Correlation Analysis Between Seoul Comp and ISEQ

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

Seoul Comp  vs.  ISEQ

 Performance (%) 

Pair Volatility

Assuming 30 trading days horizon, Seoul Comp is expected to generate 0.81 times more return on investment than ISEQ. However, Seoul Comp is 1.24 times less risky than ISEQ. It trades about -0.07 of its potential returns per unit of risk. ISEQ is currently generating about -0.16 per unit of risk. If you would invest  214,512  in Seoul Comp on November 12, 2018 and sell it today you would lose (6,255)  from holding Seoul Comp or give up 2.92% of portfolio value over 30 days.

Pair Corralation between Seoul Comp and ISEQ

Time Period2 Months [change]
StrengthVery Weak
ValuesDaily Returns


Seoul Comp diversification synergy

Modest diversification

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

Comparative Volatility

 Predicted Return Density 

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See also your portfolio center. Please also try Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.