Correlation Between LG Household and Korea Alcohol
Can any of the company-specific risk be diversified away by investing in both LG Household and Korea Alcohol 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 LG Household and Korea Alcohol into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LG Household Healthcare and Korea Alcohol Industrial, you can compare the effects of market volatilities on LG Household and Korea Alcohol 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 LG Household with a short position of Korea Alcohol. Check out your portfolio center. Please also check ongoing floating volatility patterns of LG Household and Korea Alcohol.
Diversification Opportunities for LG Household and Korea Alcohol
-0.15 | Correlation Coefficient |
Good diversification
The 3 months correlation between 051900 and Korea is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding LG Household Healthcare and Korea Alcohol Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Korea Alcohol Industrial and LG Household 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 LG Household Healthcare are associated (or correlated) with Korea Alcohol. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Korea Alcohol Industrial has no effect on the direction of LG Household i.e., LG Household and Korea Alcohol go up and down completely randomly.
Pair Corralation between LG Household and Korea Alcohol
Assuming the 90 days trading horizon LG Household is expected to generate 2.57 times less return on investment than Korea Alcohol. In addition to that, LG Household is 1.63 times more volatile than Korea Alcohol Industrial. It trades about 0.06 of its total potential returns per unit of risk. Korea Alcohol Industrial is currently generating about 0.24 per unit of volatility. If you would invest 805,636 in Korea Alcohol Industrial on December 24, 2024 and sell it today you would earn a total of 113,364 from holding Korea Alcohol Industrial or generate 14.07% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
LG Household Healthcare vs. Korea Alcohol Industrial
Performance |
Timeline |
LG Household Healthcare |
Korea Alcohol Industrial |
LG Household and Korea Alcohol Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LG Household and Korea Alcohol
The main advantage of trading using opposite LG Household and Korea Alcohol positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LG Household position performs unexpectedly, Korea Alcohol 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 Korea Alcohol will offset losses from the drop in Korea Alcohol's long position.LG Household vs. DB Insurance Co | LG Household vs. Netmarble Games Corp | LG Household vs. iNtRON Biotechnology | LG Household vs. WONIK Materials CoLtd |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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