Correlation Between Lord Abbett and Cref Inflation
Can any of the company-specific risk be diversified away by investing in both Lord Abbett and Cref Inflation 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 Cref Inflation 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 Cref Inflation Linked Bond, you can compare the effects of market volatilities on Lord Abbett and Cref Inflation 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 Cref Inflation. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lord Abbett and Cref Inflation.
Diversification Opportunities for Lord Abbett and Cref Inflation
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Lord and Cref is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Lord Abbett Inflation and Cref Inflation Linked Bond in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cref Inflation Linked 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 Cref Inflation. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cref Inflation Linked has no effect on the direction of Lord Abbett i.e., Lord Abbett and Cref Inflation go up and down completely randomly.
Pair Corralation between Lord Abbett and Cref Inflation
Assuming the 90 days horizon Lord Abbett is expected to generate 1.35 times less return on investment than Cref Inflation. But when comparing it to its historical volatility, Lord Abbett Inflation is 1.35 times less risky than Cref Inflation. It trades about 0.17 of its potential returns per unit of risk. Cref Inflation Linked Bond is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 8,785 in Cref Inflation Linked Bond on May 4, 2025 and sell it today you would earn a total of 183.00 from holding Cref Inflation Linked Bond or generate 2.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Lord Abbett Inflation vs. Cref Inflation Linked Bond
Performance |
Timeline |
Lord Abbett Inflation |
Cref Inflation Linked |
Lord Abbett and Cref Inflation Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lord Abbett and Cref Inflation
The main advantage of trading using opposite Lord Abbett and Cref Inflation positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lord Abbett position performs unexpectedly, Cref Inflation 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 Cref Inflation will offset losses from the drop in Cref Inflation's long position.Lord Abbett vs. Sa Emerging Markets | Lord Abbett vs. Ashmore Emerging Markets | Lord Abbett vs. Investec Emerging Markets | Lord Abbett vs. Franklin Emerging Market |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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