Correlation Between Fuchs Petrolub and Minerals Technologies
Can any of the company-specific risk be diversified away by investing in both Fuchs Petrolub and Minerals 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 Fuchs Petrolub and Minerals Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fuchs Petrolub SE and Minerals Technologies, you can compare the effects of market volatilities on Fuchs Petrolub and Minerals 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 Fuchs Petrolub with a short position of Minerals Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fuchs Petrolub and Minerals Technologies.
Diversification Opportunities for Fuchs Petrolub and Minerals Technologies
-0.22 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Fuchs and Minerals is -0.22. Overlapping area represents the amount of risk that can be diversified away by holding Fuchs Petrolub SE and Minerals Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Minerals Technologies and Fuchs Petrolub 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 Fuchs Petrolub SE are associated (or correlated) with Minerals Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Minerals Technologies has no effect on the direction of Fuchs Petrolub i.e., Fuchs Petrolub and Minerals Technologies go up and down completely randomly.
Pair Corralation between Fuchs Petrolub and Minerals Technologies
Assuming the 90 days horizon Fuchs Petrolub SE is expected to generate 1.29 times more return on investment than Minerals Technologies. However, Fuchs Petrolub is 1.29 times more volatile than Minerals Technologies. It trades about 0.1 of its potential returns per unit of risk. Minerals Technologies is currently generating about -0.21 per unit of risk. If you would invest 1,114 in Fuchs Petrolub SE on November 29, 2024 and sell it today you would earn a total of 105.00 from holding Fuchs Petrolub SE or generate 9.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.33% |
Values | Daily Returns |
Fuchs Petrolub SE vs. Minerals Technologies
Performance |
Timeline |
Fuchs Petrolub SE |
Minerals Technologies |
Fuchs Petrolub and Minerals Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fuchs Petrolub and Minerals Technologies
The main advantage of trading using opposite Fuchs Petrolub and Minerals Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fuchs Petrolub position performs unexpectedly, Minerals 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 Minerals Technologies will offset losses from the drop in Minerals Technologies' long position.Fuchs Petrolub vs. Covestro ADR | Fuchs Petrolub vs. Fresenius SE Co | Fuchs Petrolub vs. Secom Co Ltd | Fuchs Petrolub vs. Alfa Laval AB |
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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 Stocks Directory module to find actively traded stocks across global markets.
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