Correlation Between Amtech Systems and Credo Technology
Can any of the company-specific risk be diversified away by investing in both Amtech Systems and Credo Technology 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 Amtech Systems and Credo Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Amtech Systems and Credo Technology Group, you can compare the effects of market volatilities on Amtech Systems and Credo Technology 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 Amtech Systems with a short position of Credo Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amtech Systems and Credo Technology.
Diversification Opportunities for Amtech Systems and Credo Technology
-0.69 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Amtech and Credo is -0.69. Overlapping area represents the amount of risk that can be diversified away by holding Amtech Systems and Credo Technology Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Credo Technology and Amtech Systems 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 Amtech Systems are associated (or correlated) with Credo Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Credo Technology has no effect on the direction of Amtech Systems i.e., Amtech Systems and Credo Technology go up and down completely randomly.
Pair Corralation between Amtech Systems and Credo Technology
Given the investment horizon of 90 days Amtech Systems is expected to generate 25.43 times less return on investment than Credo Technology. But when comparing it to its historical volatility, Amtech Systems is 1.66 times less risky than Credo Technology. It trades about 0.02 of its potential returns per unit of risk. Credo Technology Group is currently generating about 0.25 of returns per unit of risk over similar time horizon. If you would invest 3,080 in Credo Technology Group on August 30, 2024 and sell it today you would earn a total of 1,491 from holding Credo Technology Group or generate 48.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 97.73% |
Values | Daily Returns |
Amtech Systems vs. Credo Technology Group
Performance |
Timeline |
Amtech Systems |
Credo Technology |
Amtech Systems and Credo Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Amtech Systems and Credo Technology
The main advantage of trading using opposite Amtech Systems and Credo Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amtech Systems position performs unexpectedly, Credo Technology 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 Credo Technology will offset losses from the drop in Credo Technology's long position.Amtech Systems vs. Ultra Clean Holdings | Amtech Systems vs. Veeco Instruments | Amtech Systems vs. Cohu Inc | Amtech Systems vs. Onto Innovation |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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