Correlation Between Saul Centers and Real Brokerage
Can any of the company-specific risk be diversified away by investing in both Saul Centers and Real Brokerage 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 Saul Centers and Real Brokerage into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Saul Centers and Real Brokerage, you can compare the effects of market volatilities on Saul Centers and Real Brokerage 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 Saul Centers with a short position of Real Brokerage. Check out your portfolio center. Please also check ongoing floating volatility patterns of Saul Centers and Real Brokerage.
Diversification Opportunities for Saul Centers and Real Brokerage
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Saul and Real is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Saul Centers and Real Brokerage in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Real Brokerage and Saul Centers 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 Saul Centers are associated (or correlated) with Real Brokerage. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Real Brokerage has no effect on the direction of Saul Centers i.e., Saul Centers and Real Brokerage go up and down completely randomly.
Pair Corralation between Saul Centers and Real Brokerage
Considering the 90-day investment horizon Saul Centers is expected to generate 0.39 times more return on investment than Real Brokerage. However, Saul Centers is 2.58 times less risky than Real Brokerage. It trades about -0.06 of its potential returns per unit of risk. Real Brokerage is currently generating about -0.08 per unit of risk. If you would invest 3,194 in Saul Centers on August 18, 2025 and sell it today you would lose (170.00) from holding Saul Centers or give up 5.32% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Saul Centers vs. Real Brokerage
Performance |
| Timeline |
| Saul Centers |
| Real Brokerage |
Saul Centers and Real Brokerage Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Saul Centers and Real Brokerage
The main advantage of trading using opposite Saul Centers and Real Brokerage positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Saul Centers position performs unexpectedly, Real Brokerage 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 Real Brokerage will offset losses from the drop in Real Brokerage's long position.| Saul Centers vs. AG Mortgage Investment | Saul Centers vs. Whitestone REIT | Saul Centers vs. CBL Associates Properties | Saul Centers vs. Redwood Trust |
| Real Brokerage vs. Hotel101 Global Holdings | Real Brokerage vs. Smith Douglas Homes | Real Brokerage vs. Nexpoint Residential Trust | Real Brokerage vs. Saul Centers |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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