Correlation Between Kukil Metal and LG Household
Can any of the company-specific risk be diversified away by investing in both Kukil Metal 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 Kukil Metal and LG Household into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kukil Metal Co and LG Household Healthcare, you can compare the effects of market volatilities on Kukil Metal 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 Kukil Metal with a short position of LG Household. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kukil Metal and LG Household.
Diversification Opportunities for Kukil Metal and LG Household
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Kukil and 051900 is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding Kukil Metal Co 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 Kukil Metal 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 Kukil Metal Co 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 Kukil Metal i.e., Kukil Metal and LG Household go up and down completely randomly.
Pair Corralation between Kukil Metal and LG Household
Assuming the 90 days trading horizon Kukil Metal Co is expected to under-perform the LG Household. But the stock apears to be less risky and, when comparing its historical volatility, Kukil Metal Co is 1.43 times less risky than LG Household. The stock trades about -0.01 of its potential returns per unit of risk. The LG Household Healthcare is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 31,200,000 in LG Household Healthcare on December 24, 2024 and sell it today you would earn a total of 1,450,000 from holding LG Household Healthcare or generate 4.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kukil Metal Co vs. LG Household Healthcare
Performance |
Timeline |
Kukil Metal |
LG Household Healthcare |
Kukil Metal and LG Household Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kukil Metal and LG Household
The main advantage of trading using opposite Kukil Metal and LG Household positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kukil Metal 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.Kukil Metal vs. Samyung Trading Co | Kukil Metal vs. Stic Investments | Kukil Metal vs. Sangsangin Investment Securities | Kukil Metal vs. Leeno Industrial |
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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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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