Correlation Between Sejong Telecom and Kukdong Oil
Can any of the company-specific risk be diversified away by investing in both Sejong Telecom 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 Sejong Telecom and Kukdong Oil into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sejong Telecom and Kukdong Oil Chemicals, you can compare the effects of market volatilities on Sejong Telecom 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 Sejong Telecom with a short position of Kukdong Oil. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sejong Telecom and Kukdong Oil.
Diversification Opportunities for Sejong Telecom and Kukdong Oil
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Sejong and Kukdong is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Sejong Telecom 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 Sejong Telecom 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 Sejong Telecom 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 Sejong Telecom i.e., Sejong Telecom and Kukdong Oil go up and down completely randomly.
Pair Corralation between Sejong Telecom and Kukdong Oil
Assuming the 90 days trading horizon Sejong Telecom is expected to under-perform the Kukdong Oil. In addition to that, Sejong Telecom is 1.66 times more volatile than Kukdong Oil Chemicals. It trades about -0.44 of its total potential returns per unit of risk. Kukdong Oil Chemicals is currently generating about -0.25 per unit of volatility. If you would invest 372,500 in Kukdong Oil Chemicals on September 3, 2024 and sell it today you would lose (14,500) from holding Kukdong Oil Chemicals or give up 3.89% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Sejong Telecom vs. Kukdong Oil Chemicals
Performance |
| Timeline |
| Sejong Telecom |
| Kukdong Oil Chemicals |
Sejong Telecom and Kukdong Oil Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Sejong Telecom and Kukdong Oil
The main advantage of trading using opposite Sejong Telecom and Kukdong Oil positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sejong Telecom 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.| Sejong Telecom vs. Sam Chun Dang | Sejong Telecom vs. SAMRYOONG CoLtd | Sejong Telecom vs. BYON Co | Sejong Telecom vs. Sangsangin Co |
| Kukdong Oil vs. PJ Metal Co | Kukdong Oil vs. Homecast CoLtd | Kukdong Oil vs. Sungmoon Electronics Co | Kukdong Oil vs. LG Electronics |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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