Correlation Analysis Between Swiss Mrt and Straits Tms

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

Swiss Mrt  vs.  Straits Tms

 Performance (%) 
      Timeline 

Pair Volatility

If you would invest  304,597  in Straits Tms on October 14, 2018 and sell it today you would earn a total of  763.00  from holding Straits Tms or generate 0.25% return on investment over 30 days.

Pair Corralation between Swiss Mrt and Straits Tms

0.08
Time Period1 Month [change]
DirectionPositive 
StrengthInsignificant
Accuracy5.0%
ValuesDaily Returns

Diversification

Swiss Mrt diversification synergy

Significant diversification

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

 Predicted Return Density 
      Returns 

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See also your portfolio center. Please also try Pair Correlation module to compare performance and examine historical correlation between any two equity instruments.


 
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