Pair Correlation Between All Ords and DAX

This module allows you to analyze existing cross correlation between All Ords and DAX. You can compare the effects of market volatilities on All Ords 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 All Ords with a short position of DAX. See also your portfolio center. Please also check ongoing floating volatility patterns of All Ords and DAX.
Investment Horizon     30 Days    Login   to change
Symbolsvs
 All Ords  vs   DAX
 Performance (%) 
      Timeline 

Pair Volatility

Assuming 30 trading days horizon, All Ords is expected to generate 0.53 times more return on investment than DAX. However, All Ords is 1.89 times less risky than DAX. It trades about 0.15 of its potential returns per unit of risk. DAX is currently generating about 0.03 per unit of risk. If you would invest  595,670  in All Ords on October 23, 2017 and sell it today you would earn a total of  7,210  from holding All Ords or generate 1.21% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between All Ords and DAX
0.21

Parameters

Time Period1 Month [change]
DirectionPositive 
StrengthVery Weak
Accuracy95.45%
ValuesDaily Returns

Diversification

Modest diversification

Overlapping area represents the amount of risk that can be diversified away by holding All Ords and DAX in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on DAX and All Ords 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 All Ords 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 All Ords i.e. All Ords and DAX go up and down completely randomly.
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Comparative Volatility

 Predicted Return Density 
      Returns