Correlation Between Dongil Technology and SK Bioscience
Can any of the company-specific risk be diversified away by investing in both Dongil Technology and SK Bioscience 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 Dongil Technology and SK Bioscience into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dongil Technology and SK Bioscience Co, you can compare the effects of market volatilities on Dongil Technology and SK Bioscience 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 Dongil Technology with a short position of SK Bioscience. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dongil Technology and SK Bioscience.
Diversification Opportunities for Dongil Technology and SK Bioscience
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Dongil and 302440 is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Dongil Technology and SK Bioscience Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SK Bioscience and Dongil 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 Dongil Technology are associated (or correlated) with SK Bioscience. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SK Bioscience has no effect on the direction of Dongil Technology i.e., Dongil Technology and SK Bioscience go up and down completely randomly.
Pair Corralation between Dongil Technology and SK Bioscience
Assuming the 90 days trading horizon Dongil Technology is expected to under-perform the SK Bioscience. But the stock apears to be less risky and, when comparing its historical volatility, Dongil Technology is 3.59 times less risky than SK Bioscience. The stock trades about -0.21 of its potential returns per unit of risk. The SK Bioscience Co is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 5,550,000 in SK Bioscience Co on September 13, 2024 and sell it today you would earn a total of 200,000 from holding SK Bioscience Co or generate 3.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Dongil Technology vs. SK Bioscience Co
Performance |
Timeline |
Dongil Technology |
SK Bioscience |
Dongil Technology and SK Bioscience Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dongil Technology and SK Bioscience
The main advantage of trading using opposite Dongil Technology and SK Bioscience positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dongil Technology position performs unexpectedly, SK Bioscience 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 Bioscience will offset losses from the drop in SK Bioscience's long position.Dongil Technology vs. Cube Entertainment | Dongil Technology vs. Dreamus Company | Dongil Technology vs. LG Energy Solution | Dongil Technology vs. Dongwon System |
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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 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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