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 generate 1.87 times less return on investment than OMXRGI. In addition to that, Swiss Mrt is 1.21 times more volatile than OMXRGI. It trades about 0.1 of its total potential returns per unit of risk. OMXRGI is currently generating about 0.23 per unit of volatility. If you would invest 101,633 in OMXRGI on May 17, 2019 and sell it today you would earn a total of 5,137 from holding OMXRGI or generate 5.05% 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 weak 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.
See also your portfolio center. Please also try Coins and Tokens Correlation module to utilize digital token correlation table to build portfolio of cryptocurrencies across multiple exchanges.