Correlation Between Kukdo Chemical and LG Chemicals
Can any of the company-specific risk be diversified away by investing in both Kukdo Chemical 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 Kukdo Chemical and LG Chemicals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kukdo Chemical Co and LG Chemicals, you can compare the effects of market volatilities on Kukdo Chemical 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 Kukdo Chemical with a short position of LG Chemicals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kukdo Chemical and LG Chemicals.
Diversification Opportunities for Kukdo Chemical and LG Chemicals
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Kukdo and 051910 is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Kukdo Chemical Co and LG Chemicals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LG Chemicals and Kukdo Chemical 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 Kukdo Chemical Co 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 Kukdo Chemical i.e., Kukdo Chemical and LG Chemicals go up and down completely randomly.
Pair Corralation between Kukdo Chemical and LG Chemicals
Assuming the 90 days trading horizon Kukdo Chemical Co is expected to generate 0.66 times more return on investment than LG Chemicals. However, Kukdo Chemical Co is 1.51 times less risky than LG Chemicals. It trades about -0.09 of its potential returns per unit of risk. LG Chemicals is currently generating about -0.08 per unit of risk. If you would invest 3,190,000 in Kukdo Chemical Co on September 15, 2024 and sell it today you would lose (345,000) from holding Kukdo Chemical Co or give up 10.82% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Kukdo Chemical Co vs. LG Chemicals
Performance |
Timeline |
Kukdo Chemical |
LG Chemicals |
Kukdo Chemical and LG Chemicals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kukdo Chemical and LG Chemicals
The main advantage of trading using opposite Kukdo Chemical and LG Chemicals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kukdo Chemical 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.Kukdo Chemical vs. Samsung Electronics Co | Kukdo Chemical vs. Samsung Electronics Co | Kukdo Chemical vs. SK Hynix | Kukdo Chemical vs. POSCO Holdings |
LG Chemicals vs. POSCO Holdings | LG Chemicals vs. Hanwha Solutions | LG Chemicals vs. Lotte Chemical Corp | LG Chemicals vs. Hyundai Steel |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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