Correlation Between Dongbang Transport and SK Telecom
Can any of the company-specific risk be diversified away by investing in both Dongbang Transport 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 Dongbang Transport and SK Telecom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dongbang Transport Logistics and SK Telecom Co, you can compare the effects of market volatilities on Dongbang Transport 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 Dongbang Transport with a short position of SK Telecom. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dongbang Transport and SK Telecom.
Diversification Opportunities for Dongbang Transport and SK Telecom
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Dongbang and 017670 is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding Dongbang Transport Logistics and SK Telecom Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SK Telecom and Dongbang Transport 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 Dongbang Transport Logistics 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 has no effect on the direction of Dongbang Transport i.e., Dongbang Transport and SK Telecom go up and down completely randomly.
Pair Corralation between Dongbang Transport and SK Telecom
Assuming the 90 days trading horizon Dongbang Transport is expected to generate 3.2 times less return on investment than SK Telecom. In addition to that, Dongbang Transport is 3.14 times more volatile than SK Telecom Co. It trades about 0.01 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 4,184,478 in SK Telecom Co on September 26, 2024 and sell it today you would earn a total of 1,495,522 from holding SK Telecom Co or generate 35.74% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Dongbang Transport Logistics vs. SK Telecom Co
Performance |
Timeline |
Dongbang Transport |
SK Telecom |
Dongbang Transport and SK Telecom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dongbang Transport and SK Telecom
The main advantage of trading using opposite Dongbang Transport and SK Telecom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dongbang Transport 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.Dongbang Transport vs. EBEST Investment Securities | Dongbang Transport vs. Daelim Trading Co | Dongbang Transport vs. Jeju Semiconductor Corp | Dongbang Transport vs. Korea Investment Holdings |
SK Telecom vs. Duksan Hi Metal | SK Telecom vs. Kbi Metal Co | SK Telecom vs. Dongbang Transport Logistics | SK Telecom vs. Mirai Semiconductors 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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