Correlation Between Columbia Real and Realty Income
Can any of the company-specific risk be diversified away by investing in both Columbia Real 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 Columbia Real and Realty Income into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Columbia Real Estate and Realty Income, you can compare the effects of market volatilities on Columbia Real 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 Columbia Real with a short position of Realty Income. Check out your portfolio center. Please also check ongoing floating volatility patterns of Columbia Real and Realty Income.
Diversification Opportunities for Columbia Real and Realty Income
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Columbia and Realty is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Columbia Real Estate and Realty Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Realty Income and Columbia Real 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 Columbia Real Estate 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 Columbia Real i.e., Columbia Real and Realty Income go up and down completely randomly.
Pair Corralation between Columbia Real and Realty Income
Assuming the 90 days horizon Columbia Real Estate is expected to under-perform the Realty Income. But the mutual fund apears to be less risky and, when comparing its historical volatility, Columbia Real Estate is 1.14 times less risky than Realty Income. The mutual fund trades about -0.04 of its potential returns per unit of risk. The Realty Income is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 5,614 in Realty Income on December 2, 2024 and sell it today you would earn a total of 89.00 from holding Realty Income or generate 1.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Columbia Real Estate vs. Realty Income
Performance |
Timeline |
Columbia Real Estate |
Realty Income |
Columbia Real and Realty Income Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Columbia Real and Realty Income
The main advantage of trading using opposite Columbia Real and Realty Income positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Columbia Real 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.Columbia Real vs. Morningstar Defensive Bond | Columbia Real vs. Jhvit Core Bond | Columbia Real vs. Versatile Bond Portfolio | Columbia Real vs. Ab Bond Inflation |
Realty Income vs. Federal Realty Investment | Realty Income vs. Macerich Company | Realty Income vs. National Retail Properties | Realty Income vs. Kimco Realty |
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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