Correlation Between GM and Intel

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

Diversification Opportunities for GM and Intel

0.63
  Correlation Coefficient

Poor diversification

The 3 months correlation between GM and Intel is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Intel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Intel 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 Intel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Intel has no effect on the direction of GM i.e., GM and Intel go up and down completely randomly.

Pair Corralation between GM and Intel

Allowing for the 90-day total investment horizon General Motors is expected to generate 0.87 times more return on investment than Intel. However, General Motors is 1.15 times less risky than Intel. It trades about 0.08 of its potential returns per unit of risk. Intel is currently generating about 0.05 per unit of risk. If you would invest  4,966  in General Motors on August 30, 2024 and sell it today you would earn a total of  584.00  from holding General Motors or generate 11.76% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

General Motors  vs.  Intel

 Performance 
       Timeline  
General Motors 

Risk-Adjusted Performance

6 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in General Motors are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of very weak primary indicators, GM displayed solid returns over the last few months and may actually be approaching a breakup point.
Intel 

Risk-Adjusted Performance

4 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Intel are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of rather fragile basic indicators, Intel may actually be approaching a critical reversion point that can send shares even higher in December 2024.

GM and Intel Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with GM and Intel

The main advantage of trading using opposite GM and Intel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Intel 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 Intel will offset losses from the drop in Intel's long position.
The idea behind General Motors and Intel 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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.

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