Correlation Between GM and Airbus SE

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Can any of the company-specific risk be diversified away by investing in both GM and Airbus SE 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 Airbus SE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Airbus SE, you can compare the effects of market volatilities on GM and Airbus SE 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 Airbus SE. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Airbus SE.

Diversification Opportunities for GM and Airbus SE

0.7
  Correlation Coefficient

Poor diversification

The 3 months correlation between GM and Airbus is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Airbus SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Airbus SE 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 Airbus SE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Airbus SE has no effect on the direction of GM i.e., GM and Airbus SE go up and down completely randomly.

Pair Corralation between GM and Airbus SE

Allowing for the 90-day total investment horizon General Motors is expected to generate 1.49 times more return on investment than Airbus SE. However, GM is 1.49 times more volatile than Airbus SE. It trades about 0.16 of its potential returns per unit of risk. Airbus SE is currently generating about -0.01 per unit of risk. If you would invest  4,893  in General Motors on August 28, 2024 and sell it today you would earn a total of  1,127  from holding General Motors or generate 23.03% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy98.44%
ValuesDaily Returns

General Motors  vs.  Airbus SE

 Performance 
       Timeline  
General Motors 

Risk-Adjusted Performance

12 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in General Motors are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. In spite of very unfluctuating primary indicators, GM displayed solid returns over the last few months and may actually be approaching a breakup point.
Airbus SE 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Airbus SE has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, Airbus SE is not utilizing all of its potentials. The latest stock price disturbance, may contribute to mid-run losses for the stockholders.

GM and Airbus SE Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with GM and Airbus SE

The main advantage of trading using opposite GM and Airbus SE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Airbus SE 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 Airbus SE will offset losses from the drop in Airbus SE's long position.
The idea behind General Motors and Airbus SE 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.
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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 Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.

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