Correlation Between GM and ChampionX

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

Diversification Opportunities for GM and ChampionX

0.19
  Correlation Coefficient

Average diversification

The 3 months correlation between GM and ChampionX is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and ChampionX in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ChampionX 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 ChampionX. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ChampionX has no effect on the direction of GM i.e., GM and ChampionX go up and down completely randomly.

Pair Corralation between GM and ChampionX

Allowing for the 90-day total investment horizon General Motors is expected to generate 0.74 times more return on investment than ChampionX. However, General Motors is 1.36 times less risky than ChampionX. It trades about -0.03 of its potential returns per unit of risk. ChampionX is currently generating about -0.41 per unit of risk. If you would invest  5,492  in General Motors on October 1, 2024 and sell it today you would lose (64.00) from holding General Motors or give up 1.17% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy85.71%
ValuesDaily Returns

General Motors  vs.  ChampionX

 Performance 
       Timeline  
General Motors 

Risk-Adjusted Performance

11 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in General Motors are ranked lower than 11 (%) 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.
ChampionX 

Risk-Adjusted Performance

0 of 100

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

GM and ChampionX Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with GM and ChampionX

The main advantage of trading using opposite GM and ChampionX positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, ChampionX 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 ChampionX will offset losses from the drop in ChampionX's long position.
The idea behind General Motors and ChampionX 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.

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