Correlation Between Loomis Sayles and Atac Inflation
Can any of the company-specific risk be diversified away by investing in both Loomis Sayles and Atac Inflation 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 Atac Inflation 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 Atac Inflation Rotation, you can compare the effects of market volatilities on Loomis Sayles and Atac Inflation 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 Atac Inflation. Check out your portfolio center. Please also check ongoing floating volatility patterns of Loomis Sayles and Atac Inflation.
Diversification Opportunities for Loomis Sayles and Atac Inflation
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between Loomis and Atac is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding Loomis Sayles Inflation and Atac Inflation Rotation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Atac Inflation Rotation 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 Atac Inflation. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Atac Inflation Rotation has no effect on the direction of Loomis Sayles i.e., Loomis Sayles and Atac Inflation go up and down completely randomly.
Pair Corralation between Loomis Sayles and Atac Inflation
Assuming the 90 days horizon Loomis Sayles Inflation is expected to under-perform the Atac Inflation. But the mutual fund apears to be less risky and, when comparing its historical volatility, Loomis Sayles Inflation is 9.23 times less risky than Atac Inflation. The mutual fund trades about -0.06 of its potential returns per unit of risk. The Atac Inflation Rotation is currently generating about 0.25 of returns per unit of risk over similar time horizon. If you would invest 3,144 in Atac Inflation Rotation on August 28, 2024 and sell it today you would earn a total of 359.00 from holding Atac Inflation Rotation or generate 11.42% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Loomis Sayles Inflation vs. Atac Inflation Rotation
Performance |
| Timeline |
| Loomis Sayles Inflation |
| Atac Inflation Rotation |
Loomis Sayles and Atac Inflation Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Loomis Sayles and Atac Inflation
The main advantage of trading using opposite Loomis Sayles and Atac Inflation positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Loomis Sayles position performs unexpectedly, Atac Inflation 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 Atac Inflation will offset losses from the drop in Atac Inflation's long position.| Loomis Sayles vs. Loomis Sayles Inflation | Loomis Sayles vs. Loomis Sayles Bond | Loomis Sayles vs. Loomis Sayles Bond | Loomis Sayles vs. Loomis Sayles Small |
| Atac Inflation vs. ATAC Rotation ETF | Atac Inflation vs. Tidal ETF Trust | Atac Inflation vs. Quadratic Interest Rate | Atac Inflation vs. Baron Global Advantage |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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