Correlation Between Cheryong Industrial and Dongil Metal
Can any of the company-specific risk be diversified away by investing in both Cheryong Industrial and Dongil Metal 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 Cheryong Industrial and Dongil Metal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cheryong Industrial CoLtd and Dongil Metal Co, you can compare the effects of market volatilities on Cheryong Industrial and Dongil Metal 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 Cheryong Industrial with a short position of Dongil Metal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cheryong Industrial and Dongil Metal.
Diversification Opportunities for Cheryong Industrial and Dongil Metal
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Cheryong and Dongil is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Cheryong Industrial CoLtd and Dongil Metal Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dongil Metal and Cheryong Industrial 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 Cheryong Industrial CoLtd are associated (or correlated) with Dongil Metal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dongil Metal has no effect on the direction of Cheryong Industrial i.e., Cheryong Industrial and Dongil Metal go up and down completely randomly.
Pair Corralation between Cheryong Industrial and Dongil Metal
Assuming the 90 days trading horizon Cheryong Industrial CoLtd is expected to generate 2.81 times more return on investment than Dongil Metal. However, Cheryong Industrial is 2.81 times more volatile than Dongil Metal Co. It trades about 0.03 of its potential returns per unit of risk. Dongil Metal Co is currently generating about -0.11 per unit of risk. If you would invest 571,000 in Cheryong Industrial CoLtd on September 27, 2024 and sell it today you would earn a total of 6,000 from holding Cheryong Industrial CoLtd or generate 1.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Cheryong Industrial CoLtd vs. Dongil Metal Co
Performance |
Timeline |
Cheryong Industrial CoLtd |
Dongil Metal |
Cheryong Industrial and Dongil Metal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cheryong Industrial and Dongil Metal
The main advantage of trading using opposite Cheryong Industrial and Dongil Metal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cheryong Industrial position performs unexpectedly, Dongil Metal 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 Dongil Metal will offset losses from the drop in Dongil Metal's long position.Cheryong Industrial vs. KT Submarine Telecom | Cheryong Industrial vs. Korea Information Communications | Cheryong Industrial vs. Foodnamoo | Cheryong Industrial vs. CKH Food Health |
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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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