Pair Correlation Between FTSE MIB and Swiss Mrt

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

Pair Volatility

Assuming 30 trading days horizon, FTSE MIB is expected to under-perform the Swiss Mrt. In addition to that, FTSE MIB is 1.11 times more volatile than Swiss Mrt. It trades about -0.01 of its total potential returns per unit of risk. Swiss Mrt is currently generating about 0.06 per unit of volatility. If you would invest  924,849  in Swiss Mrt on October 23, 2017 and sell it today you would earn a total of  7,604  from holding Swiss Mrt or generate 0.82% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between FTSE MIB and Swiss Mrt


Time Period1 Month [change]
StrengthVery Weak
ValuesDaily Returns


Weak diversification

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

Comparative Volatility

 Predicted Return Density