Correlation Between Komax Holding and Comet Holding
Can any of the company-specific risk be diversified away by investing in both Komax Holding and Comet Holding 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 Komax Holding and Comet Holding into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Komax Holding AG and Comet Holding AG, you can compare the effects of market volatilities on Komax Holding and Comet Holding 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 Komax Holding with a short position of Comet Holding. Check out your portfolio center. Please also check ongoing floating volatility patterns of Komax Holding and Comet Holding.
Diversification Opportunities for Komax Holding and Comet Holding
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between Komax and Comet is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding Komax Holding AG and Comet Holding AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Comet Holding AG and Komax Holding 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 Komax Holding AG are associated (or correlated) with Comet Holding. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Comet Holding AG has no effect on the direction of Komax Holding i.e., Komax Holding and Comet Holding go up and down completely randomly.
Pair Corralation between Komax Holding and Comet Holding
Assuming the 90 days trading horizon Komax Holding is expected to generate 3.83 times less return on investment than Comet Holding. In addition to that, Komax Holding is 1.18 times more volatile than Comet Holding AG. It trades about 0.06 of its total potential returns per unit of risk. Comet Holding AG is currently generating about 0.27 per unit of volatility. If you would invest 21,160 in Comet Holding AG on April 23, 2025 and sell it today you would earn a total of 7,640 from holding Comet Holding AG or generate 36.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.39% |
Values | Daily Returns |
Komax Holding AG vs. Comet Holding AG
Performance |
Timeline |
Komax Holding AG |
Comet Holding AG |
Komax Holding and Comet Holding Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Komax Holding and Comet Holding
The main advantage of trading using opposite Komax Holding and Comet Holding positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Komax Holding position performs unexpectedly, Comet Holding 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 Comet Holding will offset losses from the drop in Comet Holding's long position.Komax Holding vs. Comet Holding AG | Komax Holding vs. Bossard Holding AG | Komax Holding vs. VAT Group AG | Komax Holding vs. Bucher Industries AG |
Comet Holding vs. VAT Group AG | Comet Holding vs. Bachem Holding AG | Comet Holding vs. Inficon Holding | Comet Holding vs. Tecan Group AG |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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