Correlation Between Total Return and Loomis Sayles
Can any of the company-specific risk be diversified away by investing in both Total Return 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 Total Return and Loomis Sayles into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Total Return Fund and Loomis Sayles Investment, you can compare the effects of market volatilities on Total Return 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 Total Return with a short position of Loomis Sayles. Check out your portfolio center. Please also check ongoing floating volatility patterns of Total Return and Loomis Sayles.
Diversification Opportunities for Total Return and Loomis Sayles
0.99 | Correlation Coefficient |
No risk reduction
The 3 months correlation between Total and Loomis is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding Total Return Fund and Loomis Sayles Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Loomis Sayles Investment and Total Return 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 Total Return Fund 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 Investment has no effect on the direction of Total Return i.e., Total Return and Loomis Sayles go up and down completely randomly.
Pair Corralation between Total Return and Loomis Sayles
Assuming the 90 days horizon Total Return Fund is expected to generate 1.07 times more return on investment than Loomis Sayles. However, Total Return is 1.07 times more volatile than Loomis Sayles Investment. It trades about 0.09 of its potential returns per unit of risk. Loomis Sayles Investment is currently generating about 0.1 per unit of risk. If you would invest 779.00 in Total Return Fund on September 4, 2024 and sell it today you would earn a total of 87.00 from holding Total Return Fund or generate 11.17% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Total Return Fund vs. Loomis Sayles Investment
Performance |
| Timeline |
| Total Return |
| Loomis Sayles Investment |
Total Return and Loomis Sayles Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Total Return and Loomis Sayles
The main advantage of trading using opposite Total Return and Loomis Sayles positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Total Return 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.| Total Return vs. Scharf Global Opportunity | Total Return vs. Qs Global Equity | Total Return vs. Fm Investments Large | Total Return vs. Touchstone Large Cap |
| Loomis Sayles vs. Asg Managed Futures | Loomis Sayles vs. Asg Managed Futures | Loomis Sayles vs. Natixis Oakmark | Loomis Sayles vs. Natixis Oakmark International |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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