Correlation Between COMBA TELECOM and Axcelis Technologies
Can any of the company-specific risk be diversified away by investing in both COMBA TELECOM 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 COMBA TELECOM and Axcelis Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between COMBA TELECOM SYST and Axcelis Technologies, you can compare the effects of market volatilities on COMBA TELECOM 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 COMBA TELECOM with a short position of Axcelis Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of COMBA TELECOM and Axcelis Technologies.
Diversification Opportunities for COMBA TELECOM and Axcelis Technologies
0.09 | Correlation Coefficient |
Significant diversification
The 3 months correlation between COMBA and Axcelis is 0.09. Overlapping area represents the amount of risk that can be diversified away by holding COMBA TELECOM SYST and Axcelis Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Axcelis Technologies and COMBA TELECOM 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 COMBA TELECOM SYST 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 COMBA TELECOM i.e., COMBA TELECOM and Axcelis Technologies go up and down completely randomly.
Pair Corralation between COMBA TELECOM and Axcelis Technologies
Assuming the 90 days trading horizon COMBA TELECOM is expected to generate 2.75 times less return on investment than Axcelis Technologies. In addition to that, COMBA TELECOM is 2.42 times more volatile than Axcelis Technologies. It trades about 0.02 of its total potential returns per unit of risk. Axcelis Technologies is currently generating about 0.14 per unit of volatility. If you would invest 6,728 in Axcelis Technologies on October 22, 2024 and sell it today you would earn a total of 278.00 from holding Axcelis Technologies or generate 4.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
COMBA TELECOM SYST vs. Axcelis Technologies
Performance |
Timeline |
COMBA TELECOM SYST |
Axcelis Technologies |
COMBA TELECOM and Axcelis Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with COMBA TELECOM and Axcelis Technologies
The main advantage of trading using opposite COMBA TELECOM and Axcelis Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if COMBA TELECOM 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.COMBA TELECOM vs. Geely Automobile Holdings | COMBA TELECOM vs. OFFICE DEPOT | COMBA TELECOM vs. NURAN WIRELESS INC | COMBA TELECOM vs. GRIFFIN MINING LTD |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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