Correlation Between SK Telecom and Dongbu Insurance
Can any of the company-specific risk be diversified away by investing in both SK Telecom and Dongbu Insurance 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 Dongbu Insurance 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 Dongbu Insurance Co, you can compare the effects of market volatilities on SK Telecom and Dongbu Insurance 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 Dongbu Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of SK Telecom and Dongbu Insurance.
Diversification Opportunities for SK Telecom and Dongbu Insurance
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between 017670 and Dongbu is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding SK Telecom Co and Dongbu Insurance Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dongbu Insurance 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 Dongbu Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dongbu Insurance has no effect on the direction of SK Telecom i.e., SK Telecom and Dongbu Insurance go up and down completely randomly.
Pair Corralation between SK Telecom and Dongbu Insurance
Assuming the 90 days trading horizon SK Telecom Co is expected to generate 0.5 times more return on investment than Dongbu Insurance. However, SK Telecom Co is 1.98 times less risky than Dongbu Insurance. It trades about 0.02 of its potential returns per unit of risk. Dongbu Insurance Co is currently generating about -0.03 per unit of risk. If you would invest 5,590,000 in SK Telecom Co on September 30, 2024 and sell it today you would earn a total of 40,000 from holding SK Telecom Co or generate 0.72% 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. Dongbu Insurance Co
Performance |
Timeline |
SK Telecom |
Dongbu Insurance |
SK Telecom and Dongbu Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SK Telecom and Dongbu Insurance
The main advantage of trading using opposite SK Telecom and Dongbu Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SK Telecom position performs unexpectedly, Dongbu Insurance 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 Dongbu Insurance will offset losses from the drop in Dongbu Insurance'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 |
Dongbu Insurance vs. AptaBio Therapeutics | Dongbu Insurance vs. Wonbang Tech Co | Dongbu Insurance vs. Busan Industrial Co | Dongbu Insurance vs. Busan Ind |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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