Correlation Between Dongbang Ship and Jeju Beer
Can any of the company-specific risk be diversified away by investing in both Dongbang Ship and Jeju Beer 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 Dongbang Ship and Jeju Beer into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dongbang Ship Machinery and Jeju Beer Co, you can compare the effects of market volatilities on Dongbang Ship and Jeju Beer 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 Dongbang Ship with a short position of Jeju Beer. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dongbang Ship and Jeju Beer.
Diversification Opportunities for Dongbang Ship and Jeju Beer
-0.38 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Dongbang and Jeju is -0.38. Overlapping area represents the amount of risk that can be diversified away by holding Dongbang Ship Machinery and Jeju Beer Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jeju Beer and Dongbang Ship 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 Dongbang Ship Machinery are associated (or correlated) with Jeju Beer. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jeju Beer has no effect on the direction of Dongbang Ship i.e., Dongbang Ship and Jeju Beer go up and down completely randomly.
Pair Corralation between Dongbang Ship and Jeju Beer
Assuming the 90 days trading horizon Dongbang Ship Machinery is expected to generate 0.82 times more return on investment than Jeju Beer. However, Dongbang Ship Machinery is 1.22 times less risky than Jeju Beer. It trades about 0.22 of its potential returns per unit of risk. Jeju Beer Co is currently generating about -0.16 per unit of risk. If you would invest 313,000 in Dongbang Ship Machinery on October 25, 2024 and sell it today you would earn a total of 28,500 from holding Dongbang Ship Machinery or generate 9.11% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Dongbang Ship Machinery vs. Jeju Beer Co
Performance |
| Timeline |
| Dongbang Ship Machinery |
| Jeju Beer |
Dongbang Ship and Jeju Beer Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Dongbang Ship and Jeju Beer
The main advantage of trading using opposite Dongbang Ship and Jeju Beer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dongbang Ship position performs unexpectedly, Jeju Beer 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 Jeju Beer will offset losses from the drop in Jeju Beer's long position.| Dongbang Ship vs. Samsung Electronics Co | Dongbang Ship vs. Samsung Electronics Co | Dongbang Ship vs. KB Financial Group | Dongbang Ship vs. Shinhan Financial Group |
| Jeju Beer vs. AptaBio Therapeutics | Jeju Beer vs. Daewoo SBI SPAC | Jeju Beer vs. Dream Security co | Jeju Beer vs. Microfriend |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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