Correlation Between CJ Seafood and Korea Ratings
Can any of the company-specific risk be diversified away by investing in both CJ Seafood and Korea Ratings 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 CJ Seafood and Korea Ratings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CJ Seafood Corp and Korea Ratings Co, you can compare the effects of market volatilities on CJ Seafood and Korea Ratings 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 CJ Seafood with a short position of Korea Ratings. Check out your portfolio center. Please also check ongoing floating volatility patterns of CJ Seafood and Korea Ratings.
Diversification Opportunities for CJ Seafood and Korea Ratings
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between 011150 and Korea is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding CJ Seafood Corp and Korea Ratings Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Korea Ratings and CJ Seafood 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 CJ Seafood Corp are associated (or correlated) with Korea Ratings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Korea Ratings has no effect on the direction of CJ Seafood i.e., CJ Seafood and Korea Ratings go up and down completely randomly.
Pair Corralation between CJ Seafood and Korea Ratings
Assuming the 90 days trading horizon CJ Seafood is expected to generate 1.96 times less return on investment than Korea Ratings. In addition to that, CJ Seafood is 1.67 times more volatile than Korea Ratings Co. It trades about 0.02 of its total potential returns per unit of risk. Korea Ratings Co is currently generating about 0.07 per unit of volatility. If you would invest 8,450,330 in Korea Ratings Co on December 24, 2024 and sell it today you would earn a total of 389,670 from holding Korea Ratings Co or generate 4.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
CJ Seafood Corp vs. Korea Ratings Co
Performance |
Timeline |
CJ Seafood Corp |
Korea Ratings |
CJ Seafood and Korea Ratings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CJ Seafood and Korea Ratings
The main advantage of trading using opposite CJ Seafood and Korea Ratings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CJ Seafood position performs unexpectedly, Korea Ratings 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 Korea Ratings will offset losses from the drop in Korea Ratings' long position.CJ Seafood vs. Formetal Co | CJ Seafood vs. Taeyang Metal Industrial | CJ Seafood vs. Seoul Semiconductor Co | CJ Seafood vs. BGF Retail Co |
Korea Ratings vs. Clean Science co | Korea Ratings vs. Wing Yip Food | Korea Ratings vs. Lindeman Asia Investment | Korea Ratings vs. CKH Food Health |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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