This module allows you to analyze existing cross correlation between OMX COPENHAGEN and Hang Seng. You can compare the effects of market volatilities on OMX COPENHAGEN and Hang Seng 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 OMX COPENHAGEN with a short position of Hang Seng. See also your portfolio center. Please also check ongoing floating volatility patterns of OMX COPENHAGEN and Hang Seng.
|Horizon||30 Days Login to change|
Predicted Return Density
OMX COPENHAGEN vs. Hang Seng
Assuming 30 trading days horizon, OMX COPENHAGEN is expected to generate 0.82 times more return on investment than Hang Seng. However, OMX COPENHAGEN is 1.21 times less risky than Hang Seng. It trades about 0.02 of its potential returns per unit of risk. Hang Seng is currently generating about -0.27 per unit of risk. If you would invest 142,834 in OMX COPENHAGEN on May 17, 2019 and sell it today you would earn a total of 656.00 from holding OMX COPENHAGEN or generate 0.46% return on investment over 30 days.
Pair Corralation between OMX COPENHAGEN and Hang Seng
|Time Period||2 Months [change]|
Diversification Opportunities for OMX COPENHAGEN and Hang Seng
Very weak diversification
Overlapping area represents the amount of risk that can be diversified away by holding OMX COPENHAGEN and Hang Seng in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on Hang Seng and OMX COPENHAGEN 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 OMX COPENHAGEN are associated (or correlated) with Hang Seng. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hang Seng has no effect on the direction of OMX COPENHAGEN i.e. OMX COPENHAGEN and Hang Seng go up and down completely randomly.
See also your portfolio center. Please also try Analyst Recommendations module to analyst recommendations and target price estimates broken down by several categories.