Correlation Between Swiss Leader and Aluflexpack
Can any of the company-specific risk be diversified away by investing in both Swiss Leader and Aluflexpack 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 Swiss Leader and Aluflexpack into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Swiss Leader Price and Aluflexpack AG, you can compare the effects of market volatilities on Swiss Leader and Aluflexpack 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 Swiss Leader with a short position of Aluflexpack. Check out your portfolio center. Please also check ongoing floating volatility patterns of Swiss Leader and Aluflexpack.
Diversification Opportunities for Swiss Leader and Aluflexpack
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between Swiss and Aluflexpack is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding Swiss Leader Price and Aluflexpack AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aluflexpack AG and Swiss Leader 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 Swiss Leader Price are associated (or correlated) with Aluflexpack. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aluflexpack AG has no effect on the direction of Swiss Leader i.e., Swiss Leader and Aluflexpack go up and down completely randomly.
Pair Corralation between Swiss Leader and Aluflexpack
Assuming the 90 days trading horizon Swiss Leader Price is expected to generate 2.51 times more return on investment than Aluflexpack. However, Swiss Leader is 2.51 times more volatile than Aluflexpack AG. It trades about 0.09 of its potential returns per unit of risk. Aluflexpack AG is currently generating about 0.14 per unit of risk. If you would invest 193,459 in Swiss Leader Price on April 25, 2025 and sell it today you would earn a total of 6,738 from holding Swiss Leader Price or generate 3.48% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Swiss Leader Price vs. Aluflexpack AG
Performance |
Timeline |
Swiss Leader and Aluflexpack Volatility Contrast
Predicted Return Density |
Returns |
Swiss Leader Price
Pair trading matchups for Swiss Leader
Aluflexpack AG
Pair trading matchups for Aluflexpack
Pair Trading with Swiss Leader and Aluflexpack
The main advantage of trading using opposite Swiss Leader and Aluflexpack positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Swiss Leader position performs unexpectedly, Aluflexpack 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 Aluflexpack will offset losses from the drop in Aluflexpack's long position.Swiss Leader vs. Zurich Insurance Group | Swiss Leader vs. Logitech International SA | Swiss Leader vs. Metall Zug AG | Swiss Leader vs. Luzerner Kantonalbank AG |
Aluflexpack vs. SoftwareONE Holding AG | Aluflexpack vs. Burckhardt Compression | Aluflexpack vs. Arbonia AG | Aluflexpack vs. Belimo Holding |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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