Correlation Between SK Telecom and DB Financial
Can any of the company-specific risk be diversified away by investing in both SK Telecom and DB Financial 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 SK Telecom and DB Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SK Telecom Co and DB Financial Investment, you can compare the effects of market volatilities on SK Telecom and DB Financial 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 SK Telecom with a short position of DB Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of SK Telecom and DB Financial.
Diversification Opportunities for SK Telecom and DB Financial
-0.18 | Correlation Coefficient |
Good diversification
The 3 months correlation between 017670 and 016610 is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding SK Telecom Co and DB Financial Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DB Financial Investment and SK Telecom 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 SK Telecom Co are associated (or correlated) with DB Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DB Financial Investment has no effect on the direction of SK Telecom i.e., SK Telecom and DB Financial go up and down completely randomly.
Pair Corralation between SK Telecom and DB Financial
Assuming the 90 days trading horizon SK Telecom is expected to generate 2.1 times less return on investment than DB Financial. But when comparing it to its historical volatility, SK Telecom Co is 2.19 times less risky than DB Financial. It trades about 0.07 of its potential returns per unit of risk. DB Financial Investment is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 433,000 in DB Financial Investment on September 30, 2024 and sell it today you would earn a total of 87,000 from holding DB Financial Investment or generate 20.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SK Telecom Co vs. DB Financial Investment
Performance |
Timeline |
SK Telecom |
DB Financial Investment |
SK Telecom and DB Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SK Telecom and DB Financial
The main advantage of trading using opposite SK Telecom and DB Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SK Telecom position performs unexpectedly, DB Financial 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 DB Financial will offset losses from the drop in DB Financial's long position.SK Telecom vs. Samsung Electronics Co | SK Telecom vs. Samsung Electronics Co | SK Telecom vs. KB Financial Group | SK Telecom vs. Shinhan Financial Group |
DB Financial vs. KB Financial Group | DB Financial vs. Hyundai Motor | DB Financial vs. Hyundai Motor Co | DB Financial vs. Hyundai Motor Co |
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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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