Correlation Between Loomis Sayles and Emerging Markets
Can any of the company-specific risk be diversified away by investing in both Loomis Sayles and Emerging Markets 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 Emerging Markets into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Loomis Sayles Limited and Emerging Markets Fund, you can compare the effects of market volatilities on Loomis Sayles and Emerging Markets 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 Emerging Markets. Check out your portfolio center. Please also check ongoing floating volatility patterns of Loomis Sayles and Emerging Markets.
Diversification Opportunities for Loomis Sayles and Emerging Markets
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Loomis and Emerging is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Loomis Sayles Limited and Emerging Markets Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Emerging Markets 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 Limited are associated (or correlated) with Emerging Markets. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Emerging Markets has no effect on the direction of Loomis Sayles i.e., Loomis Sayles and Emerging Markets go up and down completely randomly.
Pair Corralation between Loomis Sayles and Emerging Markets
Assuming the 90 days horizon Loomis Sayles is expected to generate 13.92 times less return on investment than Emerging Markets. But when comparing it to its historical volatility, Loomis Sayles Limited is 5.46 times less risky than Emerging Markets. It trades about 0.07 of its potential returns per unit of risk. Emerging Markets Fund is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 909.00 in Emerging Markets Fund on May 4, 2025 and sell it today you would earn a total of 72.00 from holding Emerging Markets Fund or generate 7.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Loomis Sayles Limited vs. Emerging Markets Fund
Performance |
Timeline |
Loomis Sayles Limited |
Emerging Markets |
Loomis Sayles and Emerging Markets Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Loomis Sayles and Emerging Markets
The main advantage of trading using opposite Loomis Sayles and Emerging Markets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Loomis Sayles position performs unexpectedly, Emerging Markets 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 Emerging Markets will offset losses from the drop in Emerging Markets' long position.Loomis Sayles vs. Asg Managed Futures | Loomis Sayles vs. Asg Managed Futures | Loomis Sayles vs. Natixis Oakmark | Loomis Sayles vs. Natixis Oakmark International |
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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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
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