Correlation Between Real Estate and Loomis Sayles
Can any of the company-specific risk be diversified away by investing in both Real Estate and Loomis Sayles 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 Real Estate and Loomis Sayles into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Real Estate Ultrasector and Loomis Sayles Senior, you can compare the effects of market volatilities on Real Estate and Loomis Sayles 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 Real Estate with a short position of Loomis Sayles. Check out your portfolio center. Please also check ongoing floating volatility patterns of Real Estate and Loomis Sayles.
Diversification Opportunities for Real Estate and Loomis Sayles
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Real and Loomis is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Real Estate Ultrasector and Loomis Sayles Senior in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Loomis Sayles Senior and Real Estate 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 Real Estate Ultrasector are associated (or correlated) with Loomis Sayles. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Loomis Sayles Senior has no effect on the direction of Real Estate i.e., Real Estate and Loomis Sayles go up and down completely randomly.
Pair Corralation between Real Estate and Loomis Sayles
Assuming the 90 days horizon Real Estate Ultrasector is expected to generate 7.54 times more return on investment than Loomis Sayles. However, Real Estate is 7.54 times more volatile than Loomis Sayles Senior. It trades about 0.05 of its potential returns per unit of risk. Loomis Sayles Senior is currently generating about 0.09 per unit of risk. If you would invest 4,028 in Real Estate Ultrasector on December 20, 2024 and sell it today you would earn a total of 182.00 from holding Real Estate Ultrasector or generate 4.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Real Estate Ultrasector vs. Loomis Sayles Senior
Performance |
Timeline |
Real Estate Ultrasector |
Loomis Sayles Senior |
Real Estate and Loomis Sayles Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Real Estate and Loomis Sayles
The main advantage of trading using opposite Real Estate and Loomis Sayles positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Real Estate position performs unexpectedly, Loomis Sayles 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 Loomis Sayles will offset losses from the drop in Loomis Sayles' long position.Real Estate vs. Tax Managed International Equity | Real Estate vs. Touchstone International Equity | Real Estate vs. Dodge International Stock | Real Estate vs. Multimanager Lifestyle Servative |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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