Correlation Between Pungguk Ethanol and LG Household
Can any of the company-specific risk be diversified away by investing in both Pungguk Ethanol 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 Pungguk Ethanol and LG Household into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pungguk Ethanol Industrial and LG Household Healthcare, you can compare the effects of market volatilities on Pungguk Ethanol 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 Pungguk Ethanol with a short position of LG Household. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pungguk Ethanol and LG Household.
Diversification Opportunities for Pungguk Ethanol and LG Household
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Pungguk and 051905 is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Pungguk Ethanol Industrial 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 Pungguk Ethanol 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 Pungguk Ethanol Industrial 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 Pungguk Ethanol i.e., Pungguk Ethanol and LG Household go up and down completely randomly.
Pair Corralation between Pungguk Ethanol and LG Household
Assuming the 90 days trading horizon Pungguk Ethanol Industrial is expected to generate 0.39 times more return on investment than LG Household. However, Pungguk Ethanol Industrial is 2.57 times less risky than LG Household. It trades about -0.16 of its potential returns per unit of risk. LG Household Healthcare is currently generating about -0.1 per unit of risk. If you would invest 1,010,000 in Pungguk Ethanol Industrial on September 1, 2024 and sell it today you would lose (23,000) from holding Pungguk Ethanol Industrial or give up 2.28% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Pungguk Ethanol Industrial vs. LG Household Healthcare
Performance |
Timeline |
Pungguk Ethanol Indu |
LG Household Healthcare |
Pungguk Ethanol and LG Household Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pungguk Ethanol and LG Household
The main advantage of trading using opposite Pungguk Ethanol and LG Household positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pungguk Ethanol 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.Pungguk Ethanol vs. Korea Real Estate | Pungguk Ethanol vs. Korea Ratings Co | Pungguk Ethanol vs. IQuest Co | Pungguk Ethanol vs. Wonbang Tech Co |
LG Household vs. LG Household Healthcare | LG Household vs. Mirae Asset No2 | 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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