Correlation Between Packaging and CCL Industries
Can any of the company-specific risk be diversified away by investing in both Packaging and CCL Industries 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 Packaging and CCL Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Packaging of and CCL Industries, you can compare the effects of market volatilities on Packaging and CCL Industries 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 Packaging with a short position of CCL Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Packaging and CCL Industries.
Diversification Opportunities for Packaging and CCL Industries
-0.52 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Packaging and CCL is -0.52. Overlapping area represents the amount of risk that can be diversified away by holding Packaging of and CCL Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CCL Industries and Packaging 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 Packaging of are associated (or correlated) with CCL Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CCL Industries has no effect on the direction of Packaging i.e., Packaging and CCL Industries go up and down completely randomly.
Pair Corralation between Packaging and CCL Industries
Assuming the 90 days horizon Packaging of is expected to under-perform the CCL Industries. But the stock apears to be less risky and, when comparing its historical volatility, Packaging of is 2.03 times less risky than CCL Industries. The stock trades about -0.6 of its potential returns per unit of risk. The CCL Industries is currently generating about -0.18 of returns per unit of risk over similar time horizon. If you would invest 5,219 in CCL Industries on September 23, 2024 and sell it today you would lose (239.00) from holding CCL Industries or give up 4.58% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Packaging of vs. CCL Industries
Performance |
Timeline |
Packaging |
CCL Industries |
Packaging and CCL Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Packaging and CCL Industries
The main advantage of trading using opposite Packaging and CCL Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Packaging position performs unexpectedly, CCL Industries 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 CCL Industries will offset losses from the drop in CCL Industries' long position.Packaging vs. Amcor plc | Packaging vs. Amcor plc | Packaging vs. Crown Holdings | Packaging vs. Smurfit Kappa Group |
CCL Industries vs. Amcor plc | CCL Industries vs. Amcor plc | CCL Industries vs. Packaging of | CCL Industries vs. Crown 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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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