Correlation Between DB Financial and CJ Seafood
Can any of the company-specific risk be diversified away by investing in both DB Financial and CJ Seafood 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 CJ Seafood 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 CJ Seafood Corp, you can compare the effects of market volatilities on DB Financial and CJ Seafood 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 CJ Seafood. Check out your portfolio center. Please also check ongoing floating volatility patterns of DB Financial and CJ Seafood.
Diversification Opportunities for DB Financial and CJ Seafood
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between 016610 and 011155 is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding DB Financial Investment and CJ Seafood Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CJ Seafood Corp 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 CJ Seafood. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CJ Seafood Corp has no effect on the direction of DB Financial i.e., DB Financial and CJ Seafood go up and down completely randomly.
Pair Corralation between DB Financial and CJ Seafood
Assuming the 90 days trading horizon DB Financial is expected to generate 11.73 times less return on investment than CJ Seafood. But when comparing it to its historical volatility, DB Financial Investment is 4.86 times less risky than CJ Seafood. It trades about 0.01 of its potential returns per unit of risk. CJ Seafood Corp is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 1,790,000 in CJ Seafood Corp on October 25, 2024 and sell it today you would lose (47,000) from holding CJ Seafood Corp or give up 2.63% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
DB Financial Investment vs. CJ Seafood Corp
Performance |
Timeline |
DB Financial Investment |
CJ Seafood Corp |
DB Financial and CJ Seafood Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DB Financial and CJ Seafood
The main advantage of trading using opposite DB Financial and CJ Seafood positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DB Financial position performs unexpectedly, CJ Seafood 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 CJ Seafood will offset losses from the drop in CJ Seafood's long position.DB Financial vs. Korea Shipbuilding Offshore | DB Financial vs. LG Household Healthcare | DB Financial vs. Mobile Appliance | DB Financial vs. InnoTherapy |
CJ Seafood vs. Daewon Media Co | CJ Seafood vs. Barunson Entertainment Arts | CJ Seafood vs. LG Household Healthcare | CJ Seafood vs. Nable Communications |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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