Correlation Between GM and Vanguard FTSE
Can any of the company-specific risk be diversified away by investing in both GM and Vanguard FTSE 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 Vanguard FTSE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Vanguard FTSE All World, you can compare the effects of market volatilities on GM and Vanguard FTSE 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 Vanguard FTSE. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Vanguard FTSE.
Diversification Opportunities for GM and Vanguard FTSE
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between GM and Vanguard is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Vanguard FTSE All World in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vanguard FTSE All 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 Vanguard FTSE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vanguard FTSE All has no effect on the direction of GM i.e., GM and Vanguard FTSE go up and down completely randomly.
Pair Corralation between GM and Vanguard FTSE
Allowing for the 90-day total investment horizon General Motors is expected to generate 3.39 times more return on investment than Vanguard FTSE. However, GM is 3.39 times more volatile than Vanguard FTSE All World. It trades about 0.12 of its potential returns per unit of risk. Vanguard FTSE All World is currently generating about 0.16 per unit of risk. If you would invest 4,571 in General Motors on September 26, 2024 and sell it today you would earn a total of 780.00 from holding General Motors or generate 17.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.44% |
Values | Daily Returns |
General Motors vs. Vanguard FTSE All World
Performance |
Timeline |
General Motors |
Vanguard FTSE All |
GM and Vanguard FTSE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Vanguard FTSE
The main advantage of trading using opposite GM and Vanguard FTSE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Vanguard FTSE 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 Vanguard FTSE will offset losses from the drop in Vanguard FTSE's long position.The idea behind General Motors and Vanguard FTSE All World 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.Vanguard FTSE vs. UBS Fund Solutions | Vanguard FTSE vs. Xtrackers II | Vanguard FTSE vs. Xtrackers Nikkei 225 | Vanguard FTSE vs. iShares VII PLC |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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