Correlation Between Doosan Heavy and Green Cross
Can any of the company-specific risk be diversified away by investing in both Doosan Heavy and Green Cross 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 Doosan Heavy and Green Cross into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Doosan Heavy Ind and Green Cross Medical, you can compare the effects of market volatilities on Doosan Heavy and Green Cross 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 Doosan Heavy with a short position of Green Cross. Check out your portfolio center. Please also check ongoing floating volatility patterns of Doosan Heavy and Green Cross.
Diversification Opportunities for Doosan Heavy and Green Cross
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Doosan and Green is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding Doosan Heavy Ind and Green Cross Medical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Green Cross Medical and Doosan 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 Doosan Heavy Ind are associated (or correlated) with Green Cross. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Green Cross Medical has no effect on the direction of Doosan Heavy i.e., Doosan Heavy and Green Cross go up and down completely randomly.
Pair Corralation between Doosan Heavy and Green Cross
Assuming the 90 days trading horizon Doosan Heavy Ind is expected to generate 0.82 times more return on investment than Green Cross. However, Doosan Heavy Ind is 1.22 times less risky than Green Cross. It trades about 0.01 of its potential returns per unit of risk. Green Cross Medical is currently generating about -0.01 per unit of risk. If you would invest 1,715,000 in Doosan Heavy Ind on October 4, 2024 and sell it today you would earn a total of 40,000 from holding Doosan Heavy Ind or generate 2.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Doosan Heavy Ind vs. Green Cross Medical
Performance |
Timeline |
Doosan Heavy Ind |
Green Cross Medical |
Doosan Heavy and Green Cross Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Doosan Heavy and Green Cross
The main advantage of trading using opposite Doosan Heavy and Green Cross positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Doosan Heavy position performs unexpectedly, Green Cross 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 Green Cross will offset losses from the drop in Green Cross' long position.Doosan Heavy vs. Samick Musical Instruments | Doosan Heavy vs. Dongil Metal Co | Doosan Heavy vs. Daejung Chemicals Metals | Doosan Heavy vs. Hankook Furniture Co |
Green Cross vs. Solution Advanced Technology | Green Cross vs. Busan Industrial Co | Green Cross vs. Busan Ind | Green Cross vs. Finebesteel |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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