Correlation Between Daejung Chemicals and LG Uplus
Can any of the company-specific risk be diversified away by investing in both Daejung Chemicals and LG Uplus 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 Daejung Chemicals and LG Uplus into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daejung Chemicals Metals and LG Uplus, you can compare the effects of market volatilities on Daejung Chemicals and LG Uplus 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 Daejung Chemicals with a short position of LG Uplus. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daejung Chemicals and LG Uplus.
Diversification Opportunities for Daejung Chemicals and LG Uplus
-0.25 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Daejung and 032640 is -0.25. Overlapping area represents the amount of risk that can be diversified away by holding Daejung Chemicals Metals and LG Uplus in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LG Uplus and Daejung Chemicals 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 Daejung Chemicals Metals are associated (or correlated) with LG Uplus. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LG Uplus has no effect on the direction of Daejung Chemicals i.e., Daejung Chemicals and LG Uplus go up and down completely randomly.
Pair Corralation between Daejung Chemicals and LG Uplus
Assuming the 90 days trading horizon Daejung Chemicals Metals is expected to under-perform the LG Uplus. But the stock apears to be less risky and, when comparing its historical volatility, Daejung Chemicals Metals is 1.16 times less risky than LG Uplus. The stock trades about -0.04 of its potential returns per unit of risk. The LG Uplus is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 994,455 in LG Uplus on December 30, 2024 and sell it today you would earn a total of 42,545 from holding LG Uplus or generate 4.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Daejung Chemicals Metals vs. LG Uplus
Performance |
Timeline |
Daejung Chemicals Metals |
LG Uplus |
Daejung Chemicals and LG Uplus Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daejung Chemicals and LG Uplus
The main advantage of trading using opposite Daejung Chemicals and LG Uplus positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daejung Chemicals position performs unexpectedly, LG Uplus 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 Uplus will offset losses from the drop in LG Uplus' long position.Daejung Chemicals vs. Vitzro Tech Co | Daejung Chemicals vs. SS TECH | Daejung Chemicals vs. MS Autotech CoLtd | Daejung Chemicals vs. Handok Clean Tech |
LG Uplus vs. Foodnamoo | LG Uplus vs. Korea Petro Chemical | LG Uplus vs. Hanwha Chemical Corp | LG Uplus vs. Hyosung Chemical Corp |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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