Correlation Between Dongsin Engineering and Sam Yang
Can any of the company-specific risk be diversified away by investing in both Dongsin Engineering and Sam Yang 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 Dongsin Engineering and Sam Yang into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dongsin Engineering Construction and Sam Yang Foods, you can compare the effects of market volatilities on Dongsin Engineering and Sam Yang 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 Dongsin Engineering with a short position of Sam Yang. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dongsin Engineering and Sam Yang.
Diversification Opportunities for Dongsin Engineering and Sam Yang
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Dongsin and Sam is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Dongsin Engineering Constructi and Sam Yang Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sam Yang Foods and Dongsin Engineering 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 Dongsin Engineering Construction are associated (or correlated) with Sam Yang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sam Yang Foods has no effect on the direction of Dongsin Engineering i.e., Dongsin Engineering and Sam Yang go up and down completely randomly.
Pair Corralation between Dongsin Engineering and Sam Yang
Assuming the 90 days trading horizon Dongsin Engineering Construction is expected to generate 1.69 times more return on investment than Sam Yang. However, Dongsin Engineering is 1.69 times more volatile than Sam Yang Foods. It trades about 0.08 of its potential returns per unit of risk. Sam Yang Foods is currently generating about 0.12 per unit of risk. If you would invest 1,511,416 in Dongsin Engineering Construction on October 5, 2024 and sell it today you would earn a total of 4,318,584 from holding Dongsin Engineering Construction or generate 285.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 99.79% |
Values | Daily Returns |
Dongsin Engineering Constructi vs. Sam Yang Foods
Performance |
Timeline |
Dongsin Engineering |
Sam Yang Foods |
Dongsin Engineering and Sam Yang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dongsin Engineering and Sam Yang
The main advantage of trading using opposite Dongsin Engineering and Sam Yang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dongsin Engineering position performs unexpectedly, Sam Yang 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 Sam Yang will offset losses from the drop in Sam Yang's long position.Dongsin Engineering vs. KG Eco Technology | Dongsin Engineering vs. Alton Sports CoLtd | Dongsin Engineering vs. Grand Korea Leisure | Dongsin Engineering vs. Cots Technology Co |
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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 Transaction History module to view history of all your transactions and understand their impact on performance.
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