Correlation Between Elevance Health, and SK Telecom
Can any of the company-specific risk be diversified away by investing in both Elevance Health, and SK Telecom 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 Elevance Health, and SK Telecom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Elevance Health, and SK Telecom Co,, you can compare the effects of market volatilities on Elevance Health, and SK Telecom 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 Elevance Health, with a short position of SK Telecom. Check out your portfolio center. Please also check ongoing floating volatility patterns of Elevance Health, and SK Telecom.
Diversification Opportunities for Elevance Health, and SK Telecom
-0.54 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Elevance and S1KM34 is -0.54. Overlapping area represents the amount of risk that can be diversified away by holding Elevance Health, and SK Telecom Co, in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SK Telecom Co, and Elevance Health, 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 Elevance Health, are associated (or correlated) with SK Telecom. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SK Telecom Co, has no effect on the direction of Elevance Health, i.e., Elevance Health, and SK Telecom go up and down completely randomly.
Pair Corralation between Elevance Health, and SK Telecom
Assuming the 90 days trading horizon Elevance Health, is expected to under-perform the SK Telecom. In addition to that, Elevance Health, is 1.24 times more volatile than SK Telecom Co,. It trades about -0.11 of its total potential returns per unit of risk. SK Telecom Co, is currently generating about 0.06 per unit of volatility. If you would invest 3,171 in SK Telecom Co, on October 8, 2024 and sell it today you would earn a total of 150.00 from holding SK Telecom Co, or generate 4.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Elevance Health, vs. SK Telecom Co,
Performance |
Timeline |
Elevance Health, |
SK Telecom Co, |
Elevance Health, and SK Telecom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Elevance Health, and SK Telecom
The main advantage of trading using opposite Elevance Health, and SK Telecom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Elevance Health, position performs unexpectedly, SK Telecom 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 SK Telecom will offset losses from the drop in SK Telecom's long position.Elevance Health, vs. Taiwan Semiconductor Manufacturing | Elevance Health, vs. Apple Inc | Elevance Health, vs. Alibaba Group Holding | Elevance Health, vs. Banco Santander Chile |
SK Telecom vs. Taiwan Semiconductor Manufacturing | SK Telecom vs. Apple Inc | SK Telecom vs. Alibaba Group Holding | SK Telecom vs. Banco Santander Chile |
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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