Correlation Between AXT and Aehr Test
Can any of the company-specific risk be diversified away by investing in both AXT and Aehr Test 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 AXT and Aehr Test into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AXT Inc and Aehr Test Systems, you can compare the effects of market volatilities on AXT and Aehr Test 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 AXT with a short position of Aehr Test. Check out your portfolio center. Please also check ongoing floating volatility patterns of AXT and Aehr Test.
Diversification Opportunities for AXT and Aehr Test
Poor diversification
The 3 months correlation between AXT and Aehr is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding AXT Inc and Aehr Test Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aehr Test Systems and AXT 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 AXT Inc are associated (or correlated) with Aehr Test. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aehr Test Systems has no effect on the direction of AXT i.e., AXT and Aehr Test go up and down completely randomly.
Pair Corralation between AXT and Aehr Test
Given the investment horizon of 90 days AXT Inc is expected to under-perform the Aehr Test. But the stock apears to be less risky and, when comparing its historical volatility, AXT Inc is 1.19 times less risky than Aehr Test. The stock trades about -0.05 of its potential returns per unit of risk. The Aehr Test Systems is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 1,035 in Aehr Test Systems on September 22, 2024 and sell it today you would earn a total of 390.00 from holding Aehr Test Systems or generate 37.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
AXT Inc vs. Aehr Test Systems
Performance |
Timeline |
AXT Inc |
Aehr Test Systems |
AXT and Aehr Test Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AXT and Aehr Test
The main advantage of trading using opposite AXT and Aehr Test positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AXT position performs unexpectedly, Aehr Test 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 Aehr Test will offset losses from the drop in Aehr Test's long position.The idea behind AXT Inc and Aehr Test 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.Aehr Test vs. Photronics | Aehr Test vs. Lam Research Corp | Aehr Test vs. KLA Tencor | Aehr Test vs. Kulicke and Soffa |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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