Correlation Between Datagroup and Federal Realty
Can any of the company-specific risk be diversified away by investing in both Datagroup and Federal Realty 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 Datagroup and Federal Realty into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Datagroup SE and Federal Realty Investment, you can compare the effects of market volatilities on Datagroup and Federal Realty 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 Datagroup with a short position of Federal Realty. Check out your portfolio center. Please also check ongoing floating volatility patterns of Datagroup and Federal Realty.
Diversification Opportunities for Datagroup and Federal Realty
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between Datagroup and Federal is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding Datagroup SE and Federal Realty Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federal Realty Investment and Datagroup 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 Datagroup SE are associated (or correlated) with Federal Realty. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federal Realty Investment has no effect on the direction of Datagroup i.e., Datagroup and Federal Realty go up and down completely randomly.
Pair Corralation between Datagroup and Federal Realty
Assuming the 90 days trading horizon Datagroup SE is expected to under-perform the Federal Realty. In addition to that, Datagroup is 2.12 times more volatile than Federal Realty Investment. It trades about -0.02 of its total potential returns per unit of risk. Federal Realty Investment is currently generating about 0.05 per unit of volatility. If you would invest 10,083 in Federal Realty Investment on September 25, 2024 and sell it today you would earn a total of 1,089 from holding Federal Realty Investment or generate 10.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 96.44% |
Values | Daily Returns |
Datagroup SE vs. Federal Realty Investment
Performance |
Timeline |
Datagroup SE |
Federal Realty Investment |
Datagroup and Federal Realty Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Datagroup and Federal Realty
The main advantage of trading using opposite Datagroup and Federal Realty positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Datagroup position performs unexpectedly, Federal Realty 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 Federal Realty will offset losses from the drop in Federal Realty's long position.Datagroup vs. Federal Realty Investment | Datagroup vs. Medical Properties Trust | Datagroup vs. United Utilities Group | Datagroup vs. FC Investment Trust |
Federal Realty vs. Uniper SE | Federal Realty vs. Mulberry Group PLC | Federal Realty vs. London Security Plc | Federal Realty vs. Triad Group 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 Global Correlations module to find global opportunities by holding instruments from different markets.
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