Correlation Between Applied Materials, and Agilent Technologies
Can any of the company-specific risk be diversified away by investing in both Applied Materials, 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 Applied Materials, and Agilent Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Applied Materials, and Agilent Technologies, you can compare the effects of market volatilities on Applied Materials, 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 Applied Materials, with a short position of Agilent Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Applied Materials, and Agilent Technologies.
Diversification Opportunities for Applied Materials, and Agilent Technologies
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Applied and Agilent is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Applied Materials, and Agilent Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Agilent Technologies and Applied Materials, 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 Applied Materials, 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 Applied Materials, i.e., Applied Materials, and Agilent Technologies go up and down completely randomly.
Pair Corralation between Applied Materials, and Agilent Technologies
Assuming the 90 days trading horizon Applied Materials, is expected to generate 1.86 times more return on investment than Agilent Technologies. However, Applied Materials, is 1.86 times more volatile than Agilent Technologies. It trades about 0.15 of its potential returns per unit of risk. Agilent Technologies is currently generating about 0.15 per unit of risk. If you would invest 8,463 in Applied Materials, on April 24, 2025 and sell it today you would earn a total of 1,976 from holding Applied Materials, or generate 23.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Applied Materials, vs. Agilent Technologies
Performance |
Timeline |
Applied Materials, |
Agilent Technologies |
Applied Materials, and Agilent Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Applied Materials, and Agilent Technologies
The main advantage of trading using opposite Applied Materials, and Agilent Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Applied Materials, 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.Applied Materials, vs. Tyson Foods | Applied Materials, vs. Warner Music Group | Applied Materials, vs. Truist Financial | Applied Materials, vs. Citizens Financial Group, |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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