This module allows you to analyze existing cross correlation between Foot Locker and All Ords. You can compare the effects of market volatilities on Foot Locker and All Ords 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 Foot Locker with a short position of All Ords. See also your portfolio center. Please also check ongoing floating volatility patterns of Foot Locker and All Ords.
|Horizon||30 Days Login to change|
Predicted Return Density
Foot Locker Inc vs. All Ords
Allowing for the 30-days total investment horizon, Foot Locker is expected to under-perform the All Ords. In addition to that, Foot Locker is 3.75 times more volatile than All Ords. It trades about -0.11 of its total potential returns per unit of risk. All Ords is currently generating about -0.04 per unit of volatility. If you would invest 671,610 in All Ords on July 25, 2019 and sell it today you would lose (10,180) from holding All Ords or give up 1.52% of portfolio value over 30 days.
Pair Corralation between Foot Locker and All Ords
|Time Period||2 Months [change]|
Diversification Opportunities for Foot Locker and All Ords
Overlapping area represents the amount of risk that can be diversified away by holding Foot Locker Inc and All Ords in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on All Ords and Foot Locker 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 Foot Locker are associated (or correlated) with All Ords. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of All Ords has no effect on the direction of Foot Locker i.e. Foot Locker and All Ords go up and down completely randomly.
See also your portfolio center. Please also try Insider Screener module to find insiders across different sectors to evaluate their impact on performance.