Correlation Between Dongbang Transport and Bookook Steel
Can any of the company-specific risk be diversified away by investing in both Dongbang Transport and Bookook Steel 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 Transport and Bookook Steel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dongbang Transport Logistics and Bookook Steel, you can compare the effects of market volatilities on Dongbang Transport and Bookook Steel 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 Transport with a short position of Bookook Steel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dongbang Transport and Bookook Steel.
Diversification Opportunities for Dongbang Transport and Bookook Steel
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Dongbang and Bookook is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Dongbang Transport Logistics and Bookook Steel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bookook Steel and Dongbang Transport 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 Transport Logistics are associated (or correlated) with Bookook Steel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bookook Steel has no effect on the direction of Dongbang Transport i.e., Dongbang Transport and Bookook Steel go up and down completely randomly.
Pair Corralation between Dongbang Transport and Bookook Steel
Assuming the 90 days trading horizon Dongbang Transport Logistics is expected to under-perform the Bookook Steel. In addition to that, Dongbang Transport is 1.5 times more volatile than Bookook Steel. It trades about -0.11 of its total potential returns per unit of risk. Bookook Steel is currently generating about -0.07 per unit of volatility. If you would invest 253,500 in Bookook Steel on August 31, 2024 and sell it today you would lose (15,500) from holding Bookook Steel or give up 6.11% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.31% |
Values | Daily Returns |
Dongbang Transport Logistics vs. Bookook Steel
Performance |
Timeline |
Dongbang Transport |
Bookook Steel |
Dongbang Transport and Bookook Steel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dongbang Transport and Bookook Steel
The main advantage of trading using opposite Dongbang Transport and Bookook Steel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dongbang Transport position performs unexpectedly, Bookook Steel 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 Bookook Steel will offset losses from the drop in Bookook Steel's long position.Dongbang Transport vs. AptaBio Therapeutics | Dongbang Transport vs. Daewoo SBI SPAC | Dongbang Transport vs. Dream Security co | Dongbang Transport vs. Microfriend |
Bookook Steel vs. Haesung Industrial Co | Bookook Steel vs. Cheryong Industrial CoLtd | Bookook Steel vs. Samsung Life Insurance | Bookook Steel vs. KB Financial Group |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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