Correlation Between Samsung Electronics and Smurfit Kappa
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics 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 Samsung Electronics and Smurfit Kappa into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samsung Electronics Co and Smurfit Kappa Group, you can compare the effects of market volatilities on Samsung Electronics 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 Samsung Electronics with a short position of Smurfit Kappa. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Smurfit Kappa.
Diversification Opportunities for Samsung Electronics and Smurfit Kappa
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Samsung and Smurfit is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co 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 Samsung Electronics 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 Samsung Electronics Co 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 Samsung Electronics i.e., Samsung Electronics and Smurfit Kappa go up and down completely randomly.
Pair Corralation between Samsung Electronics and Smurfit Kappa
Assuming the 90 days horizon Samsung Electronics Co is expected to generate 1.03 times more return on investment than Smurfit Kappa. However, Samsung Electronics is 1.03 times more volatile than Smurfit Kappa Group. It trades about 0.05 of its potential returns per unit of risk. Smurfit Kappa Group is currently generating about -0.14 per unit of risk. If you would invest 87,800 in Samsung Electronics Co on December 30, 2024 and sell it today you would earn a total of 5,400 from holding Samsung Electronics Co or generate 6.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Samsung Electronics Co vs. Smurfit Kappa Group
Performance |
Timeline |
Samsung Electronics |
Smurfit Kappa Group |
Samsung Electronics and Smurfit Kappa Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Smurfit Kappa
The main advantage of trading using opposite Samsung Electronics and Smurfit Kappa positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics 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.Samsung Electronics vs. JD SPORTS FASH | Samsung Electronics vs. InPlay Oil Corp | Samsung Electronics vs. PLAYWAY SA ZY 10 | Samsung Electronics vs. Singapore Airlines Limited |
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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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
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