Correlation Between Silgan Holdings and Interface
Can any of the company-specific risk be diversified away by investing in both Silgan Holdings and Interface 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 Silgan Holdings and Interface into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Silgan Holdings and Interface, you can compare the effects of market volatilities on Silgan Holdings and Interface 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 Silgan Holdings with a short position of Interface. Check out your portfolio center. Please also check ongoing floating volatility patterns of Silgan Holdings and Interface.
Diversification Opportunities for Silgan Holdings and Interface
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Silgan and Interface is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Silgan Holdings and Interface in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Interface and Silgan Holdings 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 Silgan Holdings are associated (or correlated) with Interface. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Interface has no effect on the direction of Silgan Holdings i.e., Silgan Holdings and Interface go up and down completely randomly.
Pair Corralation between Silgan Holdings and Interface
Given the investment horizon of 90 days Silgan Holdings is expected to generate 1.6 times less return on investment than Interface. But when comparing it to its historical volatility, Silgan Holdings is 1.51 times less risky than Interface. It trades about 0.11 of its potential returns per unit of risk. Interface is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 1,879 in Interface on April 30, 2025 and sell it today you would earn a total of 233.00 from holding Interface or generate 12.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Silgan Holdings vs. Interface
Performance |
Timeline |
Silgan Holdings |
Interface |
Silgan Holdings and Interface Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Silgan Holdings and Interface
The main advantage of trading using opposite Silgan Holdings and Interface positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Silgan Holdings position performs unexpectedly, Interface 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 Interface will offset losses from the drop in Interface's long position.Silgan Holdings vs. Greif Bros | Silgan Holdings vs. Sonoco Products | Silgan Holdings vs. Reynolds Consumer Products | Silgan Holdings vs. Myers Industries |
Interface vs. Gibraltar Industries | Interface vs. Janus International Group | Interface vs. Quanex Building Products | Interface vs. Jeld Wen Holding |
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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