Correlation Between Harrow Health and Agilent Technologies
Can any of the company-specific risk be diversified away by investing in both Harrow Health 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 Harrow Health and Agilent Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Harrow Health 8625 and Agilent Technologies, you can compare the effects of market volatilities on Harrow Health 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 Harrow Health with a short position of Agilent Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Harrow Health and Agilent Technologies.
Diversification Opportunities for Harrow Health and Agilent Technologies
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Harrow and Agilent is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding Harrow Health 8625 and Agilent Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Agilent Technologies and Harrow Health 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 Harrow Health 8625 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 Harrow Health i.e., Harrow Health and Agilent Technologies go up and down completely randomly.
Pair Corralation between Harrow Health and Agilent Technologies
Assuming the 90 days horizon Harrow Health 8625 is expected to generate 0.35 times more return on investment than Agilent Technologies. However, Harrow Health 8625 is 2.89 times less risky than Agilent Technologies. It trades about 0.03 of its potential returns per unit of risk. Agilent Technologies is currently generating about -0.05 per unit of risk. If you would invest 2,535 in Harrow Health 8625 on October 6, 2024 and sell it today you would earn a total of 5.00 from holding Harrow Health 8625 or generate 0.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Harrow Health 8625 vs. Agilent Technologies
Performance |
Timeline |
Harrow Health 8625 |
Agilent Technologies |
Harrow Health and Agilent Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Harrow Health and Agilent Technologies
The main advantage of trading using opposite Harrow Health and Agilent Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Harrow Health 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.Harrow Health vs. Babcock Wilcox Enterprises, | Harrow Health vs. Babcock Wilcox Enterprises | Harrow Health vs. B Riley Financial | Harrow Health vs. SiriusPoint |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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