Correlation Between Daejung Chemicals and Doosan Fuel
Can any of the company-specific risk be diversified away by investing in both Daejung Chemicals and Doosan Fuel 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 Daejung Chemicals and Doosan Fuel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daejung Chemicals Metals and Doosan Fuel Cell, you can compare the effects of market volatilities on Daejung Chemicals and Doosan Fuel 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 Daejung Chemicals with a short position of Doosan Fuel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daejung Chemicals and Doosan Fuel.
Diversification Opportunities for Daejung Chemicals and Doosan Fuel
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Daejung and Doosan is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Daejung Chemicals Metals and Doosan Fuel Cell in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Doosan Fuel Cell and Daejung Chemicals 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 Daejung Chemicals Metals are associated (or correlated) with Doosan Fuel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Doosan Fuel Cell has no effect on the direction of Daejung Chemicals i.e., Daejung Chemicals and Doosan Fuel go up and down completely randomly.
Pair Corralation between Daejung Chemicals and Doosan Fuel
Assuming the 90 days trading horizon Daejung Chemicals Metals is expected to generate 0.71 times more return on investment than Doosan Fuel. However, Daejung Chemicals Metals is 1.4 times less risky than Doosan Fuel. It trades about -0.01 of its potential returns per unit of risk. Doosan Fuel Cell is currently generating about -0.01 per unit of risk. If you would invest 1,329,842 in Daejung Chemicals Metals on October 23, 2024 and sell it today you would lose (23,842) from holding Daejung Chemicals Metals or give up 1.79% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.39% |
Values | Daily Returns |
Daejung Chemicals Metals vs. Doosan Fuel Cell
Performance |
Timeline |
Daejung Chemicals Metals |
Doosan Fuel Cell |
Daejung Chemicals and Doosan Fuel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daejung Chemicals and Doosan Fuel
The main advantage of trading using opposite Daejung Chemicals and Doosan Fuel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daejung Chemicals position performs unexpectedly, Doosan Fuel 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 Doosan Fuel will offset losses from the drop in Doosan Fuel's long position.Daejung Chemicals vs. Seoul Electronics Telecom | Daejung Chemicals vs. Yura Tech Co | Daejung Chemicals vs. Narae Nanotech Corp | Daejung Chemicals vs. FNSTech Co |
Doosan Fuel vs. SM Entertainment Co | Doosan Fuel vs. Pan Entertainment Co | Doosan Fuel vs. TJ media Co | Doosan Fuel vs. MEDIANA CoLtd |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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