Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/140632
Authors: 
Clegg, Matthew
Krauss, Christopher
Year of Publication: 
2016
Series/Report no.: 
FAU Discussion Papers in Economics 05/2016
Abstract: 
Partial cointegration is a weakening of cointegration that allows for the "cointegrating" process to contain a random walk and a mean-reverting component. We derive its representation in state space, provide a maximum likelihood based estimation routine, and a suitable likelihood ratio test. Then, we explore the use of partial cointegration as a means for identifying promising pairs and for generating buy and sell signals. Specifically, we benchmark partial cointegration against several classical pairs trading variants from 1990 until 2015, on a survivor bias free data set of the S&P 500 constituents. We find annualized returns of more than 12 percent after transaction costs. These results can only partially be explained by common sources of systematic risk and are well superior to classical distance-based or cointegration-based pairs trading variants on our data set.
Subjects: 
statistical arbitrage
pairs trading
quantitative strategies
cointegration
partial cointegration
Document Type: 
Working Paper

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