Correlation Between Hyundai Heavy and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Hyundai Heavy and Dow Jones 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 Hyundai Heavy and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hyundai Heavy Industries and Dow Jones Industrial, you can compare the effects of market volatilities on Hyundai Heavy and Dow Jones 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 Hyundai Heavy with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hyundai Heavy and Dow Jones.
Diversification Opportunities for Hyundai Heavy and Dow Jones
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Hyundai and Dow is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Hyundai Heavy Industries and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Hyundai Heavy 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 Hyundai Heavy Industries are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Hyundai Heavy i.e., Hyundai Heavy and Dow Jones go up and down completely randomly.
Pair Corralation between Hyundai Heavy and Dow Jones
Assuming the 90 days trading horizon Hyundai Heavy Industries is expected to generate 5.2 times more return on investment than Dow Jones. However, Hyundai Heavy is 5.2 times more volatile than Dow Jones Industrial. It trades about 0.14 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.16 per unit of risk. If you would invest 17,790,000 in Hyundai Heavy Industries on September 12, 2024 and sell it today you would earn a total of 5,410,000 from holding Hyundai Heavy Industries or generate 30.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 92.19% |
Values | Daily Returns |
Hyundai Heavy Industries vs. Dow Jones Industrial
Performance |
Timeline |
Hyundai Heavy and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Hyundai Heavy Industries
Pair trading matchups for Hyundai Heavy
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Hyundai Heavy and Dow Jones
The main advantage of trading using opposite Hyundai Heavy and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hyundai Heavy position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.Hyundai Heavy vs. Daewoo Shipbuilding | Hyundai Heavy vs. HJ ShipBuilding Construction | Hyundai Heavy vs. Busan Industrial Co | Hyundai Heavy vs. Busan Ind |
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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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
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