Pair Correlation Between SPTSX Comp and DOW

This module allows you to analyze existing cross correlation between SPTSX Comp and DOW. You can compare the effects of market volatilities on SPTSX Comp and DOW 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 SPTSX Comp with a short position of DOW. See also your portfolio center. Please also check ongoing floating volatility patterns of SPTSX Comp and DOW.
 Time Horizon     30 Days    Login   to change
 SPTSX Comp  vs   DOW
 Performance (%) 

Pair Volatility

Assuming 30 trading days horizon, SPTSX Comp is expected to generate 6.16 times less return on investment than DOW. But when comparing it to its historical volatility, SPTSX Comp is 1.53 times less risky than DOW. It trades about 0.16 of its potential returns per unit of risk. DOW is currently generating about 0.63 of returns per unit of risk over similar time horizon. If you would invest  2,474,621  in DOW on December 24, 2017 and sell it today you would earn a total of  132,551  from holding DOW or generate 5.36% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between SPTSX Comp and DOW


Time Period1 Month [change]
ValuesDaily Returns


Very weak diversification

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

Comparative Volatility

 Predicted Return Density