Correlation Analysis Between DAX and Seoul Comp

This module allows you to analyze existing cross correlation between DAX and Seoul Comp. You can compare the effects of market volatilities on DAX and Seoul Comp 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 Seoul Comp. See also your portfolio center. Please also check ongoing floating volatility patterns of DAX and Seoul Comp.
Horizon     30 Days    Login   to change
Symbolsvs

DAX  vs.  Seoul Comp

 Performance (%) 
      Timeline 

Pair Volatility

Assuming 30 trading days horizon, DAX is expected to under-perform the Seoul Comp. In addition to that, DAX is 1.06 times more volatile than Seoul Comp. It trades about -0.09 of its total potential returns per unit of risk. Seoul Comp is currently generating about -0.07 per unit of volatility. If you would invest  214,512  in Seoul Comp on November 12, 2018 and sell it today you would lose (6,255)  from holding Seoul Comp or give up 2.92% of portfolio value over 30 days.

Pair Corralation between DAX and Seoul Comp

0.44
Time Period2 Months [change]
DirectionPositive 
StrengthWeak
Accuracy81.4%
ValuesDaily Returns

Diversification

DAX diversification synergy

Very weak diversification

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

 Predicted Return Density 
      Returns 

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