Correlation Between GEE and Automatic Data

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

Diversification Opportunities for GEE and Automatic Data

-0.41
  Correlation Coefficient

Very good diversification

The 3 months correlation between GEE and Automatic is -0.41. Overlapping area represents the amount of risk that can be diversified away by holding GEE Group and Automatic Data Processing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Automatic Data Processing and GEE 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 GEE Group are associated (or correlated) with Automatic Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Automatic Data Processing has no effect on the direction of GEE i.e., GEE and Automatic Data go up and down completely randomly.

Pair Corralation between GEE and Automatic Data

Considering the 90-day investment horizon GEE Group is expected to under-perform the Automatic Data. In addition to that, GEE is 1.57 times more volatile than Automatic Data Processing. It trades about -0.18 of its total potential returns per unit of risk. Automatic Data Processing is currently generating about -0.1 per unit of volatility. If you would invest  24,895  in Automatic Data Processing on January 21, 2024 and sell it today you would lose (564.00) from holding Automatic Data Processing or give up 2.27% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy95.45%
ValuesDaily Returns

GEE Group  vs.  Automatic Data Processing

 Performance 
       Timeline  
GEE Group 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days GEE Group has generated negative risk-adjusted returns adding no value to investors with long positions. Despite uncertain performance in the last few months, the Stock's basic indicators remain somewhat strong which may send shares a bit higher in May 2024. The current disturbance may also be a sign of long term up-swing for the company investors.
Automatic Data Processing 

Risk-Adjusted Performance

3 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in Automatic Data Processing are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. Even with relatively invariable fundamental indicators, Automatic Data is not utilizing all of its potentials. The newest stock price agitation, may contribute to short-term losses for the retail investors.

GEE and Automatic Data Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with GEE and Automatic Data

The main advantage of trading using opposite GEE and Automatic Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GEE position performs unexpectedly, Automatic Data 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 Automatic Data will offset losses from the drop in Automatic Data's long position.
The idea behind GEE Group and Automatic Data Processing 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 Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.

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