Correlation Between Pfizer and Agilent Technologies
Can any of the company-specific risk be diversified away by investing in both Pfizer and Agilent Technologies 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 Pfizer and Agilent Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pfizer Inc and Agilent Technologies, you can compare the effects of market volatilities on Pfizer and Agilent Technologies 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 Pfizer with a short position of Agilent Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pfizer and Agilent Technologies.
Diversification Opportunities for Pfizer and Agilent Technologies
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Pfizer and Agilent is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Pfizer Inc and Agilent Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Agilent Technologies and Pfizer 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 Pfizer Inc are associated (or correlated) with Agilent Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Agilent Technologies has no effect on the direction of Pfizer i.e., Pfizer and Agilent Technologies go up and down completely randomly.
Pair Corralation between Pfizer and Agilent Technologies
Considering the 90-day investment horizon Pfizer Inc is expected to generate 0.84 times more return on investment than Agilent Technologies. However, Pfizer Inc is 1.2 times less risky than Agilent Technologies. It trades about 0.13 of its potential returns per unit of risk. Agilent Technologies is currently generating about 0.05 per unit of risk. If you would invest 2,244 in Pfizer Inc on May 16, 2025 and sell it today you would earn a total of 267.00 from holding Pfizer Inc or generate 11.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Pfizer Inc vs. Agilent Technologies
Performance |
Timeline |
Pfizer Inc |
Agilent Technologies |
Pfizer and Agilent Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pfizer and Agilent Technologies
The main advantage of trading using opposite Pfizer and Agilent Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pfizer position performs unexpectedly, Agilent Technologies 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 Agilent Technologies will offset losses from the drop in Agilent Technologies' long position.Pfizer vs. AbbVie Inc | Pfizer vs. Merck Company | Pfizer vs. Eli Lilly and | Pfizer vs. Bristol Myers Squibb |
Agilent Technologies vs. Danaher | Agilent Technologies vs. IDEXX Laboratories | Agilent Technologies vs. Illumina | Agilent Technologies vs. Thermo Fisher Scientific |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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