Correlation Between Netstreit Corp and Federal Realty
Can any of the company-specific risk be diversified away by investing in both Netstreit Corp 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 Netstreit Corp and Federal Realty into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Netstreit Corp and Federal Realty Investment, you can compare the effects of market volatilities on Netstreit Corp 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 Netstreit Corp with a short position of Federal Realty. Check out your portfolio center. Please also check ongoing floating volatility patterns of Netstreit Corp and Federal Realty.
Diversification Opportunities for Netstreit Corp and Federal Realty
-0.69 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Netstreit and Federal is -0.69. Overlapping area represents the amount of risk that can be diversified away by holding Netstreit Corp 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 Netstreit Corp 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 Netstreit Corp 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 Netstreit Corp i.e., Netstreit Corp and Federal Realty go up and down completely randomly.
Pair Corralation between Netstreit Corp and Federal Realty
Given the investment horizon of 90 days Netstreit Corp is expected to generate 1.0 times more return on investment than Federal Realty. However, Netstreit Corp is 1.0 times more volatile than Federal Realty Investment. It trades about 0.16 of its potential returns per unit of risk. Federal Realty Investment is currently generating about -0.12 per unit of risk. If you would invest 1,375 in Netstreit Corp on December 30, 2024 and sell it today you would earn a total of 209.00 from holding Netstreit Corp or generate 15.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Netstreit Corp vs. Federal Realty Investment
Performance |
Timeline |
Netstreit Corp |
Federal Realty Investment |
Netstreit Corp and Federal Realty Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Netstreit Corp and Federal Realty
The main advantage of trading using opposite Netstreit Corp and Federal Realty positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Netstreit Corp 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.Netstreit Corp vs. Rithm Property Trust | Netstreit Corp vs. Four Corners Property | Netstreit Corp vs. Getty Realty | Netstreit Corp vs. Saul Centers |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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