Correlation Between LG Electronics and JC Chemical
Can any of the company-specific risk be diversified away by investing in both LG Electronics and JC Chemical 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 Electronics and JC Chemical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LG Electronics and JC Chemical Co, you can compare the effects of market volatilities on LG Electronics and JC Chemical 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 Electronics with a short position of JC Chemical. Check out your portfolio center. Please also check ongoing floating volatility patterns of LG Electronics and JC Chemical.
Diversification Opportunities for LG Electronics and JC Chemical
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between 066570 and 137950 is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding LG Electronics and JC Chemical Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JC Chemical and LG Electronics 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 Electronics are associated (or correlated) with JC Chemical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of JC Chemical has no effect on the direction of LG Electronics i.e., LG Electronics and JC Chemical go up and down completely randomly.
Pair Corralation between LG Electronics and JC Chemical
Assuming the 90 days trading horizon LG Electronics is expected to generate 0.36 times more return on investment than JC Chemical. However, LG Electronics is 2.79 times less risky than JC Chemical. It trades about 0.01 of its potential returns per unit of risk. JC Chemical Co is currently generating about -0.15 per unit of risk. If you would invest 8,950,000 in LG Electronics on September 1, 2024 and sell it today you would earn a total of 20,000 from holding LG Electronics or generate 0.22% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
LG Electronics vs. JC Chemical Co
Performance |
| Timeline |
| LG Electronics |
| JC Chemical |
LG Electronics and JC Chemical Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with LG Electronics and JC Chemical
The main advantage of trading using opposite LG Electronics and JC Chemical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LG Electronics position performs unexpectedly, JC Chemical 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 JC Chemical will offset losses from the drop in JC Chemical's long position.| LG Electronics vs. AptaBio Therapeutics | LG Electronics vs. Daewoo SBI SPAC | LG Electronics vs. Dream Security co | LG Electronics vs. Microfriend |
| JC Chemical vs. Korea Information Engineering | JC Chemical vs. DataSolution | JC Chemical vs. Cube Entertainment | JC Chemical vs. SCI Information Service |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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