Correlation Between T Rowe and Loomis Sayles
Can any of the company-specific risk be diversified away by investing in both T Rowe 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 T Rowe and Loomis Sayles into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between T Rowe Price and Loomis Sayles Global, you can compare the effects of market volatilities on T Rowe 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 T Rowe with a short position of Loomis Sayles. Check out your portfolio center. Please also check ongoing floating volatility patterns of T Rowe and Loomis Sayles.
Diversification Opportunities for T Rowe and Loomis Sayles
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between RPIBX and Loomis is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding T Rowe Price and Loomis Sayles Global in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Loomis Sayles Global and T Rowe 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 T Rowe Price 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 Global has no effect on the direction of T Rowe i.e., T Rowe and Loomis Sayles go up and down completely randomly.
Pair Corralation between T Rowe and Loomis Sayles
Assuming the 90 days horizon T Rowe is expected to generate 2.16 times less return on investment than Loomis Sayles. In addition to that, T Rowe is 1.07 times more volatile than Loomis Sayles Global. It trades about 0.01 of its total potential returns per unit of risk. Loomis Sayles Global is currently generating about 0.02 per unit of volatility. If you would invest 1,398 in Loomis Sayles Global on August 26, 2024 and sell it today you would earn a total of 42.00 from holding Loomis Sayles Global or generate 3.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
T Rowe Price vs. Loomis Sayles Global
Performance |
| Timeline |
| T Rowe Price |
| Loomis Sayles Global |
T Rowe and Loomis Sayles Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with T Rowe and Loomis Sayles
The main advantage of trading using opposite T Rowe and Loomis Sayles positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if T Rowe 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.The idea behind T Rowe Price and Loomis Sayles Global pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| Loomis Sayles vs. Loomis Sayles Bond | Loomis Sayles vs. T Rowe Price | Loomis Sayles vs. Westcore Plus Bond | Loomis Sayles vs. Aberdeen Global High |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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