Correlation Between Dongsin Engineering and Doosan Fuel
Can any of the company-specific risk be diversified away by investing in both Dongsin Engineering 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 Dongsin Engineering and Doosan Fuel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dongsin Engineering Construction and Doosan Fuel Cell, you can compare the effects of market volatilities on Dongsin Engineering 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 Dongsin Engineering with a short position of Doosan Fuel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dongsin Engineering and Doosan Fuel.
Diversification Opportunities for Dongsin Engineering and Doosan Fuel
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between Dongsin and Doosan is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Dongsin Engineering Constructi 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 Dongsin Engineering 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 Dongsin Engineering Construction 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 Dongsin Engineering i.e., Dongsin Engineering and Doosan Fuel go up and down completely randomly.
Pair Corralation between Dongsin Engineering and Doosan Fuel
Assuming the 90 days trading horizon Dongsin Engineering Construction is expected to generate 1.71 times more return on investment than Doosan Fuel. However, Dongsin Engineering is 1.71 times more volatile than Doosan Fuel Cell. It trades about 0.03 of its potential returns per unit of risk. Doosan Fuel Cell is currently generating about 0.02 per unit of risk. If you would invest 1,926,000 in Dongsin Engineering Construction on September 2, 2024 and sell it today you would lose (4,000) from holding Dongsin Engineering Construction or give up 0.21% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Dongsin Engineering Constructi vs. Doosan Fuel Cell
Performance |
Timeline |
Dongsin Engineering |
Doosan Fuel Cell |
Dongsin Engineering and Doosan Fuel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dongsin Engineering and Doosan Fuel
The main advantage of trading using opposite Dongsin Engineering and Doosan Fuel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dongsin Engineering 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.Dongsin Engineering vs. Busan Industrial Co | Dongsin Engineering vs. Busan Ind | Dongsin Engineering vs. Mirae Asset Daewoo | Dongsin Engineering vs. Finebesteel |
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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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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