Correlation Between GM and Graham

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

Diversification Opportunities for GM and Graham

0.78
  Correlation Coefficient

Poor diversification

The 3 months correlation between GM and Graham is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Graham in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Graham 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 Graham. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Graham has no effect on the direction of GM i.e., GM and Graham go up and down completely randomly.

Pair Corralation between GM and Graham

Allowing for the 90-day total investment horizon GM is expected to generate 5.63 times less return on investment than Graham. But when comparing it to its historical volatility, General Motors is 1.69 times less risky than Graham. It trades about 0.13 of its potential returns per unit of risk. Graham is currently generating about 0.44 of returns per unit of risk over similar time horizon. If you would invest  2,878  in Graham on August 30, 2024 and sell it today you would earn a total of  1,504  from holding Graham or generate 52.26% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy95.65%
ValuesDaily Returns

General Motors  vs.  Graham

 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.
Graham 

Risk-Adjusted Performance

13 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Graham are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. In spite of very weak technical indicators, Graham displayed solid returns over the last few months and may actually be approaching a breakup point.

GM and Graham Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with GM and Graham

The main advantage of trading using opposite GM and Graham positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Graham 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 Graham will offset losses from the drop in Graham's long position.
The idea behind General Motors and Graham 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.
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.

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