Correlation Between Dongbang Transport and FOODWELL
Can any of the company-specific risk be diversified away by investing in both Dongbang Transport and FOODWELL 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 FOODWELL 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 FOODWELL Co, you can compare the effects of market volatilities on Dongbang Transport and FOODWELL 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 FOODWELL. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dongbang Transport and FOODWELL.
Diversification Opportunities for Dongbang Transport and FOODWELL
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Dongbang and FOODWELL is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding Dongbang Transport Logistics and FOODWELL Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FOODWELL 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 FOODWELL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FOODWELL has no effect on the direction of Dongbang Transport i.e., Dongbang Transport and FOODWELL go up and down completely randomly.
Pair Corralation between Dongbang Transport and FOODWELL
Assuming the 90 days trading horizon Dongbang Transport Logistics is expected to under-perform the FOODWELL. In addition to that, Dongbang Transport is 2.06 times more volatile than FOODWELL Co. It trades about -0.09 of its total potential returns per unit of risk. FOODWELL Co is currently generating about 0.06 per unit of volatility. If you would invest 494,141 in FOODWELL Co on September 29, 2024 and sell it today you would earn a total of 9,859 from holding FOODWELL Co or generate 2.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dongbang Transport Logistics vs. FOODWELL Co
Performance |
Timeline |
Dongbang Transport |
FOODWELL |
Dongbang Transport and FOODWELL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dongbang Transport and FOODWELL
The main advantage of trading using opposite Dongbang Transport and FOODWELL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dongbang Transport position performs unexpectedly, FOODWELL 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 FOODWELL will offset losses from the drop in FOODWELL's long position.Dongbang Transport vs. Sangshin Electronics Co | Dongbang Transport vs. Automobile Pc | Dongbang Transport vs. Lotte Data Communication | Dongbang Transport vs. UJU Electronics Co |
FOODWELL vs. Pureun Mutual Savings | FOODWELL vs. Miwon Chemical | FOODWELL vs. Youl Chon Chemical | FOODWELL vs. SK Chemicals Co |
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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
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