Correlation Between Schweiter Technologies and Gear4music Plc
Can any of the company-specific risk be diversified away by investing in both Schweiter Technologies and Gear4music Plc 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 Gear4music Plc 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 Gear4music Plc, you can compare the effects of market volatilities on Schweiter Technologies and Gear4music Plc 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 Gear4music Plc. Check out your portfolio center. Please also check ongoing floating volatility patterns of Schweiter Technologies and Gear4music Plc.
Diversification Opportunities for Schweiter Technologies and Gear4music Plc
-0.14 | Correlation Coefficient |
Good diversification
The 3 months correlation between Schweiter and Gear4music is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding Schweiter Technologies AG and Gear4music Plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gear4music Plc 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 Gear4music Plc. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gear4music Plc has no effect on the direction of Schweiter Technologies i.e., Schweiter Technologies and Gear4music Plc go up and down completely randomly.
Pair Corralation between Schweiter Technologies and Gear4music Plc
Assuming the 90 days trading horizon Schweiter Technologies AG is expected to generate 1.26 times more return on investment than Gear4music Plc. However, Schweiter Technologies is 1.26 times more volatile than Gear4music Plc. It trades about 0.01 of its potential returns per unit of risk. Gear4music Plc is currently generating about -0.08 per unit of risk. If you would invest 40,800 in Schweiter Technologies AG on September 1, 2024 and sell it today you would earn a total of 100.00 from holding Schweiter Technologies AG or generate 0.25% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Schweiter Technologies AG vs. Gear4music Plc
Performance |
Timeline |
Schweiter Technologies |
Gear4music Plc |
Schweiter Technologies and Gear4music Plc Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Schweiter Technologies and Gear4music Plc
The main advantage of trading using opposite Schweiter Technologies and Gear4music Plc positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Schweiter Technologies position performs unexpectedly, Gear4music Plc 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 Gear4music Plc will offset losses from the drop in Gear4music Plc's long position.Schweiter Technologies vs. Spirent Communications plc | Schweiter Technologies vs. mobilezone holding AG | Schweiter Technologies vs. MTI Wireless Edge | Schweiter Technologies vs. GoldMining |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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