Correlation Between Loomis Sayles and Pimco High
Can any of the company-specific risk be diversified away by investing in both Loomis Sayles and Pimco High 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 Pimco High 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 Pimco High Yield, you can compare the effects of market volatilities on Loomis Sayles and Pimco High 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 Pimco High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Loomis Sayles and Pimco High.
Diversification Opportunities for Loomis Sayles and Pimco High
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between Loomis and Pimco is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Loomis Sayles Inflation and Pimco High Yield in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pimco High Yield 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 Pimco High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pimco High Yield has no effect on the direction of Loomis Sayles i.e., Loomis Sayles and Pimco High go up and down completely randomly.
Pair Corralation between Loomis Sayles and Pimco High
Assuming the 90 days horizon Loomis Sayles Inflation is expected to under-perform the Pimco High. In addition to that, Loomis Sayles is 1.77 times more volatile than Pimco High Yield. It trades about -0.06 of its total potential returns per unit of risk. Pimco High Yield is currently generating about 0.21 per unit of volatility. If you would invest 910.00 in Pimco High Yield on September 12, 2024 and sell it today you would earn a total of 19.00 from holding Pimco High Yield or generate 2.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Loomis Sayles Inflation vs. Pimco High Yield
Performance |
Timeline |
Loomis Sayles Inflation |
Pimco High Yield |
Loomis Sayles and Pimco High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Loomis Sayles and Pimco High
The main advantage of trading using opposite Loomis Sayles and Pimco High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Loomis Sayles position performs unexpectedly, Pimco High 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 Pimco High will offset losses from the drop in Pimco High's long position.Loomis Sayles vs. Western Asset Inflation | Loomis Sayles vs. Altegris Futures Evolution | Loomis Sayles vs. American Funds Inflation | Loomis Sayles vs. Fidelity Sai Inflationfocused |
Pimco High vs. Loomis Sayles Inflation | Pimco High vs. Simt Multi Asset Inflation | Pimco High vs. Deutsche Global Inflation | Pimco High vs. Ab Bond Inflation |
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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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