Correlation Between LTC Properties and National Retail
Can any of the company-specific risk be diversified away by investing in both LTC Properties and National Retail 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 LTC Properties and National Retail into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LTC Properties and National Retail Properties, you can compare the effects of market volatilities on LTC Properties and National Retail 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 LTC Properties with a short position of National Retail. Check out your portfolio center. Please also check ongoing floating volatility patterns of LTC Properties and National Retail.
Diversification Opportunities for LTC Properties and National Retail
-0.8 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between LTC and National is -0.8. Overlapping area represents the amount of risk that can be diversified away by holding LTC Properties and National Retail Properties in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on National Retail Prop and LTC Properties 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 LTC Properties are associated (or correlated) with National Retail. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of National Retail Prop has no effect on the direction of LTC Properties i.e., LTC Properties and National Retail go up and down completely randomly.
Pair Corralation between LTC Properties and National Retail
Considering the 90-day investment horizon LTC Properties is expected to generate 1.11 times more return on investment than National Retail. However, LTC Properties is 1.11 times more volatile than National Retail Properties. It trades about 0.1 of its potential returns per unit of risk. National Retail Properties is currently generating about -0.08 per unit of risk. If you would invest 3,566 in LTC Properties on September 3, 2024 and sell it today you would earn a total of 293.00 from holding LTC Properties or generate 8.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
LTC Properties vs. National Retail Properties
Performance |
Timeline |
LTC Properties |
National Retail Prop |
LTC Properties and National Retail Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LTC Properties and National Retail
The main advantage of trading using opposite LTC Properties and National Retail positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LTC Properties position performs unexpectedly, National Retail 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 National Retail will offset losses from the drop in National Retail's long position.LTC Properties vs. Medical Properties Trust | LTC Properties vs. Sabra Healthcare REIT | LTC Properties vs. Healthpeak Properties | LTC Properties vs. National Health Investors |
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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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
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