Pair Correlation Between Seoul Comp and SPTSX Comp

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

Seoul Comp  vs.  SPTSX Comp

 Performance (%) 

Pair Volatility

Assuming 30 trading days horizon, Seoul Comp is expected to generate 1.54 times more return on investment than SPTSX Comp. However, Seoul Comp is 1.54 times more volatile than SPTSX Comp. It trades about 0.04 of its potential returns per unit of risk. SPTSX Comp is currently generating about 0.0 per unit of risk. If you would invest  241,428  in Seoul Comp on March 24, 2018 and sell it today you would earn a total of  5,228  from holding Seoul Comp or generate 2.17% return on investment over 30 days.

Pair Corralation between Seoul Comp and SPTSX Comp

Time Period2 Months [change]
ValuesDaily Returns


Very poor diversification

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

Comparative Volatility

 Predicted Return Density 

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