Correlation Between Gyeongnam Steel and Sk Biopharmaceutica
Can any of the company-specific risk be diversified away by investing in both Gyeongnam Steel and Sk Biopharmaceutica 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 Gyeongnam Steel and Sk Biopharmaceutica into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gyeongnam Steel Co and Sk Biopharmaceuticals Co, you can compare the effects of market volatilities on Gyeongnam Steel and Sk Biopharmaceutica 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 Gyeongnam Steel with a short position of Sk Biopharmaceutica. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gyeongnam Steel and Sk Biopharmaceutica.
Diversification Opportunities for Gyeongnam Steel and Sk Biopharmaceutica
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Gyeongnam and 326030 is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding Gyeongnam Steel Co and Sk Biopharmaceuticals Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sk Biopharmaceuticals and Gyeongnam Steel 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 Gyeongnam Steel Co are associated (or correlated) with Sk Biopharmaceutica. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sk Biopharmaceuticals has no effect on the direction of Gyeongnam Steel i.e., Gyeongnam Steel and Sk Biopharmaceutica go up and down completely randomly.
Pair Corralation between Gyeongnam Steel and Sk Biopharmaceutica
Assuming the 90 days trading horizon Gyeongnam Steel Co is expected to generate 3.18 times more return on investment than Sk Biopharmaceutica. However, Gyeongnam Steel is 3.18 times more volatile than Sk Biopharmaceuticals Co. It trades about 0.25 of its potential returns per unit of risk. Sk Biopharmaceuticals Co is currently generating about 0.08 per unit of risk. If you would invest 307,500 in Gyeongnam Steel Co on September 22, 2024 and sell it today you would earn a total of 164,500 from holding Gyeongnam Steel Co or generate 53.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.65% |
Values | Daily Returns |
Gyeongnam Steel Co vs. Sk Biopharmaceuticals Co
Performance |
Timeline |
Gyeongnam Steel |
Sk Biopharmaceuticals |
Gyeongnam Steel and Sk Biopharmaceutica Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gyeongnam Steel and Sk Biopharmaceutica
The main advantage of trading using opposite Gyeongnam Steel and Sk Biopharmaceutica positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gyeongnam Steel position performs unexpectedly, Sk Biopharmaceutica 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 Biopharmaceutica will offset losses from the drop in Sk Biopharmaceutica's long position.Gyeongnam Steel vs. Woori Technology Investment | Gyeongnam Steel vs. Stic Investments | Gyeongnam Steel vs. TS Investment Corp | Gyeongnam Steel vs. Mgame Corp |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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