Correlation Analysis Between SPTSX Comp and Stockholm

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

SPTSX Comp  vs.  Stockholm

 Performance (%) 

Pair Volatility

Assuming 30 trading days horizon, SPTSX Comp is expected to generate 1.26 times more return on investment than Stockholm. However, SPTSX Comp is 1.26 times more volatile than Stockholm. It trades about 0.07 of its potential returns per unit of risk. Stockholm is currently generating about -0.02 per unit of risk. If you would invest  1,631,440  in SPTSX Comp on June 15, 2018 and sell it today you would earn a total of  24,670  from holding SPTSX Comp or generate 1.51% return on investment over 30 days.

Pair Corralation between SPTSX Comp and Stockholm

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 SPTSX Comp and Stockholm in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on Stockholm 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 Stockholm. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stockholm has no effect on the direction of SPTSX Comp i.e. SPTSX Comp and Stockholm go up and down completely randomly.

Comparative Volatility

 Predicted Return Density 

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See also your portfolio center. Please also try Piotroski F Score module to get piotroski f score based on binary analysis strategy of nine different fundamentals.