Correlation Between Barings Global and Lord Abbett
Can any of the company-specific risk be diversified away by investing in both Barings Global 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 Barings Global and Lord Abbett into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Barings Global Floating and Lord Abbett Convertible, you can compare the effects of market volatilities on Barings Global 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 Barings Global with a short position of Lord Abbett. Check out your portfolio center. Please also check ongoing floating volatility patterns of Barings Global and Lord Abbett.
Diversification Opportunities for Barings Global and Lord Abbett
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Barings and Lord is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Barings Global Floating and Lord Abbett Convertible in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lord Abbett Convertible and Barings Global 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 Barings Global Floating 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 Convertible has no effect on the direction of Barings Global i.e., Barings Global and Lord Abbett go up and down completely randomly.
Pair Corralation between Barings Global and Lord Abbett
Assuming the 90 days horizon Barings Global Floating is expected to generate 0.33 times more return on investment than Lord Abbett. However, Barings Global Floating is 3.06 times less risky than Lord Abbett. It trades about 0.2 of its potential returns per unit of risk. Lord Abbett Convertible is currently generating about 0.06 per unit of risk. If you would invest 728.00 in Barings Global Floating on October 4, 2024 and sell it today you would earn a total of 147.00 from holding Barings Global Floating or generate 20.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Barings Global Floating vs. Lord Abbett Convertible
Performance |
Timeline |
Barings Global Floating |
Lord Abbett Convertible |
Barings Global and Lord Abbett Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Barings Global and Lord Abbett
The main advantage of trading using opposite Barings Global and Lord Abbett positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Barings Global 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.Barings Global vs. Huber Capital Diversified | Barings Global vs. Blackrock Sm Cap | Barings Global vs. Oaktree Diversifiedome | Barings Global vs. The Gabelli Small |
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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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