Correlation Between Multi-manager High and Franklin High
Can any of the company-specific risk be diversified away by investing in both Multi-manager High 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 Multi-manager High and Franklin High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Multi Manager High Yield and Franklin High Yield, you can compare the effects of market volatilities on Multi-manager High 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 Multi-manager High with a short position of Franklin High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Multi-manager High and Franklin High.
Diversification Opportunities for Multi-manager High and Franklin High
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Multi-manager and Franklin is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding Multi Manager High Yield 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 Multi-manager 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 Multi Manager High Yield 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 Multi-manager High i.e., Multi-manager High and Franklin High go up and down completely randomly.
Pair Corralation between Multi-manager High and Franklin High
Assuming the 90 days horizon Multi Manager High Yield is expected to generate 0.65 times more return on investment than Franklin High. However, Multi Manager High Yield is 1.54 times less risky than Franklin High. It trades about 0.27 of its potential returns per unit of risk. Franklin High Yield is currently generating about 0.0 per unit of risk. If you would invest 842.00 in Multi Manager High Yield on November 5, 2024 and sell it today you would earn a total of 7.00 from holding Multi Manager High Yield or generate 0.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Multi Manager High Yield vs. Franklin High Yield
Performance |
Timeline |
Multi Manager High |
Franklin High Yield |
Multi-manager High and Franklin High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Multi-manager High and Franklin High
The main advantage of trading using opposite Multi-manager High and Franklin High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Multi-manager High 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.Multi-manager High vs. Aqr Risk Parity | Multi-manager High vs. The Hartford High | Multi-manager High vs. Calamos High Income | Multi-manager High vs. Massmutual Premier High |
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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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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