Pair Correlation Between DAX and OSE All

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.
Investment Horizon     30 Days    Login   to change
Symbolsvs
 DAX  vs   OSE All
 Performance (%) 
      Timeline 

Pair Volatility

Assuming 30 trading days horizon, DAX is expected to generate 3.47 times less return on investment than OSE All. In addition to that, DAX is 1.01 times more volatile than OSE All. It trades about 0.03 of its total potential returns per unit of risk. OSE All is currently generating about 0.12 per unit of volatility. If you would invest  87,143  in OSE All on October 22, 2017 and sell it today you would earn a total of  1,481  from holding OSE All or generate 1.7% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between DAX and OSE All
0.81

Parameters

Time Period1 Month [change]
DirectionPositive 
StrengthStrong
Accuracy95.24%
ValuesDaily Returns

Diversification

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.
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Comparative Volatility

 Predicted Return Density 
      Returns