Correlation Between Loomis Sayles and Sit Small
Can any of the company-specific risk be diversified away by investing in both Loomis Sayles and Sit Small 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 Sit Small 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 Sit Small Cap, you can compare the effects of market volatilities on Loomis Sayles and Sit Small 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 Sit Small. Check out your portfolio center. Please also check ongoing floating volatility patterns of Loomis Sayles and Sit Small.
Diversification Opportunities for Loomis Sayles and Sit Small
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Loomis and Sit is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding Loomis Sayles Inflation and Sit Small Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sit Small Cap 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 Sit Small. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sit Small Cap has no effect on the direction of Loomis Sayles i.e., Loomis Sayles and Sit Small go up and down completely randomly.
Pair Corralation between Loomis Sayles and Sit Small
Assuming the 90 days horizon Loomis Sayles Inflation is expected to generate 0.24 times more return on investment than Sit Small. However, Loomis Sayles Inflation is 4.16 times less risky than Sit Small. It trades about 0.13 of its potential returns per unit of risk. Sit Small Cap is currently generating about -0.06 per unit of risk. If you would invest 944.00 in Loomis Sayles Inflation on December 27, 2024 and sell it today you would earn a total of 21.00 from holding Loomis Sayles Inflation or generate 2.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.36% |
Values | Daily Returns |
Loomis Sayles Inflation vs. Sit Small Cap
Performance |
Timeline |
Loomis Sayles Inflation |
Sit Small Cap |
Loomis Sayles and Sit Small Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Loomis Sayles and Sit Small
The main advantage of trading using opposite Loomis Sayles and Sit Small positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Loomis Sayles position performs unexpectedly, Sit Small 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 Sit Small will offset losses from the drop in Sit Small's long position.Loomis Sayles vs. Franklin Adjustable Government | Loomis Sayles vs. Sdit Short Duration | Loomis Sayles vs. Us Government Securities | Loomis Sayles vs. Us Government Securities |
Sit Small vs. Absolute Convertible Arbitrage | Sit Small vs. Calamos Dynamic Convertible | Sit Small vs. Rationalpier 88 Convertible | Sit Small vs. Virtus Convertible |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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