Machine learning portfolio optimization: hierarchical risk parity and modern portfolio theory

Bechis, Luca (A.A. 2019/2020) Machine learning portfolio optimization: hierarchical risk parity and modern portfolio theory. Tesi di Laurea in Risk management, Luiss Guido Carli, relatore Francesco Cerri, pp. 157. [Master's Degree Thesis]

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Abstract/Index

The development of modern portfolio theory. The hierarchical risk parity portfolio optimization. Empirical hierarchical risk parity portfolio analysis.

References

Bibliografia e sitografia: pp. 149-156.

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: Risk management
Thesis Supervisor: Cerri, Francesco
Thesis Co-Supervisor: Vulpiani, Marco
Academic Year: 2019/2020
Session: Summer
Deposited by: Alessandro Perfetti
Date Deposited: 18 Jan 2021 08:29
Last Modified: 18 Jan 2021 08:29
URI: https://tesi.luiss.it/id/eprint/28022

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