Correlation Between Bachem Holding and Siegfried Holding
Can any of the company-specific risk be diversified away by investing in both Bachem Holding and Siegfried 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 Bachem Holding and Siegfried Holding into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bachem Holding AG and Siegfried Holding, you can compare the effects of market volatilities on Bachem Holding and Siegfried 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 Bachem Holding with a short position of Siegfried Holding. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bachem Holding and Siegfried Holding.
Diversification Opportunities for Bachem Holding and Siegfried Holding
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Bachem and Siegfried is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Bachem Holding AG and Siegfried Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Siegfried Holding and Bachem 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 Bachem Holding AG are associated (or correlated) with Siegfried Holding. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Siegfried Holding has no effect on the direction of Bachem Holding i.e., Bachem Holding and Siegfried Holding go up and down completely randomly.
Pair Corralation between Bachem Holding and Siegfried Holding
Assuming the 90 days trading horizon Bachem Holding AG is expected to under-perform the Siegfried Holding. But the stock apears to be less risky and, when comparing its historical volatility, Bachem Holding AG is 1.02 times less risky than Siegfried Holding. The stock trades about -0.15 of its potential returns per unit of risk. The Siegfried Holding is currently generating about -0.12 of returns per unit of risk over similar time horizon. If you would invest 110,600 in Siegfried Holding on November 28, 2024 and sell it today you would lose (13,200) from holding Siegfried Holding or give up 11.93% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.31% |
Values | Daily Returns |
Bachem Holding AG vs. Siegfried Holding
Performance |
Timeline |
Bachem Holding AG |
Siegfried Holding |
Bachem Holding and Siegfried Holding Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bachem Holding and Siegfried Holding
The main advantage of trading using opposite Bachem Holding and Siegfried Holding positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bachem Holding position performs unexpectedly, Siegfried 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 Siegfried Holding will offset losses from the drop in Siegfried Holding's long position.Bachem Holding vs. Siegfried Holding | Bachem Holding vs. VAT Group AG | Bachem Holding vs. Lonza Group AG | Bachem Holding vs. Straumann Holding AG |
Siegfried Holding vs. Bachem Holding AG | Siegfried Holding vs. VAT Group AG | Siegfried Holding vs. Tecan Group AG | Siegfried Holding vs. Straumann Holding 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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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