Correlation Between Franklin New and Franklin Lifesmart
Can any of the company-specific risk be diversified away by investing in both Franklin New and Franklin Lifesmart 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 New and Franklin Lifesmart into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin New Jersey and Franklin Lifesmart 2050, you can compare the effects of market volatilities on Franklin New and Franklin Lifesmart 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 New with a short position of Franklin Lifesmart. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin New and Franklin Lifesmart.
Diversification Opportunities for Franklin New and Franklin Lifesmart
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between Franklin and Franklin is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding Franklin New Jersey and Franklin Lifesmart 2050 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Franklin Lifesmart 2050 and Franklin New 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 New Jersey are associated (or correlated) with Franklin Lifesmart. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Franklin Lifesmart 2050 has no effect on the direction of Franklin New i.e., Franklin New and Franklin Lifesmart go up and down completely randomly.
Pair Corralation between Franklin New and Franklin Lifesmart
Assuming the 90 days horizon Franklin New is expected to generate 3.61 times less return on investment than Franklin Lifesmart. But when comparing it to its historical volatility, Franklin New Jersey is 2.95 times less risky than Franklin Lifesmart. It trades about 0.09 of its potential returns per unit of risk. Franklin Lifesmart 2050 is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 1,239 in Franklin Lifesmart 2050 on September 12, 2024 and sell it today you would earn a total of 371.00 from holding Franklin Lifesmart 2050 or generate 29.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 99.7% |
Values | Daily Returns |
Franklin New Jersey vs. Franklin Lifesmart 2050
Performance |
Timeline |
Franklin New Jersey |
Franklin Lifesmart 2050 |
Franklin New and Franklin Lifesmart Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin New and Franklin Lifesmart
The main advantage of trading using opposite Franklin New and Franklin Lifesmart positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin New position performs unexpectedly, Franklin Lifesmart 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 Lifesmart will offset losses from the drop in Franklin Lifesmart's long position.Franklin New vs. New York Tax Free | Franklin New vs. Georgia Tax Free Bond | Franklin New vs. T Rowe Price | Franklin New vs. Maryland Tax Free Bond |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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