Correlation Between GreenX Metals and American Homes
Can any of the company-specific risk be diversified away by investing in both GreenX Metals and American Homes 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 GreenX Metals and American Homes into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GreenX Metals and American Homes 4, you can compare the effects of market volatilities on GreenX Metals and American Homes 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 GreenX Metals with a short position of American Homes. Check out your portfolio center. Please also check ongoing floating volatility patterns of GreenX Metals and American Homes.
Diversification Opportunities for GreenX Metals and American Homes
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between GreenX and American is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding GreenX Metals and American Homes 4 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on American Homes 4 and GreenX Metals 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 GreenX Metals are associated (or correlated) with American Homes. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of American Homes 4 has no effect on the direction of GreenX Metals i.e., GreenX Metals and American Homes go up and down completely randomly.
Pair Corralation between GreenX Metals and American Homes
Assuming the 90 days trading horizon GreenX Metals is expected to under-perform the American Homes. In addition to that, GreenX Metals is 2.37 times more volatile than American Homes 4. It trades about -0.02 of its total potential returns per unit of risk. American Homes 4 is currently generating about 0.04 per unit of volatility. If you would invest 3,414 in American Homes 4 on September 4, 2024 and sell it today you would earn a total of 347.00 from holding American Homes 4 or generate 10.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 95.98% |
Values | Daily Returns |
GreenX Metals vs. American Homes 4
Performance |
Timeline |
GreenX Metals |
American Homes 4 |
GreenX Metals and American Homes Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GreenX Metals and American Homes
The main advantage of trading using opposite GreenX Metals and American Homes positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GreenX Metals position performs unexpectedly, American Homes 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 American Homes will offset losses from the drop in American Homes' long position.GreenX Metals vs. Lindsell Train Investment | GreenX Metals vs. Fresenius Medical Care | GreenX Metals vs. Various Eateries PLC | GreenX Metals vs. Cizzle Biotechnology Holdings |
American Homes vs. One Media iP | American Homes vs. Live Nation Entertainment | American Homes vs. Check Point Software | American Homes vs. Flutter Entertainment PLC |
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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