Correlation Between LG Chemicals and DAEMO Engineering
Can any of the company-specific risk be diversified away by investing in both LG Chemicals and DAEMO Engineering 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 LG Chemicals and DAEMO Engineering into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LG Chemicals and DAEMO Engineering Co, you can compare the effects of market volatilities on LG Chemicals and DAEMO Engineering 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 LG Chemicals with a short position of DAEMO Engineering. Check out your portfolio center. Please also check ongoing floating volatility patterns of LG Chemicals and DAEMO Engineering.
Diversification Opportunities for LG Chemicals and DAEMO Engineering
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between 051910 and DAEMO is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding LG Chemicals and DAEMO Engineering Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DAEMO Engineering and LG 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 LG Chemicals are associated (or correlated) with DAEMO Engineering. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DAEMO Engineering has no effect on the direction of LG Chemicals i.e., LG Chemicals and DAEMO Engineering go up and down completely randomly.
Pair Corralation between LG Chemicals and DAEMO Engineering
Assuming the 90 days trading horizon LG Chemicals is expected to under-perform the DAEMO Engineering. But the stock apears to be less risky and, when comparing its historical volatility, LG Chemicals is 2.11 times less risky than DAEMO Engineering. The stock trades about -0.16 of its potential returns per unit of risk. The DAEMO Engineering Co is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 965,000 in DAEMO Engineering Co on August 29, 2024 and sell it today you would earn a total of 48,000 from holding DAEMO Engineering Co or generate 4.97% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
LG Chemicals vs. DAEMO Engineering Co
Performance |
| Timeline |
| LG Chemicals |
| DAEMO Engineering |
LG Chemicals and DAEMO Engineering Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with LG Chemicals and DAEMO Engineering
The main advantage of trading using opposite LG Chemicals and DAEMO Engineering positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LG Chemicals position performs unexpectedly, DAEMO Engineering 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 DAEMO Engineering will offset losses from the drop in DAEMO Engineering's long position.| LG Chemicals vs. POSCO Holdings | LG Chemicals vs. Hanwha Solutions | LG Chemicals vs. Lotte Chemical Corp | LG Chemicals vs. Hyundai Steel |
| DAEMO Engineering vs. Nable Communications | DAEMO Engineering vs. Namhwa Industrial Co | DAEMO Engineering vs. Shinsegae Information Communication | DAEMO Engineering vs. PJ Metal Co |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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