Correlation Between Airesis SA and Interroll Holding
Can any of the company-specific risk be diversified away by investing in both Airesis SA and Interroll 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 Airesis SA and Interroll Holding into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Airesis SA and Interroll Holding AG, you can compare the effects of market volatilities on Airesis SA and Interroll 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 Airesis SA with a short position of Interroll Holding. Check out your portfolio center. Please also check ongoing floating volatility patterns of Airesis SA and Interroll Holding.
Diversification Opportunities for Airesis SA and Interroll Holding
-0.72 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Airesis and Interroll is -0.72. Overlapping area represents the amount of risk that can be diversified away by holding Airesis SA and Interroll Holding AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Interroll Holding and Airesis SA 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 Airesis SA are associated (or correlated) with Interroll Holding. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Interroll Holding has no effect on the direction of Airesis SA i.e., Airesis SA and Interroll Holding go up and down completely randomly.
Pair Corralation between Airesis SA and Interroll Holding
Assuming the 90 days trading horizon Airesis SA is expected to under-perform the Interroll Holding. In addition to that, Airesis SA is 5.65 times more volatile than Interroll Holding AG. It trades about -0.06 of its total potential returns per unit of risk. Interroll Holding AG is currently generating about 0.25 per unit of volatility. If you would invest 177,100 in Interroll Holding AG on April 30, 2025 and sell it today you would earn a total of 69,900 from holding Interroll Holding AG or generate 39.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 93.44% |
Values | Daily Returns |
Airesis SA vs. Interroll Holding AG
Performance |
Timeline |
Airesis SA |
Interroll Holding |
Airesis SA and Interroll Holding Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Airesis SA and Interroll Holding
The main advantage of trading using opposite Airesis SA and Interroll Holding positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Airesis SA position performs unexpectedly, Interroll 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 Interroll Holding will offset losses from the drop in Interroll Holding's long position.Airesis SA vs. Ascom Holding AG | Airesis SA vs. Bellevue Group AG | Airesis SA vs. Cicor Technologies | Airesis SA vs. Adval Tech Holding |
Interroll Holding vs. Belimo Holding | Interroll Holding vs. Bachem Holding AG | Interroll Holding vs. VAT Group AG | Interroll Holding vs. Kardex |
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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