Correlation Between Loomis Sayles and Calvert Long-term
Can any of the company-specific risk be diversified away by investing in both Loomis Sayles and Calvert Long-term 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 Calvert Long-term 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 Calvert Long Term Income, you can compare the effects of market volatilities on Loomis Sayles and Calvert Long-term 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 Calvert Long-term. Check out your portfolio center. Please also check ongoing floating volatility patterns of Loomis Sayles and Calvert Long-term.
Diversification Opportunities for Loomis Sayles and Calvert Long-term
0.96 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Loomis and Calvert is 0.96. Overlapping area represents the amount of risk that can be diversified away by holding Loomis Sayles Inflation and Calvert Long Term Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Calvert Long Term 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 Calvert Long-term. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Calvert Long Term has no effect on the direction of Loomis Sayles i.e., Loomis Sayles and Calvert Long-term go up and down completely randomly.
Pair Corralation between Loomis Sayles and Calvert Long-term
Assuming the 90 days horizon Loomis Sayles is expected to generate 1.1 times less return on investment than Calvert Long-term. But when comparing it to its historical volatility, Loomis Sayles Inflation is 1.06 times less risky than Calvert Long-term. It trades about 0.23 of its potential returns per unit of risk. Calvert Long Term Income is currently generating about 0.24 of returns per unit of risk over similar time horizon. If you would invest 1,557 in Calvert Long Term Income on July 24, 2025 and sell it today you would earn a total of 52.00 from holding Calvert Long Term Income or generate 3.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Loomis Sayles Inflation vs. Calvert Long Term Income
Performance |
Timeline |
Loomis Sayles Inflation |
Calvert Long Term |
Loomis Sayles and Calvert Long-term Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Loomis Sayles and Calvert Long-term
The main advantage of trading using opposite Loomis Sayles and Calvert Long-term positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Loomis Sayles position performs unexpectedly, Calvert Long-term 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 Calvert Long-term will offset losses from the drop in Calvert Long-term's long position.Loomis Sayles vs. Qs Growth Fund | Loomis Sayles vs. Blrc Sgy Mnp | Loomis Sayles vs. Auxier Focus Fund | Loomis Sayles vs. T Rowe Price |
Calvert Long-term vs. Calvert Developed Market | Calvert Long-term vs. Calvert Developed Market | Calvert Long-term vs. Calvert Short Duration | Calvert Long-term vs. Calvert International Responsible |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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