Correlation Between Lotte Data and Kukdong Oil
Can any of the company-specific risk be diversified away by investing in both Lotte Data 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 Data 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 Data Communication and Kukdong Oil Chemicals, you can compare the effects of market volatilities on Lotte Data 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 Data with a short position of Kukdong Oil. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Data and Kukdong Oil.
Diversification Opportunities for Lotte Data and Kukdong Oil
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Lotte and Kukdong is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Data Communication 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 Data 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 Data Communication 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 Data i.e., Lotte Data and Kukdong Oil go up and down completely randomly.
Pair Corralation between Lotte Data and Kukdong Oil
Assuming the 90 days trading horizon Lotte Data Communication is expected to under-perform the Kukdong Oil. In addition to that, Lotte Data is 1.02 times more volatile than Kukdong Oil Chemicals. It trades about 0.0 of its total potential returns per unit of risk. Kukdong Oil Chemicals is currently generating about 0.01 per unit of volatility. If you would invest 349,187 in Kukdong Oil Chemicals on October 22, 2024 and sell it today you would lose (1,687) from holding Kukdong Oil Chemicals or give up 0.48% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Lotte Data Communication vs. Kukdong Oil Chemicals
Performance |
Timeline |
Lotte Data Communication |
Kukdong Oil Chemicals |
Lotte Data and Kukdong Oil Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lotte Data and Kukdong Oil
The main advantage of trading using opposite Lotte Data and Kukdong Oil positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Data 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 Data vs. Stic Investments | Lotte Data vs. DB Insurance Co | Lotte Data vs. EBEST Investment Securities | Lotte Data vs. Kbi Metal Co |
Kukdong Oil vs. Samlip General Foods | Kukdong Oil vs. iNtRON Biotechnology | Kukdong Oil vs. Cheryong Industrial CoLtd | Kukdong Oil vs. Namhwa Industrial Co |
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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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