Pair Correlation Between Straits Tms and NYSE

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

Pair Volatility

Given the investment horizon of 30 days, Straits Tms is expected to generate 1.11 times less return on investment than NYSE. In addition to that, Straits Tms is 1.24 times more volatile than NYSE. It trades about 0.45 of its total potential returns per unit of risk. NYSE is currently generating about 0.62 per unit of volatility. If you would invest  1,280,022  in NYSE on December 21, 2017 and sell it today you would earn a total of  58,424  from holding NYSE or generate 4.56% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between Straits Tms and NYSE


Time Period1 Month [change]
StrengthVery Strong
ValuesDaily Returns


Almost no diversification

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

Comparative Volatility

 Predicted Return Density