Pair Correlation Between DOW and SPTSX Comp

This module allows you to analyze existing cross correlation between DOW and SPTSX Comp. You can compare the effects of market volatilities on DOW and SPTSX Comp and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in DOW with a short position of SPTSX Comp. See also your portfolio center. Please also check ongoing floating volatility patterns of DOW and SPTSX Comp.
 Time Horizon     30 Days    Login   to change
 DOW  vs   SPTSX Comp
 Performance (%) 

Pair Volatility

Given the investment horizon of 30 days, DOW is expected to under-perform the SPTSX Comp. In addition to that, DOW is 2.14 times more volatile than SPTSX Comp. It trades about -0.14 of its total potential returns per unit of risk. SPTSX Comp is currently generating about -0.29 per unit of volatility. If you would invest  1,634,800  in SPTSX Comp on January 22, 2018 and sell it today you would lose (82,399)  from holding SPTSX Comp or give up 5.04% of portfolio value over 30 days.

Correlation Coefficient

Pair Corralation between DOW and SPTSX Comp


Time Period1 Month [change]
StrengthVery Strong
ValuesDaily Returns


Almost no diversification

Overlapping area represents the amount of risk that can be diversified away by holding DOW and SPTSX Comp in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on SPTSX Comp and DOW is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on DOW are associated (or correlated) with SPTSX Comp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPTSX Comp has no effect on the direction of DOW i.e. DOW and SPTSX Comp go up and down completely randomly.

Comparative Volatility

 Predicted Return Density