Correlation Between Asg Managed and Loomis Sayles
Can any of the company-specific risk be diversified away by investing in both Asg Managed 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 Asg Managed and Loomis Sayles into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Asg Managed Futures and Loomis Sayles Growth, you can compare the effects of market volatilities on Asg Managed 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 Asg Managed with a short position of Loomis Sayles. Check out your portfolio center. Please also check ongoing floating volatility patterns of Asg Managed and Loomis Sayles.
Diversification Opportunities for Asg Managed and Loomis Sayles
-0.38 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Asg and Loomis is -0.38. Overlapping area represents the amount of risk that can be diversified away by holding Asg Managed Futures and Loomis Sayles Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Loomis Sayles Growth and Asg Managed 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 Asg Managed Futures 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 Growth has no effect on the direction of Asg Managed i.e., Asg Managed and Loomis Sayles go up and down completely randomly.
Pair Corralation between Asg Managed and Loomis Sayles
Assuming the 90 days horizon Asg Managed Futures is expected to under-perform the Loomis Sayles. But the mutual fund apears to be less risky and, when comparing its historical volatility, Asg Managed Futures is 1.43 times less risky than Loomis Sayles. The mutual fund trades about -0.03 of its potential returns per unit of risk. The Loomis Sayles Growth is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 1,402 in Loomis Sayles Growth on September 12, 2024 and sell it today you would earn a total of 986.00 from holding Loomis Sayles Growth or generate 70.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Asg Managed Futures vs. Loomis Sayles Growth
Performance |
Timeline |
Asg Managed Futures |
Loomis Sayles Growth |
Asg Managed and Loomis Sayles Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Asg Managed and Loomis Sayles
The main advantage of trading using opposite Asg Managed and Loomis Sayles positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Asg Managed 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.Asg Managed vs. Pimco Trends Managed | Asg Managed vs. Pimco Trends Managed | Asg Managed vs. SCOR PK | Asg Managed vs. Morningstar Unconstrained Allocation |
Loomis Sayles vs. Loomis Sayles Growth | Loomis Sayles vs. Loomis Sayles Growth | Loomis Sayles vs. Loomis Sayles Growth | Loomis Sayles vs. Diamond Hill Large |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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