Correlation Between Sejong Telecom and LG Household
Can any of the company-specific risk be diversified away by investing in both Sejong Telecom 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 Sejong Telecom and LG Household into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sejong Telecom and LG Household Healthcare, you can compare the effects of market volatilities on Sejong Telecom 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 Sejong Telecom with a short position of LG Household. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sejong Telecom and LG Household.
Diversification Opportunities for Sejong Telecom and LG Household
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Sejong and 051900 is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Sejong Telecom 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 Sejong Telecom 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 Sejong Telecom 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 Sejong Telecom i.e., Sejong Telecom and LG Household go up and down completely randomly.
Pair Corralation between Sejong Telecom and LG Household
Assuming the 90 days trading horizon Sejong Telecom is expected to under-perform the LG Household. But the stock apears to be less risky and, when comparing its historical volatility, Sejong Telecom is 1.61 times less risky than LG Household. The stock trades about -0.3 of its potential returns per unit of risk. The LG Household Healthcare is currently generating about -0.14 of returns per unit of risk over similar time horizon. If you would invest 37,900,000 in LG Household Healthcare on September 28, 2024 and sell it today you would lose (6,950,000) from holding LG Household Healthcare or give up 18.34% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Sejong Telecom vs. LG Household Healthcare
Performance |
Timeline |
Sejong Telecom |
LG Household Healthcare |
Sejong Telecom and LG Household Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sejong Telecom and LG Household
The main advantage of trading using opposite Sejong Telecom and LG Household positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sejong Telecom 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.Sejong Telecom vs. Sam Chun Dang | Sejong Telecom vs. SAMRYOONG CoLtd | Sejong Telecom vs. BYON Co | Sejong Telecom vs. Sangsangin Co |
LG Household vs. Woori Financial Group | LG Household vs. Jb Financial | LG Household vs. Nh Investment And | LG Household vs. Kumho Petro Chemical |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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