Correlation Trading Strategies – Opportunities and Limitations

Gunter Meissner

"The best investment one can make is to invest in your own abilities."

– Warren Buffett

In this chapter, we give an overview and analyse the most popular correlation trading strategies in financial practice. Six correlation strategies are discussed: (1) empirical correlation trading; (2) pairs trading; (3) multi-asset options; (4) structured products; (5) correlation swaps; and (6) dispersion trading.


Empirical correlation trading attempts to exploit historically significant correlations within or between financial markets. Numerous financial correlations can be investigated. One area of interest is the autocorrelation between stocks or between indices. Figure 13.1 shows the autocorrelation of the Dow Jones Industrial Index (Dow) from 1920 to 2017.

From Figure 13.1, we observe that autocorrelation since the start of World War Two in 1939 until the mid-1970s was mostly positive. However, since the mid-1970s, autocorrelation has been declining and has mostly been in range with a mean of zero until 2014. We also observe the high negative autocorrelation in bad economic times as in the Great Depression and the Great Recession. Altogether

Sorry, our subscription options are not loading right now

Please try again later. Get in touch with our customer services team if this issue persists.

New to View our subscription options

You need to sign in to use this feature. If you don’t have a account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here