Correlation Between LTC Properties and City Office
Can any of the company-specific risk be diversified away by investing in both LTC Properties and City Office 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 City Office into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LTC Properties and City Office, you can compare the effects of market volatilities on LTC Properties and City Office 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 City Office. Check out your portfolio center. Please also check ongoing floating volatility patterns of LTC Properties and City Office.
Diversification Opportunities for LTC Properties and City Office
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between LTC and City is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding LTC Properties and City Office in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on City Office 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 City Office. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of City Office has no effect on the direction of LTC Properties i.e., LTC Properties and City Office go up and down completely randomly.
Pair Corralation between LTC Properties and City Office
Considering the 90-day investment horizon LTC Properties is expected to generate 0.54 times more return on investment than City Office. However, LTC Properties is 1.84 times less risky than City Office. It trades about 0.04 of its potential returns per unit of risk. City Office is currently generating about -0.02 per unit of risk. If you would invest 3,412 in LTC Properties on December 26, 2024 and sell it today you would earn a total of 71.00 from holding LTC Properties or generate 2.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
LTC Properties vs. City Office
Performance |
Timeline |
LTC Properties |
City Office |
LTC Properties and City Office Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LTC Properties and City Office
The main advantage of trading using opposite LTC Properties and City Office positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LTC Properties position performs unexpectedly, City Office 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 City Office will offset losses from the drop in City Office'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 |
City Office vs. Hudson Pacific Properties | City Office vs. Piedmont Office Realty | City Office vs. Office Properties Income | City Office vs. Kilroy Realty Corp |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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