Correlation Between GM and Data International

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

Diversification Opportunities for GM and Data International

-0.88
  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between GM and Data is -0.88. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Data International Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Data International 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 Data International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Data International has no effect on the direction of GM i.e., GM and Data International go up and down completely randomly.

Pair Corralation between GM and Data International

Allowing for the 90-day total investment horizon GM is expected to generate 4.55 times less return on investment than Data International. But when comparing it to its historical volatility, General Motors is 1.97 times less risky than Data International. It trades about 0.05 of its potential returns per unit of risk. Data International Co is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest  2,916  in Data International Co on September 3, 2024 and sell it today you would earn a total of  13,784  from holding Data International Co or generate 472.7% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthSignificant
Accuracy96.97%
ValuesDaily Returns

General Motors  vs.  Data International Co

 Performance 
       Timeline  
General Motors 

Risk-Adjusted Performance

7 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in General Motors are ranked lower than 7 (%) 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.
Data International 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Data International Co has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of abnormal performance in the last few months, the Stock's basic indicators remain fairly stable which may send shares a bit higher in January 2025. The latest fuss may also be a sign of long-term up-swing for the venture sophisticated investors.

GM and Data International Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with GM and Data International

The main advantage of trading using opposite GM and Data International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Data International 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 Data International will offset losses from the drop in Data International's long position.
The idea behind General Motors and Data International Co 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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.

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