Correlation Between Smurfit Kappa and PENINSULA ENERG
Can any of the company-specific risk be diversified away by investing in both Smurfit Kappa and PENINSULA ENERG 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 PENINSULA ENERG 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 PENINSULA ENERG, you can compare the effects of market volatilities on Smurfit Kappa and PENINSULA ENERG 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 PENINSULA ENERG. Check out your portfolio center. Please also check ongoing floating volatility patterns of Smurfit Kappa and PENINSULA ENERG.
Diversification Opportunities for Smurfit Kappa and PENINSULA ENERG
-0.89 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Smurfit and PENINSULA is -0.89. Overlapping area represents the amount of risk that can be diversified away by holding Smurfit Kappa Group and PENINSULA ENERG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PENINSULA ENERG 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 PENINSULA ENERG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PENINSULA ENERG has no effect on the direction of Smurfit Kappa i.e., Smurfit Kappa and PENINSULA ENERG go up and down completely randomly.
Pair Corralation between Smurfit Kappa and PENINSULA ENERG
Assuming the 90 days horizon Smurfit Kappa Group is expected to under-perform the PENINSULA ENERG. But the stock apears to be less risky and, when comparing its historical volatility, Smurfit Kappa Group is 3.57 times less risky than PENINSULA ENERG. The stock trades about -0.2 of its potential returns per unit of risk. The PENINSULA ENERG is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 73.00 in PENINSULA ENERG on September 22, 2024 and sell it today you would earn a total of 4.00 from holding PENINSULA ENERG or generate 5.48% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Smurfit Kappa Group vs. PENINSULA ENERG
Performance |
Timeline |
Smurfit Kappa Group |
PENINSULA ENERG |
Smurfit Kappa and PENINSULA ENERG Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Smurfit Kappa and PENINSULA ENERG
The main advantage of trading using opposite Smurfit Kappa and PENINSULA ENERG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Smurfit Kappa position performs unexpectedly, PENINSULA ENERG 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 PENINSULA ENERG will offset losses from the drop in PENINSULA ENERG's long position.Smurfit Kappa vs. Amcor plc | Smurfit Kappa vs. Amcor plc | Smurfit Kappa vs. Packaging of | Smurfit Kappa vs. Crown Holdings |
PENINSULA ENERG vs. Apple Inc | PENINSULA ENERG vs. Apple Inc | PENINSULA ENERG vs. Apple Inc | PENINSULA ENERG vs. Apple Inc |
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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