Correlation Between La Franaise and Agilent Technologies
Can any of the company-specific risk be diversified away by investing in both La Franaise 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 La Franaise and Agilent Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between La Franaise des and Agilent Technologies, you can compare the effects of market volatilities on La Franaise 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 La Franaise with a short position of Agilent Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of La Franaise and Agilent Technologies.
Diversification Opportunities for La Franaise and Agilent Technologies
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between 1WE and Agilent is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding La Franaise des and Agilent Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Agilent Technologies and La Franaise 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 La Franaise des 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 La Franaise i.e., La Franaise and Agilent Technologies go up and down completely randomly.
Pair Corralation between La Franaise and Agilent Technologies
Assuming the 90 days horizon La Franaise is expected to generate 2.27 times less return on investment than Agilent Technologies. But when comparing it to its historical volatility, La Franaise des is 1.65 times less risky than Agilent Technologies. It trades about 0.05 of its potential returns per unit of risk. Agilent Technologies is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 9,101 in Agilent Technologies on April 23, 2025 and sell it today you would earn a total of 687.00 from holding Agilent Technologies or generate 7.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
La Franaise des vs. Agilent Technologies
Performance |
Timeline |
La Franaise des |
Agilent Technologies |
La Franaise and Agilent Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with La Franaise and Agilent Technologies
The main advantage of trading using opposite La Franaise and Agilent Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if La Franaise 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.La Franaise vs. Addus HomeCare | La Franaise vs. Elmos Semiconductor SE | La Franaise vs. CVW CLEANTECH INC | La Franaise vs. Cleanaway Waste Management |
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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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
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