Correlation Between BVZ Holding and Orell Fuessli
Can any of the company-specific risk be diversified away by investing in both BVZ Holding and Orell Fuessli 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 BVZ Holding and Orell Fuessli into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BVZ Holding AG and Orell Fuessli Holding, you can compare the effects of market volatilities on BVZ Holding and Orell Fuessli 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 BVZ Holding with a short position of Orell Fuessli. Check out your portfolio center. Please also check ongoing floating volatility patterns of BVZ Holding and Orell Fuessli.
Diversification Opportunities for BVZ Holding and Orell Fuessli
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between BVZ and Orell is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding BVZ Holding AG and Orell Fuessli Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Orell Fuessli Holding and BVZ 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 BVZ Holding AG are associated (or correlated) with Orell Fuessli. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Orell Fuessli Holding has no effect on the direction of BVZ Holding i.e., BVZ Holding and Orell Fuessli go up and down completely randomly.
Pair Corralation between BVZ Holding and Orell Fuessli
Assuming the 90 days trading horizon BVZ Holding AG is expected to generate 1.21 times more return on investment than Orell Fuessli. However, BVZ Holding is 1.21 times more volatile than Orell Fuessli Holding. It trades about 0.06 of its potential returns per unit of risk. Orell Fuessli Holding is currently generating about 0.05 per unit of risk. If you would invest 103,000 in BVZ Holding AG on September 1, 2025 and sell it today you would earn a total of 5,000 from holding BVZ Holding AG or generate 4.85% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 96.97% |
| Values | Daily Returns |
BVZ Holding AG vs. Orell Fuessli Holding
Performance |
| Timeline |
| BVZ Holding AG |
| Orell Fuessli Holding |
BVZ Holding and Orell Fuessli Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with BVZ Holding and Orell Fuessli
The main advantage of trading using opposite BVZ Holding and Orell Fuessli positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BVZ Holding position performs unexpectedly, Orell Fuessli 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 Orell Fuessli will offset losses from the drop in Orell Fuessli's long position.| BVZ Holding vs. Metall Zug AG | BVZ Holding vs. Cicor Technologies | BVZ Holding vs. Schweizerische Nationalbank | BVZ Holding vs. St Galler Kantonalbank |
| Orell Fuessli vs. Cembra Money Bank | Orell Fuessli vs. Liechtensteinische Landesbank AG | Orell Fuessli vs. Basellandschaftliche Kantonalbank | Orell Fuessli vs. Zuger Kantonalbank |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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