Correlation Between Loomis Sayles and New Economy
Can any of the company-specific risk be diversified away by investing in both Loomis Sayles and New Economy 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 New Economy 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 New Economy Fund, you can compare the effects of market volatilities on Loomis Sayles and New Economy 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 New Economy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Loomis Sayles and New Economy.
Diversification Opportunities for Loomis Sayles and New Economy
-0.54 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Loomis and New is -0.54. Overlapping area represents the amount of risk that can be diversified away by holding Loomis Sayles Inflation and New Economy Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on New Economy Fund 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 New Economy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of New Economy Fund has no effect on the direction of Loomis Sayles i.e., Loomis Sayles and New Economy go up and down completely randomly.
Pair Corralation between Loomis Sayles and New Economy
Assuming the 90 days horizon Loomis Sayles Inflation is expected to generate 0.3 times more return on investment than New Economy. However, Loomis Sayles Inflation is 3.35 times less risky than New Economy. It trades about 0.2 of its potential returns per unit of risk. New Economy Fund is currently generating about 0.01 per unit of risk. If you would invest 959.00 in Loomis Sayles Inflation on September 13, 2024 and sell it today you would earn a total of 9.00 from holding Loomis Sayles Inflation or generate 0.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Loomis Sayles Inflation vs. New Economy Fund
Performance |
Timeline |
Loomis Sayles Inflation |
New Economy Fund |
Loomis Sayles and New Economy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Loomis Sayles and New Economy
The main advantage of trading using opposite Loomis Sayles and New Economy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Loomis Sayles position performs unexpectedly, New Economy 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 New Economy will offset losses from the drop in New Economy's long position.Loomis Sayles vs. Smallcap Growth Fund | Loomis Sayles vs. Df Dent Small | Loomis Sayles vs. Lebenthal Lisanti Small | Loomis Sayles vs. Scout Small Cap |
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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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
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