Correlation Between Doosan Fuel and UNISEM
Can any of the company-specific risk be diversified away by investing in both Doosan Fuel and UNISEM 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 UNISEM 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 UNISEM Co, you can compare the effects of market volatilities on Doosan Fuel and UNISEM 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 UNISEM. Check out your portfolio center. Please also check ongoing floating volatility patterns of Doosan Fuel and UNISEM.
Diversification Opportunities for Doosan Fuel and UNISEM
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Doosan and UNISEM is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Doosan Fuel Cell and UNISEM Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UNISEM 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 UNISEM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UNISEM has no effect on the direction of Doosan Fuel i.e., Doosan Fuel and UNISEM go up and down completely randomly.
Pair Corralation between Doosan Fuel and UNISEM
Assuming the 90 days trading horizon Doosan Fuel Cell is expected to generate 1.49 times more return on investment than UNISEM. However, Doosan Fuel is 1.49 times more volatile than UNISEM Co. It trades about 0.15 of its potential returns per unit of risk. UNISEM Co is currently generating about 0.02 per unit of risk. If you would invest 1,502,000 in Doosan Fuel Cell on September 22, 2024 and sell it today you would earn a total of 213,000 from holding Doosan Fuel Cell or generate 14.18% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.65% |
Values | Daily Returns |
Doosan Fuel Cell vs. UNISEM Co
Performance |
Timeline |
Doosan Fuel Cell |
UNISEM |
Doosan Fuel and UNISEM Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Doosan Fuel and UNISEM
The main advantage of trading using opposite Doosan Fuel and UNISEM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Doosan Fuel position performs unexpectedly, UNISEM 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 UNISEM will offset losses from the drop in UNISEM's long position.The idea behind Doosan Fuel Cell and UNISEM Co pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.UNISEM vs. Dongsin Engineering Construction | UNISEM vs. Doosan Fuel Cell | UNISEM vs. Daishin Balance 1 | UNISEM vs. Total Soft Bank |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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