Correlation Between MEDIPOST and Dongkuk Structures
Can any of the company-specific risk be diversified away by investing in both MEDIPOST 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 MEDIPOST and Dongkuk Structures into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MEDIPOST Co and Dongkuk Structures Construction, you can compare the effects of market volatilities on MEDIPOST 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 MEDIPOST with a short position of Dongkuk Structures. Check out your portfolio center. Please also check ongoing floating volatility patterns of MEDIPOST and Dongkuk Structures.
Diversification Opportunities for MEDIPOST and Dongkuk Structures
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between MEDIPOST and Dongkuk is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding MEDIPOST Co and Dongkuk Structures Constructio in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dongkuk Structures and MEDIPOST 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 MEDIPOST Co 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 MEDIPOST i.e., MEDIPOST and Dongkuk Structures go up and down completely randomly.
Pair Corralation between MEDIPOST and Dongkuk Structures
Assuming the 90 days trading horizon MEDIPOST Co is expected to under-perform the Dongkuk Structures. In addition to that, MEDIPOST is 2.29 times more volatile than Dongkuk Structures Construction. It trades about -0.08 of its total potential returns per unit of risk. Dongkuk Structures Construction is currently generating about -0.14 per unit of volatility. If you would invest 242,000 in Dongkuk Structures Construction on December 30, 2024 and sell it today you would lose (35,000) from holding Dongkuk Structures Construction or give up 14.46% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
MEDIPOST Co vs. Dongkuk Structures Constructio
Performance |
Timeline |
MEDIPOST |
Dongkuk Structures |
MEDIPOST and Dongkuk Structures Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MEDIPOST and Dongkuk Structures
The main advantage of trading using opposite MEDIPOST and Dongkuk Structures positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MEDIPOST 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.MEDIPOST vs. Jeju Beer Co | MEDIPOST vs. Kbi Metal Co | MEDIPOST vs. Haitai Confectionery Foods | MEDIPOST vs. Shinil Industrial Co |
Dongkuk Structures vs. Hannong Chemicals | Dongkuk Structures vs. Nice Information Telecommunication | Dongkuk Structures vs. Kg Chemical | Dongkuk Structures vs. Kumho Petro Chemical |
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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