Correlation Between Griffon and Minerals Technologies
Can any of the company-specific risk be diversified away by investing in both Griffon 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 Griffon and Minerals Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Griffon and Minerals Technologies, you can compare the effects of market volatilities on Griffon 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 Griffon with a short position of Minerals Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Griffon and Minerals Technologies.
Diversification Opportunities for Griffon and Minerals Technologies
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Griffon and Minerals is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Griffon and Minerals Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Minerals Technologies and Griffon 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 Griffon 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 Griffon i.e., Griffon and Minerals Technologies go up and down completely randomly.
Pair Corralation between Griffon and Minerals Technologies
Considering the 90-day investment horizon Griffon is expected to generate 1.73 times more return on investment than Minerals Technologies. However, Griffon is 1.73 times more volatile than Minerals Technologies. It trades about 0.07 of its potential returns per unit of risk. Minerals Technologies is currently generating about -0.02 per unit of risk. If you would invest 6,724 in Griffon on August 29, 2024 and sell it today you would earn a total of 1,627 from holding Griffon or generate 24.2% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Griffon vs. Minerals Technologies
Performance |
| Timeline |
| Griffon |
| Minerals Technologies |
Griffon and Minerals Technologies Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Griffon and Minerals Technologies
The main advantage of trading using opposite Griffon and Minerals Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Griffon 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.| Griffon vs. Steel Partners Holdings | Griffon vs. Brookfield Business Partners | Griffon vs. Tejon Ranch Co | Griffon vs. Compass Diversified Holdings |
| Minerals Technologies vs. Direxion Daily FTSE | Minerals Technologies vs. Collegium Pharmaceutical | Minerals Technologies vs. KKR Co LP | Minerals Technologies vs. iShares Dividend and |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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