Correlation Between Loomis Sayles and Loomis Sayles
Can any of the company-specific risk be diversified away by investing in both Loomis Sayles 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 Loomis Sayles and Loomis Sayles into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Loomis Sayles Investment and Loomis Sayles Senior, you can compare the effects of market volatilities on Loomis Sayles 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 Loomis Sayles with a short position of Loomis Sayles. Check out your portfolio center. Please also check ongoing floating volatility patterns of Loomis Sayles and Loomis Sayles.
Diversification Opportunities for Loomis Sayles and Loomis Sayles
-0.8 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Loomis and Loomis is -0.8. Overlapping area represents the amount of risk that can be diversified away by holding Loomis Sayles Investment 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 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 Investment 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 Loomis Sayles i.e., Loomis Sayles and Loomis Sayles go up and down completely randomly.
Pair Corralation between Loomis Sayles and Loomis Sayles
Assuming the 90 days horizon Loomis Sayles Investment is expected to under-perform the Loomis Sayles. In addition to that, Loomis Sayles is 1.89 times more volatile than Loomis Sayles Senior. It trades about -0.07 of its total potential returns per unit of risk. Loomis Sayles Senior is currently generating about 0.28 per unit of volatility. If you would invest 803.00 in Loomis Sayles Senior on August 28, 2024 and sell it today you would earn a total of 22.00 from holding Loomis Sayles Senior or generate 2.74% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Significant |
| Accuracy | 98.44% |
| Values | Daily Returns |
Loomis Sayles Investment vs. Loomis Sayles Senior
Performance |
| Timeline |
| Loomis Sayles Investment |
| Loomis Sayles Senior |
Loomis Sayles and Loomis Sayles Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Loomis Sayles and Loomis Sayles
The main advantage of trading using opposite Loomis Sayles and Loomis Sayles positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Loomis Sayles 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.| Loomis Sayles vs. Asg Managed Futures | Loomis Sayles vs. Asg Managed Futures | Loomis Sayles vs. Natixis Oakmark | Loomis Sayles vs. Natixis Oakmark International |
| Loomis Sayles vs. Dimensional Retirement Income | Loomis Sayles vs. Jp Morgan Smartretirement | Loomis Sayles vs. Pgim Conservative Retirement | Loomis Sayles vs. Qs Moderate Growth |
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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