Correlation Between GM and LS 1x
Can any of the company-specific risk be diversified away by investing in both GM and LS 1x 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 LS 1x into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and LS 1x Amazon, you can compare the effects of market volatilities on GM and LS 1x 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 LS 1x. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and LS 1x.
Diversification Opportunities for GM and LS 1x
Poor diversification
The 3 months correlation between GM and 1AMZ is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and LS 1x Amazon in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LS 1x Amazon 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 LS 1x. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LS 1x Amazon has no effect on the direction of GM i.e., GM and LS 1x go up and down completely randomly.
Pair Corralation between GM and LS 1x
Allowing for the 90-day total investment horizon GM is expected to generate 1.88 times less return on investment than LS 1x. In addition to that, GM is 1.38 times more volatile than LS 1x Amazon. It trades about 0.07 of its total potential returns per unit of risk. LS 1x Amazon is currently generating about 0.19 per unit of volatility. If you would invest 581.00 in LS 1x Amazon on August 29, 2024 and sell it today you would earn a total of 51.00 from holding LS 1x Amazon or generate 8.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. LS 1x Amazon
Performance |
Timeline |
General Motors |
LS 1x Amazon |
GM and LS 1x Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and LS 1x
The main advantage of trading using opposite GM and LS 1x positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, LS 1x 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 LS 1x will offset losses from the drop in LS 1x's long position.The idea behind General Motors and LS 1x Amazon 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.LS 1x vs. Scottish Mortgage Investment | LS 1x vs. VinaCapital Vietnam Opportunity | LS 1x vs. Edinburgh Worldwide Investment | LS 1x vs. Baillie Gifford Growth |
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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
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