Statistical Arbitrage and Robust Tests for Cointegration
42 Pages Posted: 1 Oct 2012
Date Written: September 30, 2012
One application of cointegration tests is screening candidate stocks for the investment strategy known as statistical arbitrage. This paper develops two robust tests for cointegration by using rank-based and least absolute deviation regression to modify the seminal Engle-Granger test. Critical values are generated and power calculated for various error distributions. Finally, the tests are utilized in a simple pairs trading strategy and backtested on daily data from 2001 to 2010. The rank-based cointegration test has superior qualities in that context, suggesting one application of this new statistical test.
Keywords: Statistical arbitrage, pairs trading, cointegration, robust statistics, rank-based statistics, weighted Wilcoxon regression, least absolute deviation
JEL Classification: G19
Suggested Citation: Suggested Citation