Correlation Between Citigroup and LG Clean
Can any of the company-specific risk be diversified away by investing in both Citigroup and LG Clean 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 Citigroup and LG Clean into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Citigroup and LG Clean Energy, you can compare the effects of market volatilities on Citigroup and LG Clean 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 Citigroup with a short position of LG Clean. Check out your portfolio center. Please also check ongoing floating volatility patterns of Citigroup and LG Clean.
Diversification Opportunities for Citigroup and LG Clean
Excellent diversification
The 3 months correlation between Citigroup and RENW is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding Citigroup and LG Clean Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LG Clean Energy and Citigroup 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 Citigroup are associated (or correlated) with LG Clean. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LG Clean Energy has no effect on the direction of Citigroup i.e., Citigroup and LG Clean go up and down completely randomly.
Pair Corralation between Citigroup and LG Clean
Taking into account the 90-day investment horizon Citigroup is expected to generate 0.91 times more return on investment than LG Clean. However, Citigroup is 1.1 times less risky than LG Clean. It trades about 0.04 of its potential returns per unit of risk. LG Clean Energy is currently generating about -0.15 per unit of risk. If you would invest 7,016 in Citigroup on September 28, 2024 and sell it today you would earn a total of 59.50 from holding Citigroup or generate 0.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 95.24% |
Values | Daily Returns |
Citigroup vs. LG Clean Energy
Performance |
Timeline |
Citigroup |
LG Clean Energy |
Citigroup and LG Clean Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Citigroup and LG Clean
The main advantage of trading using opposite Citigroup and LG Clean positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citigroup position performs unexpectedly, LG Clean 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 Clean will offset losses from the drop in LG Clean's long position.The idea behind Citigroup and LG Clean Energy pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.LG Clean vs. UBSFund Solutions MSCI | LG Clean vs. Vanguard SP 500 | LG Clean vs. iShares VII PLC | LG Clean vs. iShares Core SP |
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.
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