Correlation Between Schweiter Technologies and St Galler
Can any of the company-specific risk be diversified away by investing in both Schweiter Technologies and St Galler 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 Schweiter Technologies and St Galler into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Schweiter Technologies AG and St Galler Kantonalbank, you can compare the effects of market volatilities on Schweiter Technologies and St Galler 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 Schweiter Technologies with a short position of St Galler. Check out your portfolio center. Please also check ongoing floating volatility patterns of Schweiter Technologies and St Galler.
Diversification Opportunities for Schweiter Technologies and St Galler
-0.21 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Schweiter and SGKN is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding Schweiter Technologies AG and St Galler Kantonalbank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on St Galler Kantonalbank and Schweiter Technologies 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 Schweiter Technologies AG are associated (or correlated) with St Galler. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of St Galler Kantonalbank has no effect on the direction of Schweiter Technologies i.e., Schweiter Technologies and St Galler go up and down completely randomly.
Pair Corralation between Schweiter Technologies and St Galler
Assuming the 90 days trading horizon Schweiter Technologies AG is expected to under-perform the St Galler. In addition to that, Schweiter Technologies is 1.51 times more volatile than St Galler Kantonalbank. It trades about 0.0 of its total potential returns per unit of risk. St Galler Kantonalbank is currently generating about 0.19 per unit of volatility. If you would invest 42,400 in St Galler Kantonalbank on September 28, 2024 and sell it today you would earn a total of 1,250 from holding St Galler Kantonalbank or generate 2.95% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.24% |
Values | Daily Returns |
Schweiter Technologies AG vs. St Galler Kantonalbank
Performance |
Timeline |
Schweiter Technologies |
St Galler Kantonalbank |
Schweiter Technologies and St Galler Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Schweiter Technologies and St Galler
The main advantage of trading using opposite Schweiter Technologies and St Galler positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Schweiter Technologies position performs unexpectedly, St Galler 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 St Galler will offset losses from the drop in St Galler's long position.Schweiter Technologies vs. Comet Holding AG | Schweiter Technologies vs. Bossard Holding AG | Schweiter Technologies vs. VAT Group AG | Schweiter Technologies vs. Bucher Industries 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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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