- Companies in United States
- Peer Analysis
This module allows you to analyze existing cross correlation between OSE All and DAX. You can compare the effects of market volatilities on OSE All and DAX 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 DAX. See also your portfolio center. Please also check ongoing floating volatility patterns of OSE All and DAX.
|Horizon||30 Days Login to change|
Predicted Return Density
OSE All vs. DAX
Assuming 30 trading days horizon, OSE All is expected to under-perform the DAX. In addition to that, OSE All is 1.23 times more volatile than DAX. It trades about -0.14 of its total potential returns per unit of risk. DAX is currently generating about -0.15 per unit of volatility. If you would invest 1,177,655 in DAX on November 16, 2018 and sell it today you would lose (91,078) from holding DAX or give up 7.73% of portfolio value over 30 days.
Pair Corralation between OSE All and DAX
|Time Period||2 Months [change]|
Diversification Opportunities for OSE All and DAX
Almost no diversification
Overlapping area represents the amount of risk that can be diversified away by holding OSE All and DAX in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on DAX 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 DAX. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DAX has no effect on the direction of OSE All i.e. OSE All and DAX go up and down completely randomly.