Correlation Between I-Components and LG Chem
Can any of the company-specific risk be diversified away by investing in both I-Components 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 I-Components and LG Chem into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between i Components Co and LG Chem, you can compare the effects of market volatilities on I-Components 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 I-Components with a short position of LG Chem. Check out your portfolio center. Please also check ongoing floating volatility patterns of I-Components and LG Chem.
Diversification Opportunities for I-Components and LG Chem
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between I-Components and 051915 is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding i Components Co and LG Chem in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LG Chem and I-Components 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 i Components Co 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 I-Components i.e., I-Components and LG Chem go up and down completely randomly.
Pair Corralation between I-Components and LG Chem
Assuming the 90 days trading horizon i Components Co is expected to generate 0.24 times more return on investment than LG Chem. However, i Components Co is 4.22 times less risky than LG Chem. It trades about 0.15 of its potential returns per unit of risk. LG Chem is currently generating about -0.41 per unit of risk. If you would invest 460,000 in i Components Co on September 26, 2024 and sell it today you would earn a total of 10,500 from holding i Components Co or generate 2.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
i Components Co vs. LG Chem
Performance |
Timeline |
i Components |
LG Chem |
I-Components and LG Chem Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with I-Components and LG Chem
The main advantage of trading using opposite I-Components and LG Chem positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if I-Components 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.I-Components vs. Samsung Electronics Co | I-Components vs. Samsung Electronics Co | I-Components vs. LG Energy Solution | I-Components vs. SK Hynix |
LG Chem vs. Chunbo Co | LG Chem vs. DukSan Neolux CoLtd | LG Chem vs. Hyosung Chemical Corp | LG Chem vs. Sukgyung AT 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
Other Complementary Tools
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Money Managers Screen money managers from public funds and ETFs managed around the world | |
Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |