Correlation Between Agilent Technologies and Merck
Can any of the company-specific risk be diversified away by investing in both Agilent Technologies and Merck 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 Agilent Technologies and Merck into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Agilent Technologies and Merck Company, you can compare the effects of market volatilities on Agilent Technologies and Merck 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 Agilent Technologies with a short position of Merck. Check out your portfolio center. Please also check ongoing floating volatility patterns of Agilent Technologies and Merck.
Diversification Opportunities for Agilent Technologies and Merck
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Agilent and Merck is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Agilent Technologies and Merck Company in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Merck Company and Agilent Technologies 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 Agilent Technologies are associated (or correlated) with Merck. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Merck Company has no effect on the direction of Agilent Technologies i.e., Agilent Technologies and Merck go up and down completely randomly.
Pair Corralation between Agilent Technologies and Merck
Taking into account the 90-day investment horizon Agilent Technologies is expected to generate 1.55 times more return on investment than Merck. However, Agilent Technologies is 1.55 times more volatile than Merck Company. It trades about 0.08 of its potential returns per unit of risk. Merck Company is currently generating about -0.17 per unit of risk. If you would invest 13,019 in Agilent Technologies on August 26, 2024 and sell it today you would earn a total of 365.00 from holding Agilent Technologies 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 |
Agilent Technologies vs. Merck Company
Performance |
| Timeline |
| Agilent Technologies |
| Merck Company |
Agilent Technologies and Merck Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Agilent Technologies and Merck
The main advantage of trading using opposite Agilent Technologies and Merck positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Agilent Technologies position performs unexpectedly, Merck 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 Merck will offset losses from the drop in Merck's long position.| Agilent Technologies vs. Danaher | Agilent Technologies vs. Illumina | Agilent Technologies vs. IDEXX Laboratories | Agilent Technologies vs. Waters |
| Merck vs. Capricor Therapeutics | Merck vs. Akari Therapeutics PLC | Merck vs. Soleno Therapeutics | Merck vs. Bio Path Holdings |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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