Correlation Between Loomis Sayles and Franklin High
Can any of the company-specific risk be diversified away by investing in both Loomis Sayles and Franklin High 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 Franklin High 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 Franklin High Yield, you can compare the effects of market volatilities on Loomis Sayles and Franklin High 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 Franklin High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Loomis Sayles and Franklin High.
Diversification Opportunities for Loomis Sayles and Franklin High
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Loomis and Franklin is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Loomis Sayles Limited and Franklin High Yield in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Franklin High Yield 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 Franklin High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Franklin High Yield has no effect on the direction of Loomis Sayles i.e., Loomis Sayles and Franklin High go up and down completely randomly.
Pair Corralation between Loomis Sayles and Franklin High
Assuming the 90 days horizon Loomis Sayles Limited is expected to generate 0.37 times more return on investment than Franklin High. However, Loomis Sayles Limited is 2.74 times less risky than Franklin High. It trades about -0.17 of its potential returns per unit of risk. Franklin High Yield is currently generating about -0.1 per unit of risk. If you would invest 1,089 in Loomis Sayles Limited on September 28, 2024 and sell it today you would lose (13.00) from holding Loomis Sayles Limited or give up 1.19% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Loomis Sayles Limited vs. Franklin High Yield
Performance |
Timeline |
Loomis Sayles Limited |
Franklin High Yield |
Loomis Sayles and Franklin High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Loomis Sayles and Franklin High
The main advantage of trading using opposite Loomis Sayles and Franklin High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Loomis Sayles position performs unexpectedly, Franklin High 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 Franklin High will offset losses from the drop in Franklin High's 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 |
Franklin High vs. Copeland Risk Managed | Franklin High vs. Alliancebernstein Global High | Franklin High vs. Us High Relative | Franklin High vs. Pace High Yield |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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