Correlation Analysis Between Seoul Comp and NQPH

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

Seoul Comp  vs.  NQPH

 Performance (%) 
      Timeline 

Pair Volatility

Assuming 30 trading days horizon, Seoul Comp is expected to under-perform the NQPH. In addition to that, Seoul Comp is 1.34 times more volatile than NQPH. It trades about -0.34 of its total potential returns per unit of risk. NQPH is currently generating about -0.12 per unit of volatility. If you would invest  97,993  in NQPH on September 21, 2018 and sell it today you would lose (2,343)  from holding NQPH or give up 2.39% of portfolio value over 30 days.

Pair Corralation between Seoul Comp and NQPH

0.59
Time Period1 Month [change]
DirectionPositive 
StrengthWeak
Accuracy95.45%
ValuesDaily Returns

Diversification

Very weak diversification

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

 Predicted Return Density 
      Returns 

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