Correlation Between Loomis Sayles and Pace Municipal
Can any of the company-specific risk be diversified away by investing in both Loomis Sayles and Pace Municipal 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 Pace Municipal 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 Pace Municipal Fixed, you can compare the effects of market volatilities on Loomis Sayles and Pace Municipal 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 Pace Municipal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Loomis Sayles and Pace Municipal.
Diversification Opportunities for Loomis Sayles and Pace Municipal
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Loomis and Pace is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Loomis Sayles Inflation and Pace Municipal Fixed in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pace Municipal Fixed 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 Pace Municipal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pace Municipal Fixed has no effect on the direction of Loomis Sayles i.e., Loomis Sayles and Pace Municipal go up and down completely randomly.
Pair Corralation between Loomis Sayles and Pace Municipal
Assuming the 90 days horizon Loomis Sayles Inflation is expected to under-perform the Pace Municipal. In addition to that, Loomis Sayles is 1.59 times more volatile than Pace Municipal Fixed. It trades about -0.09 of its total potential returns per unit of risk. Pace Municipal Fixed is currently generating about -0.07 per unit of volatility. If you would invest 1,221 in Pace Municipal Fixed on September 21, 2024 and sell it today you would lose (3.00) from holding Pace Municipal Fixed or give up 0.25% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Loomis Sayles Inflation vs. Pace Municipal Fixed
Performance |
Timeline |
Loomis Sayles Inflation |
Pace Municipal Fixed |
Loomis Sayles and Pace Municipal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Loomis Sayles and Pace Municipal
The main advantage of trading using opposite Loomis Sayles and Pace Municipal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Loomis Sayles position performs unexpectedly, Pace Municipal 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 Pace Municipal will offset losses from the drop in Pace Municipal's long position.Loomis Sayles vs. Dws Government Money | Loomis Sayles vs. The National Tax Free | Loomis Sayles vs. California High Yield Municipal | Loomis Sayles vs. Transamerica Intermediate Muni |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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