Correlation Between Nova and Amtech Systems
Can any of the company-specific risk be diversified away by investing in both Nova and Amtech Systems 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 Nova and Amtech Systems into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nova and Amtech Systems, you can compare the effects of market volatilities on Nova and Amtech Systems 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 Nova with a short position of Amtech Systems. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nova and Amtech Systems.
Diversification Opportunities for Nova and Amtech Systems
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Nova and Amtech is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding Nova and Amtech Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Amtech Systems and Nova 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 Nova are associated (or correlated) with Amtech Systems. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Amtech Systems has no effect on the direction of Nova i.e., Nova and Amtech Systems go up and down completely randomly.
Pair Corralation between Nova and Amtech Systems
Given the investment horizon of 90 days Nova is expected to generate 0.74 times more return on investment than Amtech Systems. However, Nova is 1.35 times less risky than Amtech Systems. It trades about 0.06 of its potential returns per unit of risk. Amtech Systems is currently generating about -0.02 per unit of risk. If you would invest 11,900 in Nova on September 2, 2024 and sell it today you would earn a total of 6,476 from holding Nova or generate 54.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Nova vs. Amtech Systems
Performance |
Timeline |
Nova |
Amtech Systems |
Nova and Amtech Systems Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nova and Amtech Systems
The main advantage of trading using opposite Nova and Amtech Systems positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nova position performs unexpectedly, Amtech Systems 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 Amtech Systems will offset losses from the drop in Amtech Systems' long position.The idea behind Nova and Amtech Systems pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Amtech Systems vs. Ultra Clean Holdings | Amtech Systems vs. Veeco Instruments | Amtech Systems vs. Cohu Inc | Amtech Systems vs. Onto Innovation |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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