Correlation Between Apple and Axcelis Technologies
Can any of the company-specific risk be diversified away by investing in both Apple and Axcelis 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 Apple and Axcelis Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Apple Inc and Axcelis Technologies, you can compare the effects of market volatilities on Apple and Axcelis 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 Apple with a short position of Axcelis Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Apple and Axcelis Technologies.
Diversification Opportunities for Apple and Axcelis Technologies
-0.72 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Apple and Axcelis is -0.72. Overlapping area represents the amount of risk that can be diversified away by holding Apple Inc and Axcelis Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Axcelis Technologies and Apple 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 Apple Inc are associated (or correlated) with Axcelis Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Axcelis Technologies has no effect on the direction of Apple i.e., Apple and Axcelis Technologies go up and down completely randomly.
Pair Corralation between Apple and Axcelis Technologies
Assuming the 90 days trading horizon Apple Inc is expected to generate 0.47 times more return on investment than Axcelis Technologies. However, Apple Inc is 2.12 times less risky than Axcelis Technologies. It trades about 0.17 of its potential returns per unit of risk. Axcelis Technologies is currently generating about -0.12 per unit of risk. If you would invest 20,086 in Apple Inc on September 5, 2024 and sell it today you would earn a total of 2,864 from holding Apple Inc or generate 14.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Apple Inc vs. Axcelis Technologies
Performance |
Timeline |
Apple Inc |
Axcelis Technologies |
Apple and Axcelis Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Apple and Axcelis Technologies
The main advantage of trading using opposite Apple and Axcelis Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Apple position performs unexpectedly, Axcelis 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 Axcelis Technologies will offset losses from the drop in Axcelis Technologies' long position.Apple vs. Choice Hotels International | Apple vs. Playa Hotels Resorts | Apple vs. Summit Hotel Properties | Apple vs. Consolidated Communications Holdings |
Axcelis Technologies vs. PSI Software AG | Axcelis Technologies vs. Gruppo Mutuionline SpA | Axcelis Technologies vs. FORMPIPE SOFTWARE AB | Axcelis Technologies vs. VITEC SOFTWARE GROUP |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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