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Pairs trading : strategy refinements

Authors: Ribeiro, Ricardo Jorge Madureira;

Pairs trading : strategy refinements

Abstract

In this paper, we apply the pairs trading strategy, original presented by Nunzio Tartaglia in mid-80´s, for the period between 2004 and 2014, to stocks listed in the London Stock Exchange. Our trading strategy seems to be highly profitable, with an average 6-month excess return of 15.39%. The strategy also proved to have better results when faced trouble economic environments like the subprime crisis. We have implemented several add-ons to the strategy, aiming to reduce its risk. A new liquidity restriction was implemented in selecting pairs so that the strategy is not constrained by any concerns about liquidity problems. Another implementation was the creation of stop loss strategies based on number of days with losses and by loss percentage, which, however, proved to be unrewarding on the attempt to maximize the returns. On the other hand, by proving the unfeasibility of the stop loss strategies, we also proved the robustness of our strategy because we perceive that even if the return of the pair is going down for consecutive days or for a certain percentage, it ends up converging.

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Portugal
Related Organizations
Keywords

Stop loss strategy, Relative-value strategy, Domínio/Área Científica::Ciências Sociais::Economia e Gestão, Pairs trading, Refinements

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selected citations
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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).
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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.
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