Correlation Between Griffon and Simpson Manufacturing
Can any of the company-specific risk be diversified away by investing in both Griffon and Simpson Manufacturing 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 Simpson Manufacturing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Griffon and Simpson Manufacturing, you can compare the effects of market volatilities on Griffon and Simpson Manufacturing 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 Simpson Manufacturing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Griffon and Simpson Manufacturing.
Diversification Opportunities for Griffon and Simpson Manufacturing
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Griffon and Simpson is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Griffon and Simpson Manufacturing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Simpson Manufacturing 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 Simpson Manufacturing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Simpson Manufacturing has no effect on the direction of Griffon i.e., Griffon and Simpson Manufacturing go up and down completely randomly.
Pair Corralation between Griffon and Simpson Manufacturing
Considering the 90-day investment horizon Griffon is expected to generate 1.32 times more return on investment than Simpson Manufacturing. However, Griffon is 1.32 times more volatile than Simpson Manufacturing. It trades about 0.02 of its potential returns per unit of risk. Simpson Manufacturing is currently generating about -0.03 per unit of risk. If you would invest 7,086 in Griffon on December 28, 2024 and sell it today you would earn a total of 110.00 from holding Griffon or generate 1.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Griffon vs. Simpson Manufacturing
Performance |
Timeline |
Griffon |
Simpson Manufacturing |
Griffon and Simpson Manufacturing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Griffon and Simpson Manufacturing
The main advantage of trading using opposite Griffon and Simpson Manufacturing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Griffon position performs unexpectedly, Simpson Manufacturing 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 Simpson Manufacturing will offset losses from the drop in Simpson Manufacturing's long position.Griffon vs. Steel Partners Holdings | Griffon vs. Brookfield Business Partners | Griffon vs. Tejon Ranch Co | Griffon vs. Compass Diversified Holdings |
Simpson Manufacturing vs. West Fraser Timber | Simpson Manufacturing vs. Interfor | Simpson Manufacturing vs. Ufp Industries | Simpson Manufacturing vs. Canfor |
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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