Maximizing positive portfolio diversification

Maguire, Phil, Moser, Philippe, O'Reilly, Kieran, McMenamin, Conor, Maguire, Rebecca and Kelly, Robert (2014) Maximizing positive portfolio diversification. In: Proceedings of the 2014 IEEE Symposium on Computational Intelligence. IEEE, pp. 174-181.

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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
Subjects:	B Philosophy. Psychology. Religion > Psychology > Cognition
Divisions:	School of Business > Staff Research and Publications
Depositing User:	Caoimhe Ní Mhaicín
Date Deposited:	21 May 2014 11:52
Last Modified:	07 Nov 2014 12:33
URI:	https://norma.ncirl.ie/id/eprint/1315

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