Correlation Between Franklin Lifesmart and Jp Morgan
Can any of the company-specific risk be diversified away by investing in both Franklin Lifesmart and Jp Morgan 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 Jp Morgan 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 Jp Morgan Smartretirement, you can compare the effects of market volatilities on Franklin Lifesmart and Jp Morgan 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 Jp Morgan. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Lifesmart and Jp Morgan.
Diversification Opportunities for Franklin Lifesmart and Jp Morgan
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Franklin and JTSQX is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Lifesmart Retirement and Jp Morgan Smartretirement in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jp Morgan Smartretirement 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 Jp Morgan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jp Morgan Smartretirement has no effect on the direction of Franklin Lifesmart i.e., Franklin Lifesmart and Jp Morgan go up and down completely randomly.
Pair Corralation between Franklin Lifesmart and Jp Morgan
Assuming the 90 days horizon Franklin Lifesmart Retirement is expected to generate 0.48 times more return on investment than Jp Morgan. However, Franklin Lifesmart Retirement is 2.08 times less risky than Jp Morgan. It trades about -0.32 of its potential returns per unit of risk. Jp Morgan Smartretirement is currently generating about -0.23 per unit of risk. If you would invest 1,084 in Franklin Lifesmart Retirement on October 11, 2024 and sell it today you would lose (32.00) from holding Franklin Lifesmart Retirement or give up 2.95% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin Lifesmart Retirement vs. Jp Morgan Smartretirement
Performance |
Timeline |
Franklin Lifesmart |
Jp Morgan Smartretirement |
Franklin Lifesmart and Jp Morgan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Lifesmart and Jp Morgan
The main advantage of trading using opposite Franklin Lifesmart and Jp Morgan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Lifesmart position performs unexpectedly, Jp Morgan 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 Jp Morgan will offset losses from the drop in Jp Morgan'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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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