Correlation Analysis Between Swiss Mrt and NQEGT

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

Swiss Mrt  vs.  NQEGT

 Performance (%) 

Pair Volatility

Assuming 30 trading days horizon, Swiss Mrt is expected to generate 0.8 times more return on investment than NQEGT. However, Swiss Mrt is 1.25 times less risky than NQEGT. It trades about 0.05 of its potential returns per unit of risk. NQEGT is currently generating about -0.01 per unit of risk. If you would invest  866,038  in Swiss Mrt on November 13, 2018 and sell it today you would earn a total of  19,646  from holding Swiss Mrt or generate 2.27% return on investment over 30 days.

Pair Corralation between Swiss Mrt and NQEGT

Time Period2 Months [change]
StrengthVery Weak
ValuesDaily Returns


Swiss Mrt diversification synergy

Modest diversification

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

Comparative Volatility

 Predicted Return Density 

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See also your portfolio center. Please also try Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.