Correlation Between Gyeongnam Steel and Dongjin Semichem
Can any of the company-specific risk be diversified away by investing in both Gyeongnam Steel and Dongjin Semichem 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 Dongjin Semichem 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 Dongjin Semichem Co, you can compare the effects of market volatilities on Gyeongnam Steel and Dongjin Semichem 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 Dongjin Semichem. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gyeongnam Steel and Dongjin Semichem.
Diversification Opportunities for Gyeongnam Steel and Dongjin Semichem
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Gyeongnam and Dongjin is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding Gyeongnam Steel Co and Dongjin Semichem Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dongjin Semichem 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 Dongjin Semichem. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dongjin Semichem has no effect on the direction of Gyeongnam Steel i.e., Gyeongnam Steel and Dongjin Semichem go up and down completely randomly.
Pair Corralation between Gyeongnam Steel and Dongjin Semichem
Assuming the 90 days trading horizon Gyeongnam Steel Co is expected to generate 1.48 times more return on investment than Dongjin Semichem. However, Gyeongnam Steel is 1.48 times more volatile than Dongjin Semichem Co. It trades about 0.13 of its potential returns per unit of risk. Dongjin Semichem Co is currently generating about -0.16 per unit of risk. If you would invest 301,000 in Gyeongnam Steel Co on September 25, 2024 and sell it today you would earn a total of 226,000 from holding Gyeongnam Steel Co or generate 75.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 99.18% |
Values | Daily Returns |
Gyeongnam Steel Co vs. Dongjin Semichem Co
Performance |
Timeline |
Gyeongnam Steel |
Dongjin Semichem |
Gyeongnam Steel and Dongjin Semichem Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gyeongnam Steel and Dongjin Semichem
The main advantage of trading using opposite Gyeongnam Steel and Dongjin Semichem positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gyeongnam Steel position performs unexpectedly, Dongjin Semichem 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 Dongjin Semichem will offset losses from the drop in Dongjin Semichem's long position.Gyeongnam Steel vs. CG Hi Tech | Gyeongnam Steel vs. Air Busan Co | Gyeongnam Steel vs. Namhae Chemical | Gyeongnam Steel vs. Korea Computer |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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