Correlation Between Pace Municipal and Loomis Sayles
Can any of the company-specific risk be diversified away by investing in both Pace Municipal 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 Pace Municipal and Loomis Sayles into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pace Municipal Fixed and Loomis Sayles Investment, you can compare the effects of market volatilities on Pace Municipal 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 Pace Municipal with a short position of Loomis Sayles. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pace Municipal and Loomis Sayles.
Diversification Opportunities for Pace Municipal and Loomis Sayles
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Pace and Loomis is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Pace Municipal Fixed 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 Pace Municipal 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 Pace Municipal Fixed 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 Pace Municipal i.e., Pace Municipal and Loomis Sayles go up and down completely randomly.
Pair Corralation between Pace Municipal and Loomis Sayles
Assuming the 90 days horizon Pace Municipal is expected to generate 1.8 times less return on investment than Loomis Sayles. But when comparing it to its historical volatility, Pace Municipal Fixed is 2.11 times less risky than Loomis Sayles. It trades about 0.06 of its potential returns per unit of risk. Loomis Sayles Investment is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 887.00 in Loomis Sayles Investment on September 24, 2024 and sell it today you would earn a total of 85.00 from holding Loomis Sayles Investment or generate 9.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Pace Municipal Fixed vs. Loomis Sayles Investment
Performance |
Timeline |
Pace Municipal Fixed |
Loomis Sayles Investment |
Pace Municipal and Loomis Sayles Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pace Municipal and Loomis Sayles
The main advantage of trading using opposite Pace Municipal and Loomis Sayles positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pace Municipal 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.Pace Municipal vs. Avantis Large Cap | Pace Municipal vs. M Large Cap | Pace Municipal vs. Americafirst Large Cap | Pace Municipal vs. Pace Large Value |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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