Correlation Between Sk Biopharmaceutica and Sejong Telecom
Can any of the company-specific risk be diversified away by investing in both Sk Biopharmaceutica and Sejong 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 Sk Biopharmaceutica and Sejong Telecom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sk Biopharmaceuticals Co and Sejong Telecom, you can compare the effects of market volatilities on Sk Biopharmaceutica and Sejong 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 Sk Biopharmaceutica with a short position of Sejong Telecom. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sk Biopharmaceutica and Sejong Telecom.
Diversification Opportunities for Sk Biopharmaceutica and Sejong Telecom
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between 326030 and Sejong is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Sk Biopharmaceuticals Co and Sejong Telecom in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sejong Telecom and Sk Biopharmaceutica 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 Biopharmaceuticals Co are associated (or correlated) with Sejong Telecom. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sejong Telecom has no effect on the direction of Sk Biopharmaceutica i.e., Sk Biopharmaceutica and Sejong Telecom go up and down completely randomly.
Pair Corralation between Sk Biopharmaceutica and Sejong Telecom
Assuming the 90 days trading horizon Sk Biopharmaceuticals Co is expected to generate 2.18 times more return on investment than Sejong Telecom. However, Sk Biopharmaceutica is 2.18 times more volatile than Sejong Telecom. It trades about 0.11 of its potential returns per unit of risk. Sejong Telecom is currently generating about -0.24 per unit of risk. If you would invest 7,570,000 in Sk Biopharmaceuticals Co on September 25, 2024 and sell it today you would earn a total of 2,900,000 from holding Sk Biopharmaceuticals Co or generate 38.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 99.18% |
Values | Daily Returns |
Sk Biopharmaceuticals Co vs. Sejong Telecom
Performance |
Timeline |
Sk Biopharmaceuticals |
Sejong Telecom |
Sk Biopharmaceutica and Sejong Telecom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sk Biopharmaceutica and Sejong Telecom
The main advantage of trading using opposite Sk Biopharmaceutica and Sejong Telecom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sk Biopharmaceutica position performs unexpectedly, Sejong 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 Sejong Telecom will offset losses from the drop in Sejong Telecom's long position.Sk Biopharmaceutica vs. Sejong Telecom | Sk Biopharmaceutica vs. Korea Information Communications | Sk Biopharmaceutica vs. SK Telecom Co | Sk Biopharmaceutica vs. Daishin Information Communications |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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