Pair Correlation Between Seoul Comp and Stockholm

This module allows you to analyze existing cross correlation between Seoul Comp and Stockholm. You can compare the effects of market volatilities on Seoul Comp and Stockholm 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 Stockholm. See also your portfolio center. Please also check ongoing floating volatility patterns of Seoul Comp and Stockholm.
Investment Horizon     30 Days    Login   to change
Symbolsvs
 Seoul Comp  vs   Stockholm
 Performance (%) 
      Timeline 

Pair Volatility

Assuming 30 trading days horizon, Seoul Comp is expected to generate 0.83 times more return on investment than Stockholm. However, Seoul Comp is 1.21 times less risky than Stockholm. It trades about 0.19 of its potential returns per unit of risk. Stockholm is currently generating about -0.15 per unit of risk. If you would invest  249,250  in Seoul Comp on October 25, 2017 and sell it today you would earn a total of  5,051  from holding Seoul Comp or generate 2.03% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between Seoul Comp and Stockholm
0.06

Parameters

Time Period1 Month [change]
DirectionPositive 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Diversification

Significant diversification

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

 Predicted Return Density 
      Returns