Correlation Analysis Between Seoul Comp and ATX

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

Seoul Comp  vs.  ATX

 Performance (%) 

Pair Volatility

Assuming 30 trading days horizon, Seoul Comp is expected to generate 1.16 times less return on investment than ATX. But when comparing it to its historical volatility, Seoul Comp is 1.25 times less risky than ATX. It trades about 0.15 of its potential returns per unit of risk. ATX is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest  329,067  in ATX on August 25, 2018 and sell it today you would earn a total of  6,645  from holding ATX or generate 2.02% return on investment over 30 days.

Pair Corralation between Seoul Comp and ATX

Time Period1 Month [change]
ValuesDaily Returns


Very poor diversification

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

Comparative Volatility

 Predicted Return Density 

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