Correlation Between Dongbang Transport and Kukdo Chemical
Can any of the company-specific risk be diversified away by investing in both Dongbang Transport and Kukdo Chemical 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 Dongbang Transport and Kukdo Chemical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dongbang Transport Logistics and Kukdo Chemical Co, you can compare the effects of market volatilities on Dongbang Transport and Kukdo Chemical 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 Dongbang Transport with a short position of Kukdo Chemical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dongbang Transport and Kukdo Chemical.
Diversification Opportunities for Dongbang Transport and Kukdo Chemical
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Dongbang and Kukdo is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Dongbang Transport Logistics and Kukdo Chemical Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kukdo Chemical and Dongbang Transport 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 Dongbang Transport Logistics are associated (or correlated) with Kukdo Chemical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kukdo Chemical has no effect on the direction of Dongbang Transport i.e., Dongbang Transport and Kukdo Chemical go up and down completely randomly.
Pair Corralation between Dongbang Transport and Kukdo Chemical
Assuming the 90 days trading horizon Dongbang Transport is expected to generate 1.04 times less return on investment than Kukdo Chemical. In addition to that, Dongbang Transport is 1.02 times more volatile than Kukdo Chemical Co. It trades about 0.03 of its total potential returns per unit of risk. Kukdo Chemical Co is currently generating about 0.04 per unit of volatility. If you would invest 2,926,958 in Kukdo Chemical Co on December 25, 2024 and sell it today you would earn a total of 88,042 from holding Kukdo Chemical Co or generate 3.01% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.25% |
Values | Daily Returns |
Dongbang Transport Logistics vs. Kukdo Chemical Co
Performance |
Timeline |
Dongbang Transport |
Kukdo Chemical |
Dongbang Transport and Kukdo Chemical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dongbang Transport and Kukdo Chemical
The main advantage of trading using opposite Dongbang Transport and Kukdo Chemical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dongbang Transport position performs unexpectedly, Kukdo Chemical 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 Kukdo Chemical will offset losses from the drop in Kukdo Chemical's long position.Dongbang Transport vs. Woorim Machinery Co | Dongbang Transport vs. GS Engineering Construction | Dongbang Transport vs. JC Chemical Co | Dongbang Transport vs. SEOJEON ELECTRIC MACHINERY |
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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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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