Correlation Between Daejung Chemicals and LG Chem
Can any of the company-specific risk be diversified away by investing in both Daejung Chemicals and LG Chem 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 Chem 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 Chem, you can compare the effects of market volatilities on Daejung Chemicals and LG Chem 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 Chem. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daejung Chemicals and LG Chem.
Diversification Opportunities for Daejung Chemicals and LG Chem
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Daejung and 051915 is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding Daejung Chemicals Metals and LG Chem in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LG Chem 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 Chem. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LG Chem has no effect on the direction of Daejung Chemicals i.e., Daejung Chemicals and LG Chem go up and down completely randomly.
Pair Corralation between Daejung Chemicals and LG Chem
Assuming the 90 days trading horizon Daejung Chemicals Metals is expected to under-perform the LG Chem. But the stock apears to be less risky and, when comparing its historical volatility, Daejung Chemicals Metals is 1.91 times less risky than LG Chem. The stock trades about -0.21 of its potential returns per unit of risk. The LG Chem is currently generating about -0.07 of returns per unit of risk over similar time horizon. If you would invest 21,800,000 in LG Chem on September 3, 2024 and sell it today you would lose (2,800,000) from holding LG Chem or give up 12.84% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Daejung Chemicals Metals vs. LG Chem
Performance |
Timeline |
Daejung Chemicals Metals |
LG Chem |
Daejung Chemicals and LG Chem Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daejung Chemicals and LG Chem
The main advantage of trading using opposite Daejung Chemicals and LG Chem positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daejung Chemicals position performs unexpectedly, LG Chem 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 Chem will offset losses from the drop in LG Chem's long position.Daejung Chemicals vs. LG Chem | Daejung Chemicals vs. DukSan Neolux CoLtd | Daejung Chemicals vs. Hyosung Chemical Corp | Daejung Chemicals vs. LIG ES SPAC |
LG Chem vs. Daesung Hi Tech Co | LG Chem vs. Dongbang Transport Logistics | LG Chem vs. Iljin Display | LG Chem vs. Nice Information Telecommunication |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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