Correlation Between Dong A and Sangsin Energy
Can any of the company-specific risk be diversified away by investing in both Dong A and Sangsin Energy 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 Dong A and Sangsin Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dong A Steel Technology and Sangsin Energy Display, you can compare the effects of market volatilities on Dong A and Sangsin Energy 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 Dong A with a short position of Sangsin Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dong A and Sangsin Energy.
Diversification Opportunities for Dong A and Sangsin Energy
-0.65 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Dong and Sangsin is -0.65. Overlapping area represents the amount of risk that can be diversified away by holding Dong A Steel Technology and Sangsin Energy Display in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sangsin Energy Display and Dong A 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 Dong A Steel Technology are associated (or correlated) with Sangsin Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sangsin Energy Display has no effect on the direction of Dong A i.e., Dong A and Sangsin Energy go up and down completely randomly.
Pair Corralation between Dong A and Sangsin Energy
Assuming the 90 days trading horizon Dong A Steel Technology is expected to generate 1.24 times more return on investment than Sangsin Energy. However, Dong A is 1.24 times more volatile than Sangsin Energy Display. It trades about 0.03 of its potential returns per unit of risk. Sangsin Energy Display is currently generating about -0.28 per unit of risk. If you would invest 331,500 in Dong A Steel Technology on September 3, 2024 and sell it today you would earn a total of 8,500 from holding Dong A Steel Technology or generate 2.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dong A Steel Technology vs. Sangsin Energy Display
Performance |
Timeline |
Dong A Steel |
Sangsin Energy Display |
Dong A and Sangsin Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dong A and Sangsin Energy
The main advantage of trading using opposite Dong A and Sangsin Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dong A position performs unexpectedly, Sangsin Energy 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 Sangsin Energy will offset losses from the drop in Sangsin Energy's long position.Dong A vs. JC Chemical Co | Dong A vs. Posco Chemical Co | Dong A vs. LG Chemicals | Dong A vs. Digital Power Communications |
Sangsin Energy vs. LG Display | Sangsin Energy vs. Hyundai Motor | Sangsin Energy vs. Hyundai Motor Co | Sangsin Energy vs. Hyundai Motor 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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