- Companies in United States
- Peer Analysis
This module allows you to analyze existing cross correlation between Swiss Mrt and OMXRGI. You can compare the effects of market volatilities on Swiss Mrt and OMXRGI 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 OMXRGI. See also your portfolio center. Please also check ongoing floating volatility patterns of Swiss Mrt and OMXRGI.
|Horizon||30 Days Login to change|
Predicted Return Density
Swiss Mrt vs. OMXRGI
Assuming 30 trading days horizon, Swiss Mrt is expected to under-perform the OMXRGI. But the index apears to be less risky and, when comparing its historical volatility, Swiss Mrt is 1.12 times less risky than OMXRGI. The index trades about -0.01 of its potential returns per unit of risk. The OMXRGI is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 94,750 in OMXRGI on November 15, 2018 and sell it today you would earn a total of 1,603 from holding OMXRGI or generate 1.69% return on investment over 30 days.
Pair Corralation between Swiss Mrt and OMXRGI
|Time Period||2 Months [change]|
Diversification Opportunities for Swiss Mrt and OMXRGI
Very good diversification
Overlapping area represents the amount of risk that can be diversified away by holding Swiss Mrt and OMXRGI in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on OMXRGI 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 OMXRGI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of OMXRGI has no effect on the direction of Swiss Mrt i.e. Swiss Mrt and OMXRGI go up and down completely randomly.