Correlation Between Franklin Lifesmart and Federated High
Can any of the company-specific risk be diversified away by investing in both Franklin Lifesmart and Federated 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 Franklin Lifesmart and Federated High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin Lifesmart Retirement and Federated High Income, you can compare the effects of market volatilities on Franklin Lifesmart and Federated 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 Franklin Lifesmart with a short position of Federated High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Lifesmart and Federated High.
Diversification Opportunities for Franklin Lifesmart and Federated High
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Franklin and Federated is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Lifesmart Retirement and Federated High Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated High Income and Franklin Lifesmart 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 Franklin Lifesmart Retirement are associated (or correlated) with Federated High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated High Income has no effect on the direction of Franklin Lifesmart i.e., Franklin Lifesmart and Federated High go up and down completely randomly.
Pair Corralation between Franklin Lifesmart and Federated High
Assuming the 90 days horizon Franklin Lifesmart Retirement is expected to under-perform the Federated High. In addition to that, Franklin Lifesmart is 2.71 times more volatile than Federated High Income. It trades about -0.32 of its total potential returns per unit of risk. Federated High Income is currently generating about -0.21 per unit of volatility. If you would invest 683.00 in Federated High Income on October 11, 2024 and sell it today you would lose (5.00) from holding Federated High Income or give up 0.73% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin Lifesmart Retirement vs. Federated High Income
Performance |
Timeline |
Franklin Lifesmart |
Federated High Income |
Franklin Lifesmart and Federated High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Lifesmart and Federated High
The main advantage of trading using opposite Franklin Lifesmart and Federated High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Lifesmart position performs unexpectedly, Federated 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 Federated High will offset losses from the drop in Federated High's long position.Franklin Lifesmart vs. Delaware Investments Ultrashort | Franklin Lifesmart vs. Barings Active Short | Franklin Lifesmart vs. Chartwell Short Duration | Franklin Lifesmart vs. Siit Ultra Short |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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