Correlation Between Daejung Chemicals and LG Chemicals
Can any of the company-specific risk be diversified away by investing in both Daejung Chemicals and LG Chemicals 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 Chemicals 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 Chemicals, you can compare the effects of market volatilities on Daejung Chemicals and LG Chemicals 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 Chemicals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daejung Chemicals and LG Chemicals.
Diversification Opportunities for Daejung Chemicals and LG Chemicals
-0.14 | Correlation Coefficient |
Good diversification
The 3 months correlation between Daejung and 051910 is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding Daejung Chemicals Metals and LG Chemicals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LG Chemicals 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 Chemicals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LG Chemicals has no effect on the direction of Daejung Chemicals i.e., Daejung Chemicals and LG Chemicals go up and down completely randomly.
Pair Corralation between Daejung Chemicals and LG Chemicals
Assuming the 90 days trading horizon Daejung Chemicals Metals is expected to under-perform the LG Chemicals. But the stock apears to be less risky and, when comparing its historical volatility, Daejung Chemicals Metals is 3.48 times less risky than LG Chemicals. The stock trades about -0.04 of its potential returns per unit of risk. The LG Chemicals is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 24,907,100 in LG Chemicals on December 30, 2024 and sell it today you would earn a total of 992,900 from holding LG Chemicals or generate 3.99% 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 Chemicals
Performance |
Timeline |
Daejung Chemicals Metals |
LG Chemicals |
Daejung Chemicals and LG Chemicals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daejung Chemicals and LG Chemicals
The main advantage of trading using opposite Daejung Chemicals and LG Chemicals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daejung Chemicals position performs unexpectedly, LG Chemicals 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 Chemicals will offset losses from the drop in LG Chemicals' 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 |
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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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