Correlation Between Lord Abbett and Avantis Short-term
Can any of the company-specific risk be diversified away by investing in both Lord Abbett and Avantis Short-term 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 Lord Abbett and Avantis Short-term into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lord Abbett Short and Avantis Short Term Fixed, you can compare the effects of market volatilities on Lord Abbett and Avantis Short-term 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 Lord Abbett with a short position of Avantis Short-term. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lord Abbett and Avantis Short-term.
Diversification Opportunities for Lord Abbett and Avantis Short-term
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Lord and Avantis is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Lord Abbett Short and Avantis Short Term Fixed in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Avantis Short Term and Lord Abbett 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 Lord Abbett Short are associated (or correlated) with Avantis Short-term. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Avantis Short Term has no effect on the direction of Lord Abbett i.e., Lord Abbett and Avantis Short-term go up and down completely randomly.
Pair Corralation between Lord Abbett and Avantis Short-term
Assuming the 90 days horizon Lord Abbett is expected to generate 1.31 times less return on investment than Avantis Short-term. But when comparing it to its historical volatility, Lord Abbett Short is 1.03 times less risky than Avantis Short-term. It trades about 0.13 of its potential returns per unit of risk. Avantis Short Term Fixed is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 940.00 in Avantis Short Term Fixed on December 29, 2024 and sell it today you would earn a total of 16.00 from holding Avantis Short Term Fixed or generate 1.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Lord Abbett Short vs. Avantis Short Term Fixed
Performance |
Timeline |
Lord Abbett Short |
Avantis Short Term |
Lord Abbett and Avantis Short-term Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lord Abbett and Avantis Short-term
The main advantage of trading using opposite Lord Abbett and Avantis Short-term positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lord Abbett position performs unexpectedly, Avantis Short-term 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 Avantis Short-term will offset losses from the drop in Avantis Short-term's long position.Lord Abbett vs. Artisan High Income | Lord Abbett vs. Ft 9331 Corporate | Lord Abbett vs. Western Asset E | Lord Abbett vs. Pace Strategic Fixed |
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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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