- Companies in United States
- Peer Analysis
This module allows you to analyze existing cross correlation between DAX and OSE All. You can compare the effects of market volatilities on DAX and OSE All 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 DAX with a short position of OSE All. See also your portfolio center. Please also check ongoing floating volatility patterns of DAX and OSE All.
|Horizon||30 Days Login to change|
Predicted Return Density
DAX vs. OSE All
Assuming 30 trading days horizon, DAX is expected to generate 0.85 times more return on investment than OSE All. However, DAX is 1.18 times less risky than OSE All. It trades about -0.1 of its potential returns per unit of risk. OSE All is currently generating about -0.12 per unit of risk. If you would invest 1,150,827 in DAX on November 14, 2018 and sell it today you would lose (63,460) from holding DAX or give up 5.51% of portfolio value over 30 days.
Pair Corralation between DAX and OSE All
|Time Period||2 Months [change]|
Diversification Opportunities for DAX and OSE All
Very poor diversification
Overlapping area represents the amount of risk that can be diversified away by holding DAX and OSE All in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on OSE All and DAX 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 DAX are associated (or correlated) with OSE All. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of OSE All has no effect on the direction of DAX i.e. DAX and OSE All go up and down completely randomly.