Correlation Between Axcelis Technologies and Applied Materials
Can any of the company-specific risk be diversified away by investing in both Axcelis Technologies and Applied Materials 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 Axcelis Technologies and Applied Materials into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Axcelis Technologies and Applied Materials, you can compare the effects of market volatilities on Axcelis Technologies and Applied Materials 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 Axcelis Technologies with a short position of Applied Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of Axcelis Technologies and Applied Materials.
Diversification Opportunities for Axcelis Technologies and Applied Materials
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Axcelis and Applied is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding Axcelis Technologies and Applied Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Applied Materials and Axcelis 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 Axcelis Technologies are associated (or correlated) with Applied Materials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Applied Materials has no effect on the direction of Axcelis Technologies i.e., Axcelis Technologies and Applied Materials go up and down completely randomly.
Pair Corralation between Axcelis Technologies and Applied Materials
Given the investment horizon of 90 days Axcelis Technologies is expected to under-perform the Applied Materials. In addition to that, Axcelis Technologies is 1.19 times more volatile than Applied Materials. It trades about -0.11 of its total potential returns per unit of risk. Applied Materials is currently generating about -0.05 per unit of volatility. If you would invest 17,163 in Applied Materials on December 5, 2024 and sell it today you would lose (1,631) from holding Applied Materials or give up 9.5% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Axcelis Technologies vs. Applied Materials
Performance |
Timeline |
Axcelis Technologies |
Applied Materials |
Axcelis Technologies and Applied Materials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Axcelis Technologies and Applied Materials
The main advantage of trading using opposite Axcelis Technologies and Applied Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Axcelis Technologies position performs unexpectedly, Applied Materials 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 Applied Materials will offset losses from the drop in Applied Materials' long position.Axcelis Technologies vs. inTest | Axcelis Technologies vs. Lam Research Corp | Axcelis Technologies vs. Photronics | Axcelis Technologies vs. indie Semiconductor |
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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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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