Correlation Analysis Between Straits Tms and SP 500

This module allows you to analyze existing cross correlation between Straits Tms and S&P 500. You can compare the effects of market volatilities on Straits Tms and SP 500 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 Straits Tms with a short position of SP 500. See also your portfolio center. Please also check ongoing floating volatility patterns of Straits Tms and SP 500.
Horizon     30 Days    Login   to change

Straits Tms  vs.  S&P 500

 Performance (%) 

Pair Volatility

Given the investment horizon of 30 days, Straits Tms is expected to generate 0.69 times more return on investment than SP 500. However, Straits Tms is 1.44 times less risky than SP 500. It trades about 0.05 of its potential returns per unit of risk. S&P 500 is currently generating about -0.07 per unit of risk. If you would invest  304,597  in Straits Tms on November 13, 2018 and sell it today you would earn a total of  5,402  from holding Straits Tms or generate 1.77% return on investment over 30 days.

Pair Corralation between Straits Tms and SP 500

Time Period2 Months [change]
ValuesDaily Returns


Straits Tms diversification synergy

Very weak diversification

Overlapping area represents the amount of risk that can be diversified away by holding Straits Tms and S&P 500 in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on SP 500 and Straits Tms 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 Straits Tms are associated (or correlated) with SP 500. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SP 500 has no effect on the direction of Straits Tms i.e. Straits Tms and SP 500 go up and down completely randomly.

Comparative Volatility

 Predicted Return Density 

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