Correlation Between Discover Financial and Automatic Data

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

Diversification Opportunities for Discover Financial and Automatic Data

0.86
  Correlation Coefficient

Very poor diversification

The 3 months correlation between Discover and Automatic is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Discover Financial Services 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 Discover Financial 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 Discover Financial Services 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 Discover Financial i.e., Discover Financial and Automatic Data go up and down completely randomly.

Pair Corralation between Discover Financial and Automatic Data

Assuming the 90 days trading horizon Discover Financial Services is expected to under-perform the Automatic Data. In addition to that, Discover Financial is 1.12 times more volatile than Automatic Data Processing. It trades about -0.19 of its total potential returns per unit of risk. Automatic Data Processing is currently generating about -0.14 per unit of volatility. If you would invest  30,538  in Automatic Data Processing on September 30, 2024 and sell it today you would lose (838.00) from holding Automatic Data Processing or give up 2.74% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy95.24%
ValuesDaily Returns

Discover Financial Services  vs.  Automatic Data Processing

 Performance 
       Timeline  
Discover Financial 

Risk-Adjusted Performance

11 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Discover Financial Services are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain basic indicators, Discover Financial unveiled solid returns over the last few months and may actually be approaching a breakup point.
Automatic Data Processing 

Risk-Adjusted Performance

10 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Automatic Data Processing are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain basic indicators, Automatic Data may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Discover Financial and Automatic Data Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Discover Financial and Automatic Data

The main advantage of trading using opposite Discover Financial and Automatic Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Discover Financial 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 Discover Financial Services 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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.

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