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On Portfolio Optimisation Techniques

Authors: Ari Andricopoulos;

On Portfolio Optimisation Techniques

Abstract

Executive Summary Here we look at alternative equity index weightings to ‘Market Capitalisation Weighting’ to see whether the expected theoretical improvement given by Portfolio Optimisation Techniques are realised in practice. We introduce a new portfolio weighting measure, called ‘Constrained Inverse Beta’, which is simple to implement and effectively a conservative combination of ‘1/N’ , ‘Minimised Variance’, and the less widely used ‘Minimised Correlation’. Choosing any of the four different weightings is a considerable improvement on market capitalisation, and this holds over all sets and subsets of data in our experimentation universe. Also, we find that the weights of the portfolio are at least as important as any single stock selection factor taken in isolation. We quantify the improvements below.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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