A sparse learning approach to relative-volatility-managed portfolio selection

This paper proposes a self-calibrated sparse learning approach for estimating a sparse target vector, which is a product of a precision matrix and a vector, and investigates its application to finance to provide an innovative construction of a relative-volatility-managed portfolio. The proposed iter...

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Bibliographic Details
Main Author: Pun, Chi Seng
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/10356/155740
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Institution: Nanyang Technological University
Language: English
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