- Companies in United States
- Peer Analysis
This module allows you to analyze existing cross correlation between DAX and XU100. You can compare the effects of market volatilities on DAX and XU100 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 XU100. See also your portfolio center. Please also check ongoing floating volatility patterns of DAX and XU100.
|Horizon||30 Days Login to change|
Predicted Return Density
DAX vs. XU100
Assuming 30 trading days horizon, DAX is expected to generate 4.67 times less return on investment than XU100. But when comparing it to its historical volatility, DAX is 1.51 times less risky than XU100. It trades about 0.11 of its potential returns per unit of risk. XU100 is currently generating about 0.33 of returns per unit of risk over similar time horizon. If you would invest 9,142,655 in XU100 on January 18, 2019 and sell it today you would earn a total of 1,128,846 from holding XU100 or generate 12.35% return on investment over 30 days.
Pair Corralation between DAX and XU100
|Time Period||2 Months [change]|
Diversification Opportunities for DAX and XU100
Overlapping area represents the amount of risk that can be diversified away by holding DAX and XU100 in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on XU100 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 XU100. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of XU100 has no effect on the direction of DAX i.e. DAX and XU100 go up and down completely randomly.