Correlation Between Kingboard Chemical and Axcelis Technologies
Can any of the company-specific risk be diversified away by investing in both Kingboard Chemical 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 Kingboard Chemical and Axcelis Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kingboard Chemical Holdings and Axcelis Technologies, you can compare the effects of market volatilities on Kingboard Chemical 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 Kingboard Chemical with a short position of Axcelis Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kingboard Chemical and Axcelis Technologies.
Diversification Opportunities for Kingboard Chemical and Axcelis Technologies
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Kingboard and Axcelis is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Kingboard Chemical Holdings and Axcelis Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Axcelis Technologies and Kingboard Chemical 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 Kingboard Chemical Holdings 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 Kingboard Chemical i.e., Kingboard Chemical and Axcelis Technologies go up and down completely randomly.
Pair Corralation between Kingboard Chemical and Axcelis Technologies
If you would invest 8,229 in Axcelis Technologies on August 29, 2025 and sell it today you would lose (16.00) from holding Axcelis Technologies or give up 0.19% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Flat |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Kingboard Chemical Holdings vs. Axcelis Technologies
Performance |
| Timeline |
| Kingboard Chemical |
| Axcelis Technologies |
Kingboard Chemical and Axcelis Technologies Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Kingboard Chemical and Axcelis Technologies
The main advantage of trading using opposite Kingboard Chemical and Axcelis Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kingboard Chemical 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.| Kingboard Chemical vs. Honeywell International | Kingboard Chemical vs. 3M Company | Kingboard Chemical vs. Mitsubishi Corp | Kingboard Chemical vs. Hitachi |
| Axcelis Technologies vs. Diodes Incorporated | Axcelis Technologies vs. Daqo New Energy | Axcelis Technologies vs. Micron Technology | Axcelis Technologies vs. MagnaChip Semiconductor |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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