Correlation Between Kukdong Oil and LG Household
Can any of the company-specific risk be diversified away by investing in both Kukdong Oil and LG Household 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 Kukdong Oil and LG Household into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kukdong Oil Chemicals and LG Household Healthcare, you can compare the effects of market volatilities on Kukdong Oil and LG Household 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 Kukdong Oil with a short position of LG Household. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kukdong Oil and LG Household.
Diversification Opportunities for Kukdong Oil and LG Household
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Kukdong and 051905 is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Kukdong Oil Chemicals and LG Household Healthcare in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LG Household Healthcare and Kukdong Oil 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 Kukdong Oil Chemicals are associated (or correlated) with LG Household. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LG Household Healthcare has no effect on the direction of Kukdong Oil i.e., Kukdong Oil and LG Household go up and down completely randomly.
Pair Corralation between Kukdong Oil and LG Household
Assuming the 90 days trading horizon Kukdong Oil Chemicals is expected to generate 1.26 times more return on investment than LG Household. However, Kukdong Oil is 1.26 times more volatile than LG Household Healthcare. It trades about 0.0 of its potential returns per unit of risk. LG Household Healthcare is currently generating about -0.12 per unit of risk. If you would invest 353,701 in Kukdong Oil Chemicals on October 6, 2024 and sell it today you would lose (1,201) from holding Kukdong Oil Chemicals or give up 0.34% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Kukdong Oil Chemicals vs. LG Household Healthcare
Performance |
Timeline |
Kukdong Oil Chemicals |
LG Household Healthcare |
Kukdong Oil and LG Household Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kukdong Oil and LG Household
The main advantage of trading using opposite Kukdong Oil and LG Household positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kukdong Oil position performs unexpectedly, LG Household 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 LG Household will offset losses from the drop in LG Household's long position.Kukdong Oil vs. ITM Semiconductor Co | Kukdong Oil vs. Iljin Display | Kukdong Oil vs. Jeju Semiconductor Corp | Kukdong Oil vs. BIT Computer Co |
LG Household vs. LG Household Healthcare | LG Household vs. Mirae Asset No2 | LG Household vs. Aekyung Industrial Co | LG Household 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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