Correlation Between Dow Jones and SK Telecom
Can any of the company-specific risk be diversified away by investing in both Dow Jones 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 Dow Jones and SK Telecom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and SK Telecom Co,, you can compare the effects of market volatilities on Dow Jones 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 Dow Jones with a short position of SK Telecom. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and SK Telecom.
Diversification Opportunities for Dow Jones and SK Telecom
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Dow and S1KM34 is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial 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 Dow Jones 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 Dow Jones Industrial 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 Dow Jones i.e., Dow Jones and SK Telecom go up and down completely randomly.
Pair Corralation between Dow Jones and SK Telecom
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.41 times more return on investment than SK Telecom. However, Dow Jones Industrial is 2.44 times less risky than SK Telecom. It trades about 0.1 of its potential returns per unit of risk. SK Telecom Co, is currently generating about -0.13 per unit of risk. If you would invest 4,290,695 in Dow Jones Industrial on October 22, 2024 and sell it today you would earn a total of 58,088 from holding Dow Jones Industrial or generate 1.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 89.47% |
Values | Daily Returns |
Dow Jones Industrial vs. SK Telecom Co,
Performance |
Timeline |
Dow Jones and SK Telecom Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
SK Telecom Co,
Pair trading matchups for SK Telecom
Pair Trading with Dow Jones and SK Telecom
The main advantage of trading using opposite Dow Jones and SK Telecom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones 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.Dow Jones vs. Nasdaq Inc | Dow Jones vs. Summit Materials | Dow Jones vs. Vulcan Materials | Dow Jones vs. Celsius Holdings |
SK Telecom vs. Zoom Video Communications | SK Telecom vs. Metalrgica Riosulense SA | SK Telecom vs. Palantir Technologies | SK Telecom vs. Bio Techne |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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