Correlation Between Dgb Financial and Choil Aluminum
Can any of the company-specific risk be diversified away by investing in both Dgb Financial and Choil Aluminum 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 Dgb Financial and Choil Aluminum into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dgb Financial and Choil Aluminum, you can compare the effects of market volatilities on Dgb Financial and Choil Aluminum 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 Dgb Financial with a short position of Choil Aluminum. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dgb Financial and Choil Aluminum.
Diversification Opportunities for Dgb Financial and Choil Aluminum
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Dgb and Choil is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Dgb Financial and Choil Aluminum in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Choil Aluminum and Dgb Financial 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 Dgb Financial are associated (or correlated) with Choil Aluminum. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Choil Aluminum has no effect on the direction of Dgb Financial i.e., Dgb Financial and Choil Aluminum go up and down completely randomly.
Pair Corralation between Dgb Financial and Choil Aluminum
Assuming the 90 days trading horizon Dgb Financial is expected to generate 0.83 times more return on investment than Choil Aluminum. However, Dgb Financial is 1.2 times less risky than Choil Aluminum. It trades about 0.44 of its potential returns per unit of risk. Choil Aluminum is currently generating about 0.3 per unit of risk. If you would invest 845,000 in Dgb Financial on October 25, 2024 and sell it today you would earn a total of 70,000 from holding Dgb Financial or generate 8.28% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Dgb Financial vs. Choil Aluminum
Performance |
| Timeline |
| Dgb Financial |
| Choil Aluminum |
Dgb Financial and Choil Aluminum Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Dgb Financial and Choil Aluminum
The main advantage of trading using opposite Dgb Financial and Choil Aluminum positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dgb Financial position performs unexpectedly, Choil Aluminum 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 Choil Aluminum will offset losses from the drop in Choil Aluminum's long position.| Dgb Financial vs. Samsung Electronics Co | Dgb Financial vs. Samsung Electronics Co | Dgb Financial vs. SK Hynix | Dgb Financial vs. HMM Co |
| Choil Aluminum vs. NewFlex Technology Co | Choil Aluminum vs. Kbi Metal Co | Choil Aluminum vs. Youngsin Metal Industrial | Choil Aluminum vs. Dongil Metal 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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