Correlation Between ENF Technology and Dongjin Semichem
Can any of the company-specific risk be diversified away by investing in both ENF Technology 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 ENF Technology and Dongjin Semichem into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ENF Technology Co and Dongjin Semichem Co, you can compare the effects of market volatilities on ENF Technology 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 ENF Technology with a short position of Dongjin Semichem. Check out your portfolio center. Please also check ongoing floating volatility patterns of ENF Technology and Dongjin Semichem.
Diversification Opportunities for ENF Technology and Dongjin Semichem
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between ENF and Dongjin is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding ENF Technology 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 ENF Technology 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 ENF Technology 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 ENF Technology i.e., ENF Technology and Dongjin Semichem go up and down completely randomly.
Pair Corralation between ENF Technology and Dongjin Semichem
Assuming the 90 days trading horizon ENF Technology Co is expected to generate 1.11 times more return on investment than Dongjin Semichem. However, ENF Technology is 1.11 times more volatile than Dongjin Semichem Co. It trades about 0.2 of its potential returns per unit of risk. Dongjin Semichem Co is currently generating about -0.11 per unit of risk. If you would invest 1,603,000 in ENF Technology Co on September 20, 2024 and sell it today you would earn a total of 215,000 from holding ENF Technology Co or generate 13.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
ENF Technology Co vs. Dongjin Semichem Co
Performance |
Timeline |
ENF Technology |
Dongjin Semichem |
ENF Technology and Dongjin Semichem Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ENF Technology and Dongjin Semichem
The main advantage of trading using opposite ENF Technology and Dongjin Semichem positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ENF Technology 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.ENF Technology vs. Dongjin Semichem Co | ENF Technology vs. SS TECH | ENF Technology vs. Tokai Carbon Korea | ENF Technology vs. Soulbrain Holdings Co |
Dongjin Semichem vs. LG Chemicals | Dongjin Semichem vs. POSCO Holdings | Dongjin Semichem vs. Hanwha Solutions | Dongjin Semichem vs. Lotte Chemical Corp |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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