Correlation Between Avery Dennison and Graphic Packaging
Can any of the company-specific risk be diversified away by investing in both Avery Dennison and Graphic Packaging 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 Avery Dennison and Graphic Packaging into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Avery Dennison Corp and Graphic Packaging Holding, you can compare the effects of market volatilities on Avery Dennison and Graphic Packaging 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 Avery Dennison with a short position of Graphic Packaging. Check out your portfolio center. Please also check ongoing floating volatility patterns of Avery Dennison and Graphic Packaging.
Diversification Opportunities for Avery Dennison and Graphic Packaging
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Avery and Graphic is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Avery Dennison Corp and Graphic Packaging Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Graphic Packaging Holding and Avery Dennison 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 Avery Dennison Corp are associated (or correlated) with Graphic Packaging. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Graphic Packaging Holding has no effect on the direction of Avery Dennison i.e., Avery Dennison and Graphic Packaging go up and down completely randomly.
Pair Corralation between Avery Dennison and Graphic Packaging
Considering the 90-day investment horizon Avery Dennison Corp is expected to under-perform the Graphic Packaging. In addition to that, Avery Dennison is 1.04 times more volatile than Graphic Packaging Holding. It trades about -0.05 of its total potential returns per unit of risk. Graphic Packaging Holding is currently generating about 0.03 per unit of volatility. If you would invest 2,939 in Graphic Packaging Holding on September 12, 2024 and sell it today you would earn a total of 15.00 from holding Graphic Packaging Holding or generate 0.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Avery Dennison Corp vs. Graphic Packaging Holding
Performance |
Timeline |
Avery Dennison Corp |
Graphic Packaging Holding |
Avery Dennison and Graphic Packaging Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Avery Dennison and Graphic Packaging
The main advantage of trading using opposite Avery Dennison and Graphic Packaging positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Avery Dennison position performs unexpectedly, Graphic Packaging 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 Graphic Packaging will offset losses from the drop in Graphic Packaging's long position.Avery Dennison vs. Packaging Corp of | Avery Dennison vs. O I Glass | Avery Dennison vs. Silgan Holdings | Avery Dennison vs. Sealed Air |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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