Correlation Between Sealed Air and Packaging Corp
Can any of the company-specific risk be diversified away by investing in both Sealed Air and Packaging Corp 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 Sealed Air and Packaging Corp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sealed Air and Packaging Corp, you can compare the effects of market volatilities on Sealed Air and Packaging Corp 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 Sealed Air with a short position of Packaging Corp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sealed Air and Packaging Corp.
Diversification Opportunities for Sealed Air and Packaging Corp
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between Sealed and Packaging is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding Sealed Air and Packaging Corp Of in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Packaging Corp and Sealed Air 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 Sealed Air are associated (or correlated) with Packaging Corp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Packaging Corp has no effect on the direction of Sealed Air i.e., Sealed Air and Packaging Corp go up and down completely randomly.
Pair Corralation between Sealed Air and Packaging Corp
Considering the 90-day investment horizon Sealed Air is expected to generate 1.42 times less return on investment than Packaging Corp. In addition to that, Sealed Air is 1.44 times more volatile than Packaging Corp. It trades about 0.18 of its total potential returns per unit of risk. Packaging Corp is currently generating about 0.36 per unit of volatility. If you would invest 17,360 in Packaging Corp on December 29, 2023 and sell it today you would earn a total of 1,534 from holding Packaging Corp or generate 8.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Sealed Air vs. Packaging Corp Of
Performance |
Timeline |
Sealed Air |
Packaging Corp |
Sealed Air and Packaging Corp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sealed Air and Packaging Corp
The main advantage of trading using opposite Sealed Air and Packaging Corp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sealed Air position performs unexpectedly, Packaging Corp 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 Packaging Corp will offset losses from the drop in Packaging Corp's long position.Sealed Air vs. International Paper | Sealed Air vs. O I Glass | Sealed Air vs. Millennium Group International | Sealed Air vs. Eightco Holdings |
Packaging Corp vs. International Paper | Packaging Corp vs. O I Glass | Packaging Corp vs. Millennium Group International | Packaging Corp vs. Eightco Holdings |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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