Robust portfolio optimization with covariates

In this project, we propose ARIMA regression as a methodology for the inclusion of covariate information into a robust CVaR minimization portfolio as a method to improve the performance of the portfolio optimization model. This methodology is compared with a robust CVaR minimization portfolio and an...

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Bibliographic Details
Main Author: Heng, Darren Kai Hong
Other Authors: Yan Zhenzhen
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/156906
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Institution: Nanyang Technological University
Language: English
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