Correlation Between Choil Aluminum and Dongkuk Structures
Can any of the company-specific risk be diversified away by investing in both Choil Aluminum and Dongkuk Structures 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 Choil Aluminum and Dongkuk Structures into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Choil Aluminum and Dongkuk Structures Construction, you can compare the effects of market volatilities on Choil Aluminum and Dongkuk Structures 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 Choil Aluminum with a short position of Dongkuk Structures. Check out your portfolio center. Please also check ongoing floating volatility patterns of Choil Aluminum and Dongkuk Structures.
Diversification Opportunities for Choil Aluminum and Dongkuk Structures
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Choil and Dongkuk is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Choil Aluminum and Dongkuk Structures Constructio in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dongkuk Structures and Choil Aluminum 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 Choil Aluminum are associated (or correlated) with Dongkuk Structures. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dongkuk Structures has no effect on the direction of Choil Aluminum i.e., Choil Aluminum and Dongkuk Structures go up and down completely randomly.
Pair Corralation between Choil Aluminum and Dongkuk Structures
Assuming the 90 days trading horizon Choil Aluminum is expected to generate 1.32 times more return on investment than Dongkuk Structures. However, Choil Aluminum is 1.32 times more volatile than Dongkuk Structures Construction. It trades about -0.01 of its potential returns per unit of risk. Dongkuk Structures Construction is currently generating about -0.05 per unit of risk. If you would invest 223,500 in Choil Aluminum on October 27, 2024 and sell it today you would lose (73,700) from holding Choil Aluminum or give up 32.98% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Choil Aluminum vs. Dongkuk Structures Constructio
Performance |
Timeline |
Choil Aluminum |
Dongkuk Structures |
Choil Aluminum and Dongkuk Structures Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Choil Aluminum and Dongkuk Structures
The main advantage of trading using opposite Choil Aluminum and Dongkuk Structures positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Choil Aluminum position performs unexpectedly, Dongkuk Structures 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 Dongkuk Structures will offset losses from the drop in Dongkuk Structures' long position.Choil Aluminum vs. Dgb Financial | Choil Aluminum vs. KPX Green Chemical | Choil Aluminum vs. FOODWELL Co | Choil Aluminum vs. OE Solutions Co |
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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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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