Correlation Between Agilent Technologies and Harrow Health
Can any of the company-specific risk be diversified away by investing in both Agilent Technologies and Harrow Health 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 Harrow Health into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Agilent Technologies and Harrow Health 8625, you can compare the effects of market volatilities on Agilent Technologies and Harrow Health 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 Harrow Health. Check out your portfolio center. Please also check ongoing floating volatility patterns of Agilent Technologies and Harrow Health.
Diversification Opportunities for Agilent Technologies and Harrow Health
-0.18 | Correlation Coefficient |
Good diversification
The 3 months correlation between Agilent and Harrow is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding Agilent Technologies and Harrow Health 8625 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Harrow Health 8625 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 Harrow Health. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Harrow Health 8625 has no effect on the direction of Agilent Technologies i.e., Agilent Technologies and Harrow Health go up and down completely randomly.
Pair Corralation between Agilent Technologies and Harrow Health
Taking into account the 90-day investment horizon Agilent Technologies is expected to under-perform the Harrow Health. In addition to that, Agilent Technologies is 5.86 times more volatile than Harrow Health 8625. It trades about -0.11 of its total potential returns per unit of risk. Harrow Health 8625 is currently generating about 0.14 per unit of volatility. If you would invest 2,471 in Harrow Health 8625 on December 28, 2024 and sell it today you would earn a total of 60.00 from holding Harrow Health 8625 or generate 2.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Agilent Technologies vs. Harrow Health 8625
Performance |
Timeline |
Agilent Technologies |
Harrow Health 8625 |
Agilent Technologies and Harrow Health Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Agilent Technologies and Harrow Health
The main advantage of trading using opposite Agilent Technologies and Harrow Health positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Agilent Technologies position performs unexpectedly, Harrow Health 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 Harrow Health will offset losses from the drop in Harrow Health's long position.Agilent Technologies vs. Danaher | Agilent Technologies vs. Illumina | Agilent Technologies vs. IDEXX Laboratories | Agilent Technologies vs. Waters |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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