Correlation Between HJ ShipBuilding and Hyundai Green
Can any of the company-specific risk be diversified away by investing in both HJ ShipBuilding and Hyundai Green 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 HJ ShipBuilding and Hyundai Green into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between HJ ShipBuilding Construction and Hyundai Green Food, you can compare the effects of market volatilities on HJ ShipBuilding and Hyundai Green 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 HJ ShipBuilding with a short position of Hyundai Green. Check out your portfolio center. Please also check ongoing floating volatility patterns of HJ ShipBuilding and Hyundai Green.
Diversification Opportunities for HJ ShipBuilding and Hyundai Green
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between 097230 and Hyundai is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding HJ ShipBuilding Construction and Hyundai Green Food in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hyundai Green Food and HJ 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 HJ ShipBuilding Construction are associated (or correlated) with Hyundai Green. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hyundai Green Food has no effect on the direction of HJ ShipBuilding i.e., HJ ShipBuilding and Hyundai Green go up and down completely randomly.
Pair Corralation between HJ ShipBuilding and Hyundai Green
Assuming the 90 days trading horizon HJ ShipBuilding Construction is expected to generate 3.7 times more return on investment than Hyundai Green. However, HJ ShipBuilding is 3.7 times more volatile than Hyundai Green Food. It trades about 0.19 of its potential returns per unit of risk. Hyundai Green Food is currently generating about 0.22 per unit of risk. If you would invest 281,000 in HJ ShipBuilding Construction on September 4, 2024 and sell it today you would earn a total of 169,000 from holding HJ ShipBuilding Construction or generate 60.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
HJ ShipBuilding Construction vs. Hyundai Green Food
Performance |
Timeline |
HJ ShipBuilding Cons |
Hyundai Green Food |
HJ ShipBuilding and Hyundai Green Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with HJ ShipBuilding and Hyundai Green
The main advantage of trading using opposite HJ ShipBuilding and Hyundai Green positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if HJ ShipBuilding position performs unexpectedly, Hyundai Green 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 Hyundai Green will offset losses from the drop in Hyundai Green's long position.HJ ShipBuilding vs. LG Display | HJ ShipBuilding vs. Hyundai Motor | HJ ShipBuilding vs. Hyundai Motor Co | HJ ShipBuilding vs. Hyundai Motor Co |
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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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