Correlation Between Vericel Corp and Agilent Technologies
Can any of the company-specific risk be diversified away by investing in both Vericel Corp 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 Vericel Corp and Agilent Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Vericel Corp Ord and Agilent Technologies, you can compare the effects of market volatilities on Vericel Corp 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 Vericel Corp with a short position of Agilent Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vericel Corp and Agilent Technologies.
Diversification Opportunities for Vericel Corp and Agilent Technologies
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Vericel and Agilent is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding Vericel Corp Ord and Agilent Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Agilent Technologies and Vericel Corp 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 Vericel Corp Ord 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 Vericel Corp i.e., Vericel Corp and Agilent Technologies go up and down completely randomly.
Pair Corralation between Vericel Corp and Agilent Technologies
Given the investment horizon of 90 days Vericel Corp Ord is expected to generate 1.77 times more return on investment than Agilent Technologies. However, Vericel Corp is 1.77 times more volatile than Agilent Technologies. It trades about 0.45 of its potential returns per unit of risk. Agilent Technologies is currently generating about -0.08 per unit of risk. If you would invest 4,183 in Vericel Corp Ord on August 23, 2024 and sell it today you would earn a total of 1,543 from holding Vericel Corp Ord or generate 36.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Vericel Corp Ord vs. Agilent Technologies
Performance |
Timeline |
Vericel Corp Ord |
Agilent Technologies |
Vericel Corp and Agilent Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vericel Corp and Agilent Technologies
The main advantage of trading using opposite Vericel Corp and Agilent Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vericel Corp 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.Vericel Corp vs. Kiora Pharmaceuticals | Vericel Corp vs. ZyVersa Therapeutics | Vericel Corp vs. Sonnet Biotherapeutics Holdings | Vericel Corp vs. Zura Bio Limited |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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