Maguire, Phil, Moser, Philippe, O'Reilly, Kieran, McMenamin, Conor, Kelly, Robert and Maguire, Rebecca (2014) Maximizing Positive Porfolio Diversification. In: 2014 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr). IEEE, pp. 174-181. ISBN 9781479923809
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Official URL: http://dx.doi.org/10.1109/CIFEr.2014.6924070
Abstract
In this article we introduce a new strategy for
optimal diversification which combines elements of Diversified
Risk Parity [1], [2] and Diversification Ratio [3], with emphasis on
positive risk premiums. The Uncorrelated Positive Bets strategy
involves the identification of reliable, independent sources of randomness
and the quantification of their positive risk premium.We
use principal component analysis to identify the most significant
sources of randomness contributing to the market and then apply
the Randomness Deficiency Coefficient metric [4] and principal
portfolio positivity to identify a set of reliable uncorrelated
positive bets. Portfolios are then optimized by maximizing their
diversified positive risk premium. We contrast the performance
of a range of diversification strategies for a portfolio held for
a two-year out-of-sample period with a 30 stock constraint. In
particular, we introduce the notion of diversification inefficiency
to explain why diversification strategies might outperform the
market.
Item Type: | Book Section |
---|---|
Keywords: | investment; principal component analysis; risk management; |
Academic Unit: | Faculty of Science and Engineering > Computer Science |
Item ID: | 6526 |
Identification Number: | 10.1109/CIFEr.2014.6924070 |
Depositing User: | Philippe Moser |
Date Deposited: | 04 Nov 2015 14:44 |
Publisher: | IEEE |
Refereed: | Yes |
URI: | https://mural.maynoothuniversity.ie/id/eprint/6526 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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