Correlation Analysis Between DAX and NQPH

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

DAX  vs.  NQPH

 Performance (%) 
      Timeline 

Pair Volatility

Assuming 30 trading days horizon, DAX is expected to generate 0.87 times more return on investment than NQPH. However, DAX is 1.15 times less risky than NQPH. It trades about 0.02 of its potential returns per unit of risk. NQPH is currently generating about -0.24 per unit of risk. If you would invest  1,238,570  in DAX on August 24, 2018 and sell it today you would earn a total of  4,518  from holding DAX or generate 0.36% return on investment over 30 days.

Pair Corralation between DAX and NQPH

0.5
Time Period1 Month [change]
DirectionPositive 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Diversification

Very weak diversification

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

 Predicted Return Density 
      Returns 

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Alphabet
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ExchangeNASDAQ
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