Correlation Between Lotte Non and Kukdong Oil
Can any of the company-specific risk be diversified away by investing in both Lotte Non and Kukdong Oil 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 Lotte Non and Kukdong Oil into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lotte Non Life Insurance and Kukdong Oil Chemicals, you can compare the effects of market volatilities on Lotte Non and Kukdong Oil 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 Lotte Non with a short position of Kukdong Oil. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Non and Kukdong Oil.
Diversification Opportunities for Lotte Non and Kukdong Oil
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Lotte and Kukdong is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Non Life Insurance and Kukdong Oil Chemicals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kukdong Oil Chemicals and Lotte Non 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 Lotte Non Life Insurance are associated (or correlated) with Kukdong Oil. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kukdong Oil Chemicals has no effect on the direction of Lotte Non i.e., Lotte Non and Kukdong Oil go up and down completely randomly.
Pair Corralation between Lotte Non and Kukdong Oil
Assuming the 90 days trading horizon Lotte Non Life Insurance is expected to under-perform the Kukdong Oil. In addition to that, Lotte Non is 3.49 times more volatile than Kukdong Oil Chemicals. It trades about -0.08 of its total potential returns per unit of risk. Kukdong Oil Chemicals is currently generating about -0.23 per unit of volatility. If you would invest 350,000 in Kukdong Oil Chemicals on November 1, 2024 and sell it today you would lose (5,500) from holding Kukdong Oil Chemicals or give up 1.57% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Lotte Non Life Insurance vs. Kukdong Oil Chemicals
Performance |
| Timeline |
| Lotte Non Life |
| Kukdong Oil Chemicals |
Lotte Non and Kukdong Oil Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Lotte Non and Kukdong Oil
The main advantage of trading using opposite Lotte Non and Kukdong Oil positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Non position performs unexpectedly, Kukdong Oil 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 Kukdong Oil will offset losses from the drop in Kukdong Oil's long position.| Lotte Non vs. Shinhan Inverse Silver | Lotte Non vs. Digital Power Communications | Lotte Non vs. Hanjin Transportation Co | Lotte Non vs. Dongbang Transport Logistics |
| Kukdong Oil vs. Samsung Publishing Co | Kukdong Oil vs. Lotte Non Life Insurance | Kukdong Oil vs. DB Insurance Co | Kukdong Oil vs. Hankuk Steel Wire |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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