Correlation Between Hankuk Steel and Hanjin Transportation
Can any of the company-specific risk be diversified away by investing in both Hankuk Steel and Hanjin Transportation 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 Hankuk Steel and Hanjin Transportation into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hankuk Steel Wire and Hanjin Transportation Co, you can compare the effects of market volatilities on Hankuk Steel and Hanjin Transportation 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 Hankuk Steel with a short position of Hanjin Transportation. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hankuk Steel and Hanjin Transportation.
Diversification Opportunities for Hankuk Steel and Hanjin Transportation
-0.36 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Hankuk and Hanjin is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding Hankuk Steel Wire and Hanjin Transportation Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hanjin Transportation and Hankuk Steel 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 Hankuk Steel Wire are associated (or correlated) with Hanjin Transportation. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hanjin Transportation has no effect on the direction of Hankuk Steel i.e., Hankuk Steel and Hanjin Transportation go up and down completely randomly.
Pair Corralation between Hankuk Steel and Hanjin Transportation
Assuming the 90 days trading horizon Hankuk Steel Wire is expected to under-perform the Hanjin Transportation. In addition to that, Hankuk Steel is 5.15 times more volatile than Hanjin Transportation Co. It trades about -0.09 of its total potential returns per unit of risk. Hanjin Transportation Co is currently generating about 0.14 per unit of volatility. If you would invest 1,877,244 in Hanjin Transportation Co on December 23, 2024 and sell it today you would earn a total of 94,756 from holding Hanjin Transportation Co or generate 5.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Hankuk Steel Wire vs. Hanjin Transportation Co
Performance |
Timeline |
Hankuk Steel Wire |
Hanjin Transportation |
Hankuk Steel and Hanjin Transportation Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hankuk Steel and Hanjin Transportation
The main advantage of trading using opposite Hankuk Steel and Hanjin Transportation positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hankuk Steel position performs unexpectedly, Hanjin Transportation 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 Hanjin Transportation will offset losses from the drop in Hanjin Transportation's long position.Hankuk Steel vs. Lotte Data Communication | Hankuk Steel vs. ECSTELECOM Co | Hankuk Steel vs. Nable Communications | Hankuk Steel vs. Sejong Telecom |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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