- Companies in United States
- Peer Analysis
This module allows you to analyze existing cross correlation between Straits Tms and Madrid Gnrl. You can compare the effects of market volatilities on Straits Tms and Madrid Gnrl 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 Madrid Gnrl. See also your portfolio center. Please also check ongoing floating volatility patterns of Straits Tms and Madrid Gnrl.
|Horizon||30 Days Login to change|
Predicted Return Density
Straits Tms vs. Madrid Gnrl
Given the investment horizon of 30 days, Straits Tms is expected to generate 1.04 times more return on investment than Madrid Gnrl. However, Straits Tms is 1.04 times more volatile than Madrid Gnrl. It trades about -0.01 of its potential returns per unit of risk. Madrid Gnrl is currently generating about -0.03 per unit of risk. If you would invest 306,251 in Straits Tms on November 18, 2018 and sell it today you would lose (1,697) from holding Straits Tms or give up 0.55% of portfolio value over 30 days.
Pair Corralation between Straits Tms and Madrid Gnrl
|Time Period||2 Months [change]|
Diversification Opportunities for Straits Tms and Madrid Gnrl
Overlapping area represents the amount of risk that can be diversified away by holding Straits Tms and Madrid Gnrl in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on Madrid Gnrl 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 Madrid Gnrl. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Madrid Gnrl has no effect on the direction of Straits Tms i.e. Straits Tms and Madrid Gnrl go up and down completely randomly.