Correlation Between Korea Shipbuilding and Dongbang Transport
Can any of the company-specific risk be diversified away by investing in both Korea Shipbuilding and Dongbang Transport 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 Korea Shipbuilding and Dongbang Transport into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Korea Shipbuilding Offshore and Dongbang Transport Logistics, you can compare the effects of market volatilities on Korea Shipbuilding and Dongbang Transport 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 Korea Shipbuilding with a short position of Dongbang Transport. Check out your portfolio center. Please also check ongoing floating volatility patterns of Korea Shipbuilding and Dongbang Transport.
Diversification Opportunities for Korea Shipbuilding and Dongbang Transport
-0.36 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Korea and Dongbang is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding Korea Shipbuilding Offshore and Dongbang Transport Logistics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dongbang Transport and Korea Shipbuilding 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 Korea Shipbuilding Offshore are associated (or correlated) with Dongbang Transport. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dongbang Transport has no effect on the direction of Korea Shipbuilding i.e., Korea Shipbuilding and Dongbang Transport go up and down completely randomly.
Pair Corralation between Korea Shipbuilding and Dongbang Transport
Assuming the 90 days trading horizon Korea Shipbuilding Offshore is expected to generate 1.24 times more return on investment than Dongbang Transport. However, Korea Shipbuilding is 1.24 times more volatile than Dongbang Transport Logistics. It trades about 0.11 of its potential returns per unit of risk. Dongbang Transport Logistics is currently generating about -0.11 per unit of risk. If you would invest 18,050,000 in Korea Shipbuilding Offshore on August 31, 2024 and sell it today you would earn a total of 3,100,000 from holding Korea Shipbuilding Offshore or generate 17.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Korea Shipbuilding Offshore vs. Dongbang Transport Logistics
Performance |
Timeline |
Korea Shipbuilding |
Dongbang Transport |
Korea Shipbuilding and Dongbang Transport Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Korea Shipbuilding and Dongbang Transport
The main advantage of trading using opposite Korea Shipbuilding and Dongbang Transport positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Korea Shipbuilding position performs unexpectedly, Dongbang Transport 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 Dongbang Transport will offset losses from the drop in Dongbang Transport's long position.Korea Shipbuilding vs. Automobile Pc | Korea Shipbuilding vs. Lindeman Asia Investment | Korea Shipbuilding vs. Air Busan Co | Korea Shipbuilding vs. Coloray International Investment |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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