Correlation Analysis Between Seoul Comp and Jakarta Comp

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

Seoul Comp  vs.  Jakarta Comp

 Performance (%) 

Pair Volatility

Assuming 30 trading days horizon, Seoul Comp is expected to under-perform the Jakarta Comp. In addition to that, Seoul Comp is 1.49 times more volatile than Jakarta Comp. It trades about -0.35 of its total potential returns per unit of risk. Jakarta Comp is currently generating about -0.06 per unit of volatility. If you would invest  589,548  in Jakarta Comp on September 22, 2018 and sell it today you would lose (5,819)  from holding Jakarta Comp or give up 0.99% of portfolio value over 30 days.

Pair Corralation between Seoul Comp and Jakarta Comp

Time Period1 Month [change]
ValuesDaily Returns


Pay attention

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

Comparative Volatility

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