Arbeitspapier

Pairs trading with partial cointegration

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.

Language
Englisch

Bibliographic citation
Series: FAU Discussion Papers in Economics ; No. 05/2016

Classification
Wirtschaft
Subject
statistical arbitrage
pairs trading
quantitative strategies
cointegration
partial cointegration

Event
Geistige Schöpfung
(who)
Clegg, Matthew
Krauss, Christopher
Event
Veröffentlichung
(who)
Friedrich-Alexander-Universität Erlangen-Nürnberg, Institute for Economics
(where)
Nürnberg
(when)
2016

Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Arbeitspapier

Associated

  • Clegg, Matthew
  • Krauss, Christopher
  • Friedrich-Alexander-Universität Erlangen-Nürnberg, Institute for Economics

Time of origin

  • 2016

Other Objects (12)