Correlation Between Retail Opportunity and LTC Properties
Can any of the company-specific risk be diversified away by investing in both Retail Opportunity and LTC Properties 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 Retail Opportunity and LTC Properties into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Retail Opportunity Investments and LTC Properties, you can compare the effects of market volatilities on Retail Opportunity and LTC Properties 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 Retail Opportunity with a short position of LTC Properties. Check out your portfolio center. Please also check ongoing floating volatility patterns of Retail Opportunity and LTC Properties.
Diversification Opportunities for Retail Opportunity and LTC Properties
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Retail and LTC is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding Retail Opportunity Investments and LTC Properties in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LTC Properties and Retail Opportunity 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 Retail Opportunity Investments are associated (or correlated) with LTC Properties. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LTC Properties has no effect on the direction of Retail Opportunity i.e., Retail Opportunity and LTC Properties go up and down completely randomly.
Pair Corralation between Retail Opportunity and LTC Properties
Given the investment horizon of 90 days Retail Opportunity is expected to generate 5.01 times less return on investment than LTC Properties. In addition to that, Retail Opportunity is 1.03 times more volatile than LTC Properties. It trades about 0.04 of its total potential returns per unit of risk. LTC Properties is currently generating about 0.22 per unit of volatility. If you would invest 3,152 in LTC Properties on February 2, 2024 and sell it today you would earn a total of 209.00 from holding LTC Properties or generate 6.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Retail Opportunity Investments vs. LTC Properties
Performance |
Timeline |
Retail Opportunity |
LTC Properties |
Retail Opportunity and LTC Properties Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Retail Opportunity and LTC Properties
The main advantage of trading using opposite Retail Opportunity and LTC Properties positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Retail Opportunity position performs unexpectedly, LTC Properties 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 LTC Properties will offset losses from the drop in LTC Properties' long position.Retail Opportunity vs. Kite Realty Group | Retail Opportunity vs. Urban Edge Properties | Retail Opportunity vs. Acadia Realty Trust |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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