- Companies in United States
- Peer Analysis
This module allows you to analyze existing cross correlation between The Home Depot and Apple. You can compare the effects of market volatilities on Home Depot and Apple 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 Home Depot with a short position of Apple. See also your portfolio center. Please also check ongoing floating volatility patterns of Home Depot and Apple.
|Horizon||30 Days Login to change|
Home Depot and Apple Volatility Contrast
Predicted Return Density
The Home Depot Inc vs. Apple Inc
Allowing for the 30-days total investment horizon, The Home Depot is expected to generate 0.7 times more return on investment than Apple. However, The Home Depot is 1.42 times less risky than Apple. It trades about -0.15 of its potential returns per unit of risk. Apple is currently generating about -0.27 per unit of risk. If you would invest 19,358 in The Home Depot on November 15, 2018 and sell it today you would lose (2,129) from holding The Home Depot or give up 11.0% of portfolio value over 30 days.
Pair Corralation between Home Depot and Apple
|Time Period||2 Months [change]|
Diversification Opportunities for Home Depot and Apple
Overlapping area represents the amount of risk that can be diversified away by holding The Home Depot Inc and Apple Inc in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on Apple and Home Depot 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 The Home Depot are associated (or correlated) with Apple. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Apple has no effect on the direction of Home Depot i.e. Home Depot and Apple go up and down completely randomly.