Correlation Between Joint Stock and Axcelis Technologies
Can any of the company-specific risk be diversified away by investing in both Joint Stock 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 Joint Stock and Axcelis Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Joint Stock and Axcelis Technologies, you can compare the effects of market volatilities on Joint Stock 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 Joint Stock with a short position of Axcelis Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Joint Stock and Axcelis Technologies.
Diversification Opportunities for Joint Stock and Axcelis Technologies
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Joint and Axcelis is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding Joint Stock and Axcelis Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Axcelis Technologies and Joint Stock 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 Joint Stock 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 Joint Stock i.e., Joint Stock and Axcelis Technologies go up and down completely randomly.
Pair Corralation between Joint Stock and Axcelis Technologies
Given the investment horizon of 90 days Joint Stock is expected to generate 359.48 times less return on investment than Axcelis Technologies. But when comparing it to its historical volatility, Joint Stock is 1.54 times less risky than Axcelis Technologies. It trades about 0.0 of its potential returns per unit of risk. Axcelis Technologies is currently generating about 0.25 of returns per unit of risk over similar time horizon. If you would invest 4,890 in Axcelis Technologies on April 24, 2025 and sell it today you would earn a total of 2,635 from holding Axcelis Technologies or generate 53.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Joint Stock vs. Axcelis Technologies
Performance |
Timeline |
Joint Stock |
Axcelis Technologies |
Joint Stock and Axcelis Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Joint Stock and Axcelis Technologies
The main advantage of trading using opposite Joint Stock and Axcelis Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Joint Stock 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.Joint Stock vs. Cellebrite DI | Joint Stock vs. Corpay Inc | Joint Stock vs. Dropbox | Joint Stock vs. Euronet Worldwide |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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