Correlation Analysis Between Swiss Mrt and Stockholm

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

Swiss Mrt  vs.  Stockholm

 Performance (%) 

Pair Volatility

Assuming 30 trading days horizon, Swiss Mrt is expected to generate 1.07 times more return on investment than Stockholm. However, Swiss Mrt is 1.07 times more volatile than Stockholm. It trades about 0.05 of its potential returns per unit of risk. Stockholm is currently generating about -0.03 per unit of risk. If you would invest  866,038  in Swiss Mrt on November 12, 2018 and sell it today you would earn a total of  20,076  from holding Swiss Mrt or generate 2.32% return on investment over 30 days.

Pair Corralation between Swiss Mrt and Stockholm

Time Period2 Months [change]
StrengthVery Weak
ValuesDaily Returns


Swiss Mrt diversification synergy

Weak diversification

Overlapping area represents the amount of risk that can be diversified away by holding Swiss Mrt and Stockholm in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on Stockholm and Swiss Mrt 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 Swiss Mrt 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 Swiss Mrt i.e. Swiss Mrt and Stockholm go up and down completely randomly.

Comparative Volatility

 Predicted Return Density 

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