Correlation Between Home Depot and ETFS Commodity
Can any of the company-specific risk be diversified away by investing in both Home Depot and ETFS Commodity at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Home Depot and ETFS Commodity into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Home Depot and ETFS Commodity Securities, you can compare the effects of market volatilities on Home Depot and ETFS Commodity 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 ETFS Commodity. Check out your portfolio center. Please also check ongoing floating volatility patterns of Home Depot and ETFS Commodity.
Diversification Opportunities for Home Depot and ETFS Commodity
-0.57 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Home and ETFS is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding Home Depot and ETFS Commodity Securities in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ETFS Commodity Securities 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 Home Depot are associated (or correlated) with ETFS Commodity. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ETFS Commodity Securities has no effect on the direction of Home Depot i.e., Home Depot and ETFS Commodity go up and down completely randomly.
Pair Corralation between Home Depot and ETFS Commodity
Allowing for the 90-day total investment horizon Home Depot is expected to generate 20.16 times less return on investment than ETFS Commodity. But when comparing it to its historical volatility, Home Depot is 3.79 times less risky than ETFS Commodity. It trades about 0.05 of its potential returns per unit of risk. ETFS Commodity Securities is currently generating about 0.29 of returns per unit of risk over similar time horizon. If you would invest 3,427 in ETFS Commodity Securities on September 18, 2024 and sell it today you would earn a total of 758.00 from holding ETFS Commodity Securities or generate 22.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 3.03% |
Values | Daily Returns |
Home Depot vs. ETFS Commodity Securities
Performance |
Timeline |
Home Depot |
ETFS Commodity Securities |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Home Depot and ETFS Commodity Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Home Depot and ETFS Commodity
The main advantage of trading using opposite Home Depot and ETFS Commodity positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Home Depot position performs unexpectedly, ETFS Commodity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in ETFS Commodity will offset losses from the drop in ETFS Commodity's long position.Home Depot vs. Aquagold International | Home Depot vs. Thrivent High Yield | Home Depot vs. Morningstar Unconstrained Allocation | Home Depot vs. Via Renewables |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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