Correlation Between Vicinity Centres and Realty Income
Can any of the company-specific risk be diversified away by investing in both Vicinity Centres and Realty Income 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 Vicinity Centres and Realty Income into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Vicinity Centres and Realty Income, you can compare the effects of market volatilities on Vicinity Centres and Realty Income 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 Vicinity Centres with a short position of Realty Income. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vicinity Centres and Realty Income.
Diversification Opportunities for Vicinity Centres and Realty Income
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Vicinity and Realty is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Vicinity Centres and Realty Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Realty Income and Vicinity Centres 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 Vicinity Centres are associated (or correlated) with Realty Income. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Realty Income has no effect on the direction of Vicinity Centres i.e., Vicinity Centres and Realty Income go up and down completely randomly.
Pair Corralation between Vicinity Centres and Realty Income
Assuming the 90 days horizon Vicinity Centres is expected to generate 1.43 times more return on investment than Realty Income. However, Vicinity Centres is 1.43 times more volatile than Realty Income. It trades about 0.08 of its potential returns per unit of risk. Realty Income is currently generating about 0.05 per unit of risk. If you would invest 105.00 in Vicinity Centres on September 23, 2024 and sell it today you would earn a total of 15.00 from holding Vicinity Centres or generate 14.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Vicinity Centres vs. Realty Income
Performance |
Timeline |
Vicinity Centres |
Realty Income |
Vicinity Centres and Realty Income Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vicinity Centres and Realty Income
The main advantage of trading using opposite Vicinity Centres and Realty Income positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vicinity Centres position performs unexpectedly, Realty Income 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 Realty Income will offset losses from the drop in Realty Income's long position.Vicinity Centres vs. Simon Property Group | Vicinity Centres vs. Realty Income | Vicinity Centres vs. Link Real Estate | Vicinity Centres vs. Kimco Realty |
Realty Income vs. AIR PRODCHEMICALS | Realty Income vs. ScanSource | Realty Income vs. GigaMedia | Realty Income vs. Fevertree Drinks PLC |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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