This module allows you to analyze existing cross correlation between OSE All and Swiss Mrt. You can compare the effects of market volatilities on OSE All 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 OSE All with a short position of Swiss Mrt. See also your portfolio center. Please also check ongoing floating volatility patterns of OSE All and Swiss Mrt.
|Horizon||30 Days Login to change|
Predicted Return Density
OSE All vs. Swiss Mrt
Assuming 30 trading days horizon, OSE All is expected to under-perform the Swiss Mrt. In addition to that, OSE All is 1.16 times more volatile than Swiss Mrt. It trades about -0.18 of its total potential returns per unit of risk. Swiss Mrt is currently generating about 0.11 per unit of volatility. If you would invest 957,122 in Swiss Mrt on May 18, 2019 and sell it today you would earn a total of 27,639 from holding Swiss Mrt or generate 2.89% return on investment over 30 days.
Pair Corralation between OSE All and Swiss Mrt
|Time Period||2 Months [change]|
Diversification Opportunities for OSE All and Swiss Mrt
Very good diversification
Overlapping area represents the amount of risk that can be diversified away by holding OSE All and Swiss Mrt in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on Swiss Mrt and OSE All 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 OSE All 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 OSE All i.e. OSE All and Swiss Mrt go up and down completely randomly.
See also your portfolio center. Please also try Fundamentals Matrix module to view fundamentals matrix and analyze how accounts are interrelated and interconnected with each other.