Pair Correlation Between DAX and SP 500

This module allows you to analyze existing cross correlation between DAX and S&P 500. You can compare the effects of market volatilities on DAX and SP 500 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 SP 500. See also your portfolio center. Please also check ongoing floating volatility patterns of DAX and SP 500.
Investment Horizon     30 Days    Login   to change
Symbolsvs
 DAX  vs   S&P 500
 Performance (%) 
      Timeline 

Pair Volatility

Assuming 30 trading days horizon, DAX is expected to generate 8.42 times less return on investment than SP 500. In addition to that, DAX is 1.89 times more volatile than S&P 500. It trades about 0.01 of its total potential returns per unit of risk. S&P 500 is currently generating about 0.08 per unit of volatility. If you would invest  256,210  in S&P 500 on October 19, 2017 and sell it today you would earn a total of  1,675  from holding S&P 500 or generate 0.65% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between DAX and SP 500
0.66

Parameters

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

Diversification

Poor diversification

Overlapping area represents the amount of risk that can be diversified away by holding DAX and S&P 500 in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on SP 500 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 SP 500. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SP 500 has no effect on the direction of DAX i.e. DAX and SP 500 go up and down completely randomly.
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Comparative Volatility

 Predicted Return Density 
      Returns