Correlation Between Loomis Sayles and Columbia Real
Can any of the company-specific risk be diversified away by investing in both Loomis Sayles and Columbia Real 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 Loomis Sayles and Columbia Real into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Loomis Sayles Inflation and Columbia Real Estate, you can compare the effects of market volatilities on Loomis Sayles and Columbia Real 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 Loomis Sayles with a short position of Columbia Real. Check out your portfolio center. Please also check ongoing floating volatility patterns of Loomis Sayles and Columbia Real.
Diversification Opportunities for Loomis Sayles and Columbia Real
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Loomis and Columbia is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding Loomis Sayles Inflation and Columbia Real Estate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Columbia Real Estate and Loomis Sayles 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 Loomis Sayles Inflation are associated (or correlated) with Columbia Real. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Columbia Real Estate has no effect on the direction of Loomis Sayles i.e., Loomis Sayles and Columbia Real go up and down completely randomly.
Pair Corralation between Loomis Sayles and Columbia Real
Assuming the 90 days horizon Loomis Sayles Inflation is expected to generate 0.25 times more return on investment than Columbia Real. However, Loomis Sayles Inflation is 3.97 times less risky than Columbia Real. It trades about -0.11 of its potential returns per unit of risk. Columbia Real Estate is currently generating about -0.18 per unit of risk. If you would invest 966.00 in Loomis Sayles Inflation on September 21, 2024 and sell it today you would lose (12.00) from holding Loomis Sayles Inflation or give up 1.24% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Loomis Sayles Inflation vs. Columbia Real Estate
Performance |
Timeline |
Loomis Sayles Inflation |
Columbia Real Estate |
Loomis Sayles and Columbia Real Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Loomis Sayles and Columbia Real
The main advantage of trading using opposite Loomis Sayles and Columbia Real positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Loomis Sayles position performs unexpectedly, Columbia Real 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 Columbia Real will offset losses from the drop in Columbia Real's long position.Loomis Sayles vs. Dws Government Money | Loomis Sayles vs. The National Tax Free | Loomis Sayles vs. California High Yield Municipal | Loomis Sayles vs. Transamerica Intermediate Muni |
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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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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