Correlation Between GM and LG Battery
Can any of the company-specific risk be diversified away by investing in both GM and LG Battery 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 GM and LG Battery into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and LG Battery Value Chain, you can compare the effects of market volatilities on GM and LG Battery 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 GM with a short position of LG Battery. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and LG Battery.
Diversification Opportunities for GM and LG Battery
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between GM and BATE is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and LG Battery Value Chain in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LG Battery Value and GM 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 General Motors are associated (or correlated) with LG Battery. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LG Battery Value has no effect on the direction of GM i.e., GM and LG Battery go up and down completely randomly.
Pair Corralation between GM and LG Battery
Allowing for the 90-day total investment horizon General Motors is expected to generate 1.57 times more return on investment than LG Battery. However, GM is 1.57 times more volatile than LG Battery Value Chain. It trades about 0.0 of its potential returns per unit of risk. LG Battery Value Chain is currently generating about -0.06 per unit of risk. If you would invest 4,986 in General Motors on December 18, 2024 and sell it today you would lose (86.00) from holding General Motors or give up 1.72% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. LG Battery Value Chain
Performance |
Timeline |
General Motors |
LG Battery Value |
GM and LG Battery Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and LG Battery
The main advantage of trading using opposite GM and LG Battery positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, LG Battery 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 Battery will offset losses from the drop in LG Battery's long position.The idea behind General Motors and LG Battery Value Chain 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 Battery vs. LG Battery Value Chain | LG Battery vs. iShares Govt Bond | LG Battery vs. Amundi MSCI Europe | LG Battery vs. iShares Global AAA AA |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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