Correlation Between Franklin Lifesmart and Ivy Small
Can any of the company-specific risk be diversified away by investing in both Franklin Lifesmart and Ivy Small 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 Ivy Small 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 Ivy Small Cap, you can compare the effects of market volatilities on Franklin Lifesmart and Ivy Small 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 Ivy Small. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Lifesmart and Ivy Small.
Diversification Opportunities for Franklin Lifesmart and Ivy Small
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between Franklin and Ivy is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Lifesmart Retirement and Ivy Small Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ivy Small Cap 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 Ivy Small. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ivy Small Cap has no effect on the direction of Franklin Lifesmart i.e., Franklin Lifesmart and Ivy Small go up and down completely randomly.
Pair Corralation between Franklin Lifesmart and Ivy Small
Assuming the 90 days horizon Franklin Lifesmart Retirement is expected to generate 0.25 times more return on investment than Ivy Small. However, Franklin Lifesmart Retirement is 4.01 times less risky than Ivy Small. It trades about 0.07 of its potential returns per unit of risk. Ivy Small Cap is currently generating about -0.08 per unit of risk. If you would invest 1,044 in Franklin Lifesmart Retirement on December 20, 2024 and sell it today you would earn a total of 16.00 from holding Franklin Lifesmart Retirement or generate 1.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin Lifesmart Retirement vs. Ivy Small Cap
Performance |
Timeline |
Franklin Lifesmart |
Ivy Small Cap |
Franklin Lifesmart and Ivy Small Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Lifesmart and Ivy Small
The main advantage of trading using opposite Franklin Lifesmart and Ivy Small positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Lifesmart position performs unexpectedly, Ivy Small 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 Ivy Small will offset losses from the drop in Ivy Small's long position.Franklin Lifesmart vs. Auer Growth Fund | Franklin Lifesmart vs. Eip Growth And | Franklin Lifesmart vs. Qs Moderate Growth | Franklin Lifesmart vs. Growth Allocation Fund |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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