Correlation Between Doosan Fuel and Korea Computer
Can any of the company-specific risk be diversified away by investing in both Doosan Fuel and Korea Computer 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 Fuel and Korea Computer into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Doosan Fuel Cell and Korea Computer, you can compare the effects of market volatilities on Doosan Fuel and Korea Computer 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 Fuel with a short position of Korea Computer. Check out your portfolio center. Please also check ongoing floating volatility patterns of Doosan Fuel and Korea Computer.
Diversification Opportunities for Doosan Fuel and Korea Computer
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between Doosan and Korea is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding Doosan Fuel Cell and Korea Computer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Korea Computer and Doosan Fuel 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 Fuel Cell are associated (or correlated) with Korea Computer. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Korea Computer has no effect on the direction of Doosan Fuel i.e., Doosan Fuel and Korea Computer go up and down completely randomly.
Pair Corralation between Doosan Fuel and Korea Computer
Assuming the 90 days trading horizon Doosan Fuel Cell is expected to under-perform the Korea Computer. But the stock apears to be less risky and, when comparing its historical volatility, Doosan Fuel Cell is 1.01 times less risky than Korea Computer. The stock trades about -0.03 of its potential returns per unit of risk. The Korea Computer is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 460,366 in Korea Computer on December 2, 2024 and sell it today you would earn a total of 5,134 from holding Korea Computer or generate 1.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Doosan Fuel Cell vs. Korea Computer
Performance |
Timeline |
Doosan Fuel Cell |
Korea Computer |
Doosan Fuel and Korea Computer Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Doosan Fuel and Korea Computer
The main advantage of trading using opposite Doosan Fuel and Korea Computer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Doosan Fuel position performs unexpectedly, Korea Computer 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 Korea Computer will offset losses from the drop in Korea Computer's long position.Doosan Fuel vs. Eagon Industrial Co | Doosan Fuel vs. Chorokbaem Healthcare Co | Doosan Fuel vs. Songwon Industrial Co | Doosan Fuel vs. Hyunwoo Industrial Co |
Korea Computer vs. Ewon Comfortech Co | Korea Computer vs. Wonbang Tech Co | Korea Computer vs. Namhae Chemical | Korea Computer vs. Dongnam Chemical Co |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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