Correlation Between Frequentis and Fuchs Petrolub
Can any of the company-specific risk be diversified away by investing in both Frequentis and Fuchs Petrolub 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 Frequentis and Fuchs Petrolub into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Frequentis AG and Fuchs Petrolub SE, you can compare the effects of market volatilities on Frequentis and Fuchs Petrolub 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 Frequentis with a short position of Fuchs Petrolub. Check out your portfolio center. Please also check ongoing floating volatility patterns of Frequentis and Fuchs Petrolub.
Diversification Opportunities for Frequentis and Fuchs Petrolub
-0.75 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Frequentis and Fuchs is -0.75. Overlapping area represents the amount of risk that can be diversified away by holding Frequentis AG and Fuchs Petrolub SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fuchs Petrolub SE and Frequentis 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 Frequentis AG are associated (or correlated) with Fuchs Petrolub. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fuchs Petrolub SE has no effect on the direction of Frequentis i.e., Frequentis and Fuchs Petrolub go up and down completely randomly.
Pair Corralation between Frequentis and Fuchs Petrolub
Assuming the 90 days trading horizon Frequentis AG is expected to under-perform the Fuchs Petrolub. In addition to that, Frequentis is 1.28 times more volatile than Fuchs Petrolub SE. It trades about -0.04 of its total potential returns per unit of risk. Fuchs Petrolub SE is currently generating about 0.1 per unit of volatility. If you would invest 3,878 in Fuchs Petrolub SE on September 5, 2024 and sell it today you would earn a total of 334.00 from holding Fuchs Petrolub SE or generate 8.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Frequentis AG vs. Fuchs Petrolub SE
Performance |
Timeline |
Frequentis AG |
Fuchs Petrolub SE |
Frequentis and Fuchs Petrolub Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Frequentis and Fuchs Petrolub
The main advantage of trading using opposite Frequentis and Fuchs Petrolub positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Frequentis position performs unexpectedly, Fuchs Petrolub 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 Fuchs Petrolub will offset losses from the drop in Fuchs Petrolub's long position.Frequentis vs. AT S Austria | Frequentis vs. Lenzing Aktiengesellschaft | Frequentis vs. Facc AG | Frequentis vs. EVN AG |
Fuchs Petrolub vs. RATH Aktiengesellschaft | Fuchs Petrolub vs. Semperit Aktiengesellschaft Holding | Fuchs Petrolub vs. Telekom Austria AG | Fuchs Petrolub vs. Oesterr Post 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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