited by: Alessandro Perfetti
Date Deposited: 22 May 2024 13:06
Last Modified: 22 May 2024 13:06
URI: https://tesi.luiss.it/id/eprint/38606

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