Pair Correlation Between Swiss Mrt and NQFI

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

Pair Volatility

Assuming 30 trading days horizon, Swiss Mrt is expected to under-perform the NQFI. But the index apears to be less risky and, when comparing its historical volatility, Swiss Mrt is 1.56 times less risky than NQFI. The index trades about -0.27 of its potential returns per unit of risk. The NQFI is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest  163,092  in NQFI on January 26, 2018 and sell it today you would earn a total of  3,006  from holding NQFI or generate 1.84% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between Swiss Mrt and NQFI


Time Period1 Month [change]
ValuesDaily Returns


Average diversification

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

Comparative Volatility

 Predicted Return Density