Correlation Between Dongbang Transport and BGF Retail
Can any of the company-specific risk be diversified away by investing in both Dongbang Transport and BGF Retail 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 BGF Retail 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 BGF Retail Co, you can compare the effects of market volatilities on Dongbang Transport and BGF Retail 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 BGF Retail. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dongbang Transport and BGF Retail.
Diversification Opportunities for Dongbang Transport and BGF Retail
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Dongbang and BGF is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Dongbang Transport Logistics and BGF Retail Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BGF Retail 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 BGF Retail. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BGF Retail has no effect on the direction of Dongbang Transport i.e., Dongbang Transport and BGF Retail go up and down completely randomly.
Pair Corralation between Dongbang Transport and BGF Retail
Assuming the 90 days trading horizon Dongbang Transport Logistics is expected to generate 0.82 times more return on investment than BGF Retail. However, Dongbang Transport Logistics is 1.22 times less risky than BGF Retail. It trades about 0.17 of its potential returns per unit of risk. BGF Retail Co is currently generating about 0.07 per unit of risk. If you would invest 218,500 in Dongbang Transport Logistics on October 12, 2024 and sell it today you would earn a total of 9,500 from holding Dongbang Transport Logistics or generate 4.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Dongbang Transport Logistics vs. BGF Retail Co
Performance |
Timeline |
Dongbang Transport |
BGF Retail |
Dongbang Transport and BGF Retail Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dongbang Transport and BGF Retail
The main advantage of trading using opposite Dongbang Transport and BGF Retail positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dongbang Transport position performs unexpectedly, BGF Retail 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 BGF Retail will offset losses from the drop in BGF Retail's long position.Dongbang Transport vs. Sajo Seafood | Dongbang Transport vs. DONGKUK TED METAL | Dongbang Transport vs. Osang Healthcare Co,Ltd | Dongbang Transport vs. Chorokbaem Healthcare 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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