Pair Correlation Between SPTSX Comp and NYSE

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

Pair Volatility

Assuming 30 trading days horizon, SPTSX Comp is expected to generate 1.0 times more return on investment than NYSE. However, SPTSX Comp is as risky as NYSE. It trades about 0.22 of its potential returns per unit of risk. NYSE is currently generating about 0.05 per unit of risk. If you would invest  1,589,163  in SPTSX Comp on October 26, 2017 and sell it today you would earn a total of  21,646  from holding SPTSX Comp or generate 1.36% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between SPTSX Comp and NYSE


Time Period1 Month [change]
StrengthVery Weak
ValuesDaily Returns


Weak diversification

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

Comparative Volatility

 Predicted Return Density