Correlation Between CJ Cheiljedang and Lotte Fine
Can any of the company-specific risk be diversified away by investing in both CJ Cheiljedang and Lotte Fine 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 Cheiljedang and Lotte Fine into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CJ Cheiljedang and Lotte Fine Chemical, you can compare the effects of market volatilities on CJ Cheiljedang and Lotte Fine 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 Cheiljedang with a short position of Lotte Fine. Check out your portfolio center. Please also check ongoing floating volatility patterns of CJ Cheiljedang and Lotte Fine.
Diversification Opportunities for CJ Cheiljedang and Lotte Fine
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between 097950 and Lotte is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding CJ Cheiljedang and Lotte Fine Chemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lotte Fine Chemical and CJ Cheiljedang 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 Cheiljedang are associated (or correlated) with Lotte Fine. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lotte Fine Chemical has no effect on the direction of CJ Cheiljedang i.e., CJ Cheiljedang and Lotte Fine go up and down completely randomly.
Pair Corralation between CJ Cheiljedang and Lotte Fine
Assuming the 90 days trading horizon CJ Cheiljedang is expected to under-perform the Lotte Fine. But the stock apears to be less risky and, when comparing its historical volatility, CJ Cheiljedang is 1.38 times less risky than Lotte Fine. The stock trades about -0.36 of its potential returns per unit of risk. The Lotte Fine Chemical is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 3,995,000 in Lotte Fine Chemical on October 25, 2024 and sell it today you would earn a total of 40,000 from holding Lotte Fine Chemical or generate 1.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 95.0% |
| Values | Daily Returns |
CJ Cheiljedang vs. Lotte Fine Chemical
Performance |
| Timeline |
| CJ Cheiljedang |
| Lotte Fine Chemical |
CJ Cheiljedang and Lotte Fine Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with CJ Cheiljedang and Lotte Fine
The main advantage of trading using opposite CJ Cheiljedang and Lotte Fine positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CJ Cheiljedang position performs unexpectedly, Lotte Fine 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 Lotte Fine will offset losses from the drop in Lotte Fine's long position.| CJ Cheiljedang vs. EBEST Investment Securities | CJ Cheiljedang vs. Samyung Trading Co | CJ Cheiljedang vs. Nh Investment And | CJ Cheiljedang vs. SungMoon Electronics Co |
| Lotte Fine vs. SCI Information Service | Lotte Fine vs. ENF Technology Co | Lotte Fine vs. DataSolution | Lotte Fine vs. Daou Technology |
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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