Correlation Between Regency Centers and Saul Centers
Can any of the company-specific risk be diversified away by investing in both Regency Centers and Saul Centers 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 Regency Centers and Saul Centers into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Regency Centers and Saul Centers, you can compare the effects of market volatilities on Regency Centers and Saul Centers 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 Regency Centers with a short position of Saul Centers. Check out your portfolio center. Please also check ongoing floating volatility patterns of Regency Centers and Saul Centers.
Diversification Opportunities for Regency Centers and Saul Centers
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Regency and Saul is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Regency Centers and Saul Centers in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Saul Centers and Regency 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 Regency Centers are associated (or correlated) with Saul Centers. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Saul Centers has no effect on the direction of Regency Centers i.e., Regency Centers and Saul Centers go up and down completely randomly.
Pair Corralation between Regency Centers and Saul Centers
Considering the 90-day investment horizon Regency Centers is expected to generate 1.08 times more return on investment than Saul Centers. However, Regency Centers is 1.08 times more volatile than Saul Centers. It trades about 0.01 of its potential returns per unit of risk. Saul Centers is currently generating about -0.13 per unit of risk. If you would invest 7,488 in Regency Centers on November 28, 2024 and sell it today you would earn a total of 37.00 from holding Regency Centers or generate 0.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Regency Centers vs. Saul Centers
Performance |
Timeline |
Regency Centers |
Saul Centers |
Regency Centers and Saul Centers Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Regency Centers and Saul Centers
The main advantage of trading using opposite Regency Centers and Saul Centers positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Regency Centers position performs unexpectedly, Saul Centers 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 Saul Centers will offset losses from the drop in Saul Centers' long position.Regency Centers vs. Saul Centers | Regency Centers vs. Rithm Property Trust | Regency Centers vs. Getty Realty | Regency Centers vs. Site Centers Corp |
Saul Centers vs. Urban Edge Properties | Saul Centers vs. Rithm Property Trust | Saul Centers vs. Site Centers Corp | Saul Centers vs. Kite Realty Group |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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