Correlation Between Choil Aluminum and Dongkuk Steel
Can any of the company-specific risk be diversified away by investing in both Choil Aluminum and Dongkuk Steel 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 Choil Aluminum and Dongkuk Steel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Choil Aluminum and Dongkuk Steel Mill, you can compare the effects of market volatilities on Choil Aluminum and Dongkuk Steel 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 Choil Aluminum with a short position of Dongkuk Steel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Choil Aluminum and Dongkuk Steel.
Diversification Opportunities for Choil Aluminum and Dongkuk Steel
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Choil and Dongkuk is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Choil Aluminum and Dongkuk Steel Mill in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dongkuk Steel Mill and Choil Aluminum 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 Choil Aluminum are associated (or correlated) with Dongkuk Steel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dongkuk Steel Mill has no effect on the direction of Choil Aluminum i.e., Choil Aluminum and Dongkuk Steel go up and down completely randomly.
Pair Corralation between Choil Aluminum and Dongkuk Steel
Assuming the 90 days trading horizon Choil Aluminum is expected to under-perform the Dongkuk Steel. In addition to that, Choil Aluminum is 3.04 times more volatile than Dongkuk Steel Mill. It trades about -0.06 of its total potential returns per unit of risk. Dongkuk Steel Mill is currently generating about 0.1 per unit of volatility. If you would invest 741,000 in Dongkuk Steel Mill on September 21, 2024 and sell it today you would earn a total of 17,000 from holding Dongkuk Steel Mill or generate 2.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Choil Aluminum vs. Dongkuk Steel Mill
Performance |
Timeline |
Choil Aluminum |
Dongkuk Steel Mill |
Choil Aluminum and Dongkuk Steel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Choil Aluminum and Dongkuk Steel
The main advantage of trading using opposite Choil Aluminum and Dongkuk Steel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Choil Aluminum position performs unexpectedly, Dongkuk Steel 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 Dongkuk Steel will offset losses from the drop in Dongkuk Steel's long position.Choil Aluminum vs. Polaris Office Corp | Choil Aluminum vs. Samyoung Electronics Co | Choil Aluminum vs. Seoul Semiconductor Co | Choil Aluminum vs. INFINITT Healthcare Co |
Dongkuk Steel vs. Kukdo Chemical Co | Dongkuk Steel vs. Daiyang Metal Co | Dongkuk Steel vs. Namhae Chemical | Dongkuk Steel vs. Choil Aluminum |
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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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