Correlation Between Smurfit Kappa and Smurfit Kappa
Can any of the company-specific risk be diversified away by investing in both Smurfit Kappa and Smurfit Kappa 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 Smurfit Kappa and Smurfit Kappa into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Smurfit Kappa Group and Smurfit Kappa Group, you can compare the effects of market volatilities on Smurfit Kappa and Smurfit Kappa 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 Smurfit Kappa with a short position of Smurfit Kappa. Check out your portfolio center. Please also check ongoing floating volatility patterns of Smurfit Kappa and Smurfit Kappa.
Diversification Opportunities for Smurfit Kappa and Smurfit Kappa
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Smurfit and Smurfit is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Smurfit Kappa Group and Smurfit Kappa Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Smurfit Kappa Group and Smurfit Kappa 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 Smurfit Kappa Group are associated (or correlated) with Smurfit Kappa. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Smurfit Kappa Group has no effect on the direction of Smurfit Kappa i.e., Smurfit Kappa and Smurfit Kappa go up and down completely randomly.
Pair Corralation between Smurfit Kappa and Smurfit Kappa
Assuming the 90 days horizon Smurfit Kappa Group is expected to generate 0.49 times more return on investment than Smurfit Kappa. However, Smurfit Kappa Group is 2.03 times less risky than Smurfit Kappa. It trades about -0.08 of its potential returns per unit of risk. Smurfit Kappa Group is currently generating about -0.16 per unit of risk. If you would invest 4,413 in Smurfit Kappa Group on January 29, 2024 and sell it today you would lose (93.00) from holding Smurfit Kappa Group or give up 2.11% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Smurfit Kappa Group vs. Smurfit Kappa Group
Performance |
Timeline |
Smurfit Kappa Group |
Smurfit Kappa Group |
Smurfit Kappa and Smurfit Kappa Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Smurfit Kappa and Smurfit Kappa
The main advantage of trading using opposite Smurfit Kappa and Smurfit Kappa positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Smurfit Kappa position performs unexpectedly, Smurfit Kappa 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 Smurfit Kappa will offset losses from the drop in Smurfit Kappa's long position.Smurfit Kappa vs. Ball Corporation | Smurfit Kappa vs. Sealed Air | Smurfit Kappa vs. International Paper | Smurfit Kappa vs. Avery Dennison Corp |
Smurfit Kappa vs. Ball Corporation | Smurfit Kappa vs. Sealed Air | Smurfit Kappa vs. International Paper | Smurfit Kappa vs. Avery Dennison Corp |
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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