Correlation Between FutureFuel Corp and Orion Engineered
Can any of the company-specific risk be diversified away by investing in both FutureFuel Corp and Orion Engineered 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 FutureFuel Corp and Orion Engineered into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FutureFuel Corp and Orion Engineered Carbons, you can compare the effects of market volatilities on FutureFuel Corp and Orion Engineered 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 FutureFuel Corp with a short position of Orion Engineered. Check out your portfolio center. Please also check ongoing floating volatility patterns of FutureFuel Corp and Orion Engineered.
Diversification Opportunities for FutureFuel Corp and Orion Engineered
-0.68 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between FutureFuel and Orion is -0.68. Overlapping area represents the amount of risk that can be diversified away by holding FutureFuel Corp and Orion Engineered Carbons in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Orion Engineered Carbons and FutureFuel Corp 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 FutureFuel Corp are associated (or correlated) with Orion Engineered. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Orion Engineered Carbons has no effect on the direction of FutureFuel Corp i.e., FutureFuel Corp and Orion Engineered go up and down completely randomly.
Pair Corralation between FutureFuel Corp and Orion Engineered
Allowing for the 90-day total investment horizon FutureFuel Corp is expected to generate 1.03 times less return on investment than Orion Engineered. In addition to that, FutureFuel Corp is 1.07 times more volatile than Orion Engineered Carbons. It trades about 0.01 of its total potential returns per unit of risk. Orion Engineered Carbons is currently generating about 0.01 per unit of volatility. If you would invest 1,758 in Orion Engineered Carbons on September 14, 2024 and sell it today you would earn a total of 2.00 from holding Orion Engineered Carbons or generate 0.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
FutureFuel Corp vs. Orion Engineered Carbons
Performance |
Timeline |
FutureFuel Corp |
Orion Engineered Carbons |
FutureFuel Corp and Orion Engineered Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FutureFuel Corp and Orion Engineered
The main advantage of trading using opposite FutureFuel Corp and Orion Engineered positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FutureFuel Corp position performs unexpectedly, Orion Engineered 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 Orion Engineered will offset losses from the drop in Orion Engineered's long position.FutureFuel Corp vs. Oil Dri | FutureFuel Corp vs. Quaker Chemical | FutureFuel Corp vs. Ecovyst | FutureFuel Corp vs. Minerals Technologies |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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