Correlation Between St Galler and Schweiter Technologies
Can any of the company-specific risk be diversified away by investing in both St Galler and Schweiter Technologies 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 St Galler and Schweiter Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between St Galler Kantonalbank and Schweiter Technologies AG, you can compare the effects of market volatilities on St Galler and Schweiter Technologies 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 St Galler with a short position of Schweiter Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of St Galler and Schweiter Technologies.
Diversification Opportunities for St Galler and Schweiter Technologies
-0.21 | Correlation Coefficient |
Very good diversification
The 3 months correlation between SGKN and Schweiter is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding St Galler Kantonalbank and Schweiter Technologies AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Schweiter Technologies and St Galler 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 St Galler Kantonalbank are associated (or correlated) with Schweiter Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Schweiter Technologies has no effect on the direction of St Galler i.e., St Galler and Schweiter Technologies go up and down completely randomly.
Pair Corralation between St Galler and Schweiter Technologies
Assuming the 90 days trading horizon St Galler Kantonalbank is expected to generate 0.66 times more return on investment than Schweiter Technologies. However, St Galler Kantonalbank is 1.51 times less risky than Schweiter Technologies. It trades about 0.19 of its potential returns per unit of risk. Schweiter Technologies AG is currently generating about 0.0 per unit of risk. 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 |
St Galler Kantonalbank vs. Schweiter Technologies AG
Performance |
Timeline |
St Galler Kantonalbank |
Schweiter Technologies |
St Galler and Schweiter Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with St Galler and Schweiter Technologies
The main advantage of trading using opposite St Galler and Schweiter Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if St Galler position performs unexpectedly, Schweiter Technologies 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 Schweiter Technologies will offset losses from the drop in Schweiter Technologies' long position.St Galler vs. Banque Cantonale | St Galler vs. Berner Kantonalbank AG | St Galler vs. Valiant Holding AG | St Galler vs. VP Bank 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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
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