Correlation Between Franklin Federal and Lord Abbett
Can any of the company-specific risk be diversified away by investing in both Franklin Federal and Lord Abbett 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 Federal and Lord Abbett into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin Federal Tax Free and Lord Abbett Diversified, you can compare the effects of market volatilities on Franklin Federal and Lord Abbett 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 Federal with a short position of Lord Abbett. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Federal and Lord Abbett.
Diversification Opportunities for Franklin Federal and Lord Abbett
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Franklin and Lord is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Federal Tax Free and Lord Abbett Diversified in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lord Abbett Diversified and Franklin Federal 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 Federal Tax Free are associated (or correlated) with Lord Abbett. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lord Abbett Diversified has no effect on the direction of Franklin Federal i.e., Franklin Federal and Lord Abbett go up and down completely randomly.
Pair Corralation between Franklin Federal and Lord Abbett
Assuming the 90 days horizon Franklin Federal Tax Free is expected to generate 0.71 times more return on investment than Lord Abbett. However, Franklin Federal Tax Free is 1.41 times less risky than Lord Abbett. It trades about 0.18 of its potential returns per unit of risk. Lord Abbett Diversified is currently generating about 0.07 per unit of risk. If you would invest 1,081 in Franklin Federal Tax Free on December 2, 2024 and sell it today you would earn a total of 9.00 from holding Franklin Federal Tax Free or generate 0.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin Federal Tax Free vs. Lord Abbett Diversified
Performance |
Timeline |
Franklin Federal Tax |
Lord Abbett Diversified |
Franklin Federal and Lord Abbett Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Federal and Lord Abbett
The main advantage of trading using opposite Franklin Federal and Lord Abbett positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Federal position performs unexpectedly, Lord Abbett 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 Lord Abbett will offset losses from the drop in Lord Abbett's long position.Franklin Federal vs. Multi Manager High Yield | Franklin Federal vs. Prudential High Yield | Franklin Federal vs. T Rowe Price | Franklin Federal vs. High Yield Fund Investor |
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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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