Correlation Between Federal Realty and Datagroup
Can any of the company-specific risk be diversified away by investing in both Federal Realty 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 Federal Realty and Datagroup into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federal Realty Investment and Datagroup SE, you can compare the effects of market volatilities on Federal Realty 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 Federal Realty with a short position of Datagroup. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federal Realty and Datagroup.
Diversification Opportunities for Federal Realty and Datagroup
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between Federal and Datagroup is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding Federal Realty Investment and Datagroup SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Datagroup SE and Federal Realty 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 Federal Realty Investment 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 Federal Realty i.e., Federal Realty and Datagroup go up and down completely randomly.
Pair Corralation between Federal Realty and Datagroup
Assuming the 90 days trading horizon Federal Realty Investment is expected to under-perform the Datagroup. But the stock apears to be less risky and, when comparing its historical volatility, Federal Realty Investment is 1.82 times less risky than Datagroup. The stock trades about -0.16 of its potential returns per unit of risk. The Datagroup SE is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 4,435 in Datagroup SE on September 25, 2024 and sell it today you would earn a total of 190.00 from holding Datagroup SE or generate 4.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Federal Realty Investment vs. Datagroup SE
Performance |
Timeline |
Federal Realty Investment |
Datagroup SE |
Federal Realty and Datagroup Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federal Realty and Datagroup
The main advantage of trading using opposite Federal Realty and Datagroup positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federal Realty 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.Federal Realty vs. Uniper SE | Federal Realty vs. Mulberry Group PLC | Federal Realty vs. London Security Plc | Federal Realty vs. Triad Group PLC |
Datagroup vs. Federal Realty Investment | Datagroup vs. Medical Properties Trust | Datagroup vs. United Utilities Group | Datagroup vs. FC Investment Trust |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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