Correlation Between Lord Abbett and Jpmorgan Government
Can any of the company-specific risk be diversified away by investing in both Lord Abbett and Jpmorgan Government 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 Jpmorgan Government into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lord Abbett Inflation and Jpmorgan Government Bond, you can compare the effects of market volatilities on Lord Abbett and Jpmorgan Government 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 Jpmorgan Government. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lord Abbett and Jpmorgan Government.
Diversification Opportunities for Lord Abbett and Jpmorgan Government
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Lord and Jpmorgan is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Lord Abbett Inflation and Jpmorgan Government Bond in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jpmorgan Government Bond 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 Inflation are associated (or correlated) with Jpmorgan Government. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jpmorgan Government Bond has no effect on the direction of Lord Abbett i.e., Lord Abbett and Jpmorgan Government go up and down completely randomly.
Pair Corralation between Lord Abbett and Jpmorgan Government
Assuming the 90 days horizon Lord Abbett Inflation is expected to generate 0.52 times more return on investment than Jpmorgan Government. However, Lord Abbett Inflation is 1.92 times less risky than Jpmorgan Government. It trades about 0.31 of its potential returns per unit of risk. Jpmorgan Government Bond is currently generating about 0.15 per unit of risk. If you would invest 1,143 in Lord Abbett Inflation on December 21, 2024 and sell it today you would earn a total of 32.00 from holding Lord Abbett Inflation or generate 2.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Lord Abbett Inflation vs. Jpmorgan Government Bond
Performance |
Timeline |
Lord Abbett Inflation |
Jpmorgan Government Bond |
Lord Abbett and Jpmorgan Government Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lord Abbett and Jpmorgan Government
The main advantage of trading using opposite Lord Abbett and Jpmorgan Government positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lord Abbett position performs unexpectedly, Jpmorgan Government 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 Jpmorgan Government will offset losses from the drop in Jpmorgan Government's long position.Lord Abbett vs. Angel Oak Financial | Lord Abbett vs. Gabelli Global Financial | Lord Abbett vs. T Rowe Price | Lord Abbett vs. John Hancock Financial |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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