Correlation Analysis Between Hang Seng and ISEQ

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

Hang Seng  vs.  ISEQ

 Performance (%) 
      Timeline 

Pair Volatility

Given the investment horizon of 30 days, Hang Seng is expected to generate 1.74 times more return on investment than ISEQ. However, Hang Seng is 1.74 times more volatile than ISEQ. It trades about 0.01 of its potential returns per unit of risk. ISEQ is currently generating about -0.05 per unit of risk. If you would invest  2,789,550  in Hang Seng on August 22, 2018 and sell it today you would earn a total of  5,808  from holding Hang Seng or generate 0.21% return on investment over 30 days.

Pair Corralation between Hang Seng and ISEQ

0.0
Time Period1 Month [change]
DirectionFlat 
StrengthInsignificant
Accuracy95.65%
ValuesDaily Returns

Diversification

Pay attention

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

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