Correlation Analysis Between OMXVGI and Hang Seng

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

OMXVGI  vs.  Hang Seng

 Performance (%) 
      Timeline 

Pair Volatility

Assuming 30 trading days horizon, OMXVGI is expected to generate 0.22 times more return on investment than Hang Seng. However, OMXVGI is 4.47 times less risky than Hang Seng. It trades about 0.11 of its potential returns per unit of risk. Hang Seng is currently generating about -0.18 per unit of risk. If you would invest  70,842  in OMXVGI on May 21, 2018 and sell it today you would earn a total of  529.70  from holding OMXVGI or generate 0.75% return on investment over 30 days.

Pair Corralation between OMXVGI and Hang Seng

0.0
Time Period1 Month [change]
DirectionFlat 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Diversification

Pay attention

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

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