Correlation Between American Homes and Datagroup
Can any of the company-specific risk be diversified away by investing in both American Homes and Datagroup 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 American Homes and Datagroup into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between American Homes 4 and Datagroup SE, you can compare the effects of market volatilities on American Homes and Datagroup 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 American Homes with a short position of Datagroup. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Homes and Datagroup.
Diversification Opportunities for American Homes and Datagroup
-0.09 | Correlation Coefficient |
Good diversification
The 3 months correlation between American and Datagroup is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding American Homes 4 and Datagroup SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Datagroup SE and American Homes 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 American Homes 4 are associated (or correlated) with Datagroup. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Datagroup SE has no effect on the direction of American Homes i.e., American Homes and Datagroup go up and down completely randomly.
Pair Corralation between American Homes and Datagroup
Assuming the 90 days trading horizon American Homes 4 is expected to under-perform the Datagroup. But the stock apears to be less risky and, when comparing its historical volatility, American Homes 4 is 2.07 times less risky than Datagroup. The stock trades about -0.07 of its potential returns per unit of risk. The Datagroup SE is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 4,145 in Datagroup SE on September 19, 2024 and sell it today you would earn a total of 795.00 from holding Datagroup SE or generate 19.18% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
American Homes 4 vs. Datagroup SE
Performance |
Timeline |
American Homes 4 |
Datagroup SE |
American Homes and Datagroup Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with American Homes and Datagroup
The main advantage of trading using opposite American Homes and Datagroup positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Homes position performs unexpectedly, Datagroup 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 Datagroup will offset losses from the drop in Datagroup's long position.American Homes vs. Samsung Electronics Co | American Homes vs. Samsung Electronics Co | American Homes vs. Hyundai Motor | American Homes vs. Reliance Industries Ltd |
Datagroup vs. Samsung Electronics Co | Datagroup vs. Samsung Electronics Co | Datagroup vs. Hyundai Motor | Datagroup vs. Reliance Industries Ltd |
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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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