Correlation Between American High and Loomis Sayles
Can any of the company-specific risk be diversified away by investing in both American High 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 American High and Loomis Sayles into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between American High Income and Loomis Sayles Institutional, you can compare the effects of market volatilities on American High 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 American High with a short position of Loomis Sayles. Check out your portfolio center. Please also check ongoing floating volatility patterns of American High and Loomis Sayles.
Diversification Opportunities for American High and Loomis Sayles
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between American and Loomis is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding American High Income and Loomis Sayles Institutional in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Loomis Sayles Instit and American High 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 American High Income 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 Instit has no effect on the direction of American High i.e., American High and Loomis Sayles go up and down completely randomly.
Pair Corralation between American High and Loomis Sayles
Assuming the 90 days horizon American High is expected to generate 1.54 times less return on investment than Loomis Sayles. But when comparing it to its historical volatility, American High Income is 1.07 times less risky than Loomis Sayles. It trades about 0.22 of its potential returns per unit of risk. Loomis Sayles Institutional is currently generating about 0.31 of returns per unit of risk over similar time horizon. If you would invest 556.00 in Loomis Sayles Institutional on September 1, 2024 and sell it today you would earn a total of 46.00 from holding Loomis Sayles Institutional or generate 8.27% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 99.21% |
| Values | Daily Returns |
American High Income vs. Loomis Sayles Institutional
Performance |
| Timeline |
| American High Income |
| Loomis Sayles Instit |
American High and Loomis Sayles Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with American High and Loomis Sayles
The main advantage of trading using opposite American High and Loomis Sayles positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American High 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.| American High vs. Income Fund Of | American High vs. New World Fund | American High vs. American Mutual Fund | American High vs. American Mutual Fund |
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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 CEOs Directory module to screen CEOs from public companies around the world.
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