Correlation Between DB Financial and Seoul Food
Can any of the company-specific risk be diversified away by investing in both DB Financial and Seoul Food 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 DB Financial and Seoul Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DB Financial Investment and Seoul Food Industrial, you can compare the effects of market volatilities on DB Financial and Seoul Food 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 DB Financial with a short position of Seoul Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of DB Financial and Seoul Food.
Diversification Opportunities for DB Financial and Seoul Food
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between 016610 and Seoul is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding DB Financial Investment and Seoul Food Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Seoul Food Industrial and DB Financial 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 DB Financial Investment are associated (or correlated) with Seoul Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Seoul Food Industrial has no effect on the direction of DB Financial i.e., DB Financial and Seoul Food go up and down completely randomly.
Pair Corralation between DB Financial and Seoul Food
Assuming the 90 days trading horizon DB Financial Investment is expected to generate 1.74 times more return on investment than Seoul Food. However, DB Financial is 1.74 times more volatile than Seoul Food Industrial. It trades about 0.08 of its potential returns per unit of risk. Seoul Food Industrial is currently generating about -0.08 per unit of risk. If you would invest 366,664 in DB Financial Investment on September 12, 2024 and sell it today you would earn a total of 153,336 from holding DB Financial Investment or generate 41.82% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
DB Financial Investment vs. Seoul Food Industrial
Performance |
| Timeline |
| DB Financial Investment |
| Seoul Food Industrial |
DB Financial and Seoul Food Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with DB Financial and Seoul Food
The main advantage of trading using opposite DB Financial and Seoul Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DB Financial position performs unexpectedly, Seoul Food 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 Seoul Food will offset losses from the drop in Seoul Food's long position.| DB Financial vs. KB Financial Group | DB Financial vs. Shinhan Financial Group | DB Financial vs. Hana Financial | DB Financial vs. Woori Financial Group |
| Seoul Food vs. Playgram Co | Seoul Food vs. ChipsMedia | Seoul Food vs. Alton Sports CoLtd | Seoul Food vs. Seoul Broadcasting System |
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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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