Correlation Between Sungmoon Electronics and LG Household
Can any of the company-specific risk be diversified away by investing in both Sungmoon Electronics 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 Sungmoon Electronics and LG Household into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sungmoon Electronics Co and LG Household Healthcare, you can compare the effects of market volatilities on Sungmoon Electronics 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 Sungmoon Electronics with a short position of LG Household. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sungmoon Electronics and LG Household.
Diversification Opportunities for Sungmoon Electronics and LG Household
0.14 | Correlation Coefficient |
Average diversification
The 3 months correlation between Sungmoon and 051905 is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding Sungmoon Electronics 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 Sungmoon Electronics 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 Sungmoon Electronics 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 Sungmoon Electronics i.e., Sungmoon Electronics and LG Household go up and down completely randomly.
Pair Corralation between Sungmoon Electronics and LG Household
Assuming the 90 days trading horizon Sungmoon Electronics Co is expected to generate 1.87 times more return on investment than LG Household. However, Sungmoon Electronics is 1.87 times more volatile than LG Household Healthcare. It trades about -0.01 of its potential returns per unit of risk. LG Household Healthcare is currently generating about -0.07 per unit of risk. If you would invest 823,000 in Sungmoon Electronics Co on October 27, 2024 and sell it today you would lose (361,000) from holding Sungmoon Electronics Co or give up 43.86% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Sungmoon Electronics Co vs. LG Household Healthcare
Performance |
Timeline |
Sungmoon Electronics |
LG Household Healthcare |
Sungmoon Electronics and LG Household Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sungmoon Electronics and LG Household
The main advantage of trading using opposite Sungmoon Electronics and LG Household positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sungmoon Electronics 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.Sungmoon Electronics vs. Sangsin Energy Display | Sungmoon Electronics vs. Hana Financial | Sungmoon Electronics vs. Dgb Financial | Sungmoon Electronics vs. Inzi Display 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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