Correlation Between Bucher Industries and Helvetia Holding
Can any of the company-specific risk be diversified away by investing in both Bucher Industries and Helvetia 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 Bucher Industries and Helvetia Holding into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bucher Industries AG and Helvetia Holding AG, you can compare the effects of market volatilities on Bucher Industries and Helvetia 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 Bucher Industries with a short position of Helvetia Holding. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bucher Industries and Helvetia Holding.
Diversification Opportunities for Bucher Industries and Helvetia Holding
-0.29 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bucher and Helvetia is -0.29. Overlapping area represents the amount of risk that can be diversified away by holding Bucher Industries AG and Helvetia Holding AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Helvetia Holding and Bucher Industries 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 Bucher Industries AG are associated (or correlated) with Helvetia Holding. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Helvetia Holding has no effect on the direction of Bucher Industries i.e., Bucher Industries and Helvetia Holding go up and down completely randomly.
Pair Corralation between Bucher Industries and Helvetia Holding
Assuming the 90 days trading horizon Bucher Industries AG is expected to under-perform the Helvetia Holding. In addition to that, Bucher Industries is 1.11 times more volatile than Helvetia Holding AG. It trades about -0.07 of its total potential returns per unit of risk. Helvetia Holding AG is currently generating about 0.1 per unit of volatility. If you would invest 13,710 in Helvetia Holding AG on September 14, 2024 and sell it today you would earn a total of 930.00 from holding Helvetia Holding AG or generate 6.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Bucher Industries AG vs. Helvetia Holding AG
Performance |
Timeline |
Bucher Industries |
Helvetia Holding |
Bucher Industries and Helvetia Holding Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bucher Industries and Helvetia Holding
The main advantage of trading using opposite Bucher Industries and Helvetia Holding positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bucher Industries position performs unexpectedly, Helvetia 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 Helvetia Holding will offset losses from the drop in Helvetia Holding's long position.Bucher Industries vs. Sulzer AG | Bucher Industries vs. Helvetia Holding AG | Bucher Industries vs. Swiss Life Holding | Bucher Industries vs. Adecco Group AG |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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