Correlation Between Franklin Lifesmart and Qs Moderate
Can any of the company-specific risk be diversified away by investing in both Franklin Lifesmart and Qs Moderate 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 Qs Moderate 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 Qs Moderate Growth, you can compare the effects of market volatilities on Franklin Lifesmart and Qs Moderate 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 Qs Moderate. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Lifesmart and Qs Moderate.
Diversification Opportunities for Franklin Lifesmart and Qs Moderate
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Franklin and SCGRX is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Lifesmart Retirement and Qs Moderate Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Qs Moderate Growth 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 Qs Moderate. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Qs Moderate Growth has no effect on the direction of Franklin Lifesmart i.e., Franklin Lifesmart and Qs Moderate go up and down completely randomly.
Pair Corralation between Franklin Lifesmart and Qs Moderate
Assuming the 90 days horizon Franklin Lifesmart Retirement is expected to generate 0.3 times more return on investment than Qs Moderate. However, Franklin Lifesmart Retirement is 3.37 times less risky than Qs Moderate. It trades about -0.3 of its potential returns per unit of risk. Qs Moderate Growth is currently generating about -0.24 per unit of risk. If you would invest 1,085 in Franklin Lifesmart Retirement on October 9, 2024 and sell it today you would lose (30.00) from holding Franklin Lifesmart Retirement or give up 2.76% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.0% |
Values | Daily Returns |
Franklin Lifesmart Retirement vs. Qs Moderate Growth
Performance |
Timeline |
Franklin Lifesmart |
Qs Moderate Growth |
Franklin Lifesmart and Qs Moderate Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Lifesmart and Qs Moderate
The main advantage of trading using opposite Franklin Lifesmart and Qs Moderate positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Lifesmart position performs unexpectedly, Qs Moderate 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 Qs Moderate will offset losses from the drop in Qs Moderate's long position.Franklin Lifesmart vs. Alpine Ultra Short | Franklin Lifesmart vs. Ultra Short Fixed Income | Franklin Lifesmart vs. Transamerica Short Term Bond | Franklin Lifesmart vs. Abr Enhanced 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 Stocks Directory module to find actively traded stocks across global markets.
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