Correlation Between Home Depot and College Retirement
Can any of the company-specific risk be diversified away by investing in both Home Depot and College Retirement 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 College Retirement into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Home Depot and College Retirement Equities, you can compare the effects of market volatilities on Home Depot and College Retirement 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 College Retirement. Check out your portfolio center. Please also check ongoing floating volatility patterns of Home Depot and College Retirement.
Diversification Opportunities for Home Depot and College Retirement
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Home and College is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Home Depot and College Retirement Equities in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on College Retirement 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 College Retirement. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of College Retirement has no effect on the direction of Home Depot i.e., Home Depot and College Retirement go up and down completely randomly.
Pair Corralation between Home Depot and College Retirement
Allowing for the 90-day total investment horizon Home Depot is expected to generate 1.13 times less return on investment than College Retirement. In addition to that, Home Depot is 1.16 times more volatile than College Retirement Equities. It trades about 0.09 of its total potential returns per unit of risk. College Retirement Equities is currently generating about 0.13 per unit of volatility. If you would invest 32,276 in College Retirement Equities on September 6, 2024 and sell it today you would earn a total of 21,442 from holding College Retirement Equities or generate 66.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Home Depot vs. College Retirement Equities
Performance |
Timeline |
Home Depot |
College Retirement |
Home Depot and College Retirement Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Home Depot and College Retirement
The main advantage of trading using opposite Home Depot and College Retirement positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Home Depot position performs unexpectedly, College Retirement 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 College Retirement will offset losses from the drop in College Retirement's long position.Home Depot vs. Floor Decor Holdings | Home Depot vs. Arhaus Inc | Home Depot vs. Haverty Furniture Companies | Home Depot vs. Kirklands |
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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 Portfolio Dashboard module to portfolio dashboard that provides centralized access to all your investments.
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