Correlation Between Automatic Data and Uber Technologies

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Automatic Data and Uber Technologies 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 Automatic Data and Uber Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Automatic Data Processing and Uber Technologies, you can compare the effects of market volatilities on Automatic Data and Uber Technologies 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 Automatic Data with a short position of Uber Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Automatic Data and Uber Technologies.

Diversification Opportunities for Automatic Data and Uber Technologies

-0.41
  Correlation Coefficient

Very good diversification

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

Pair Corralation between Automatic Data and Uber Technologies

Assuming the 90 days trading horizon Automatic Data Processing is expected to generate 0.31 times more return on investment than Uber Technologies. However, Automatic Data Processing is 3.27 times less risky than Uber Technologies. It trades about -0.11 of its potential returns per unit of risk. Uber Technologies is currently generating about -0.21 per unit of risk. If you would invest  7,696  in Automatic Data Processing on October 4, 2024 and sell it today you would lose (144.00) from holding Automatic Data Processing or give up 1.87% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy89.47%
ValuesDaily Returns

Automatic Data Processing  vs.  Uber Technologies

 Performance 
       Timeline  
Automatic Data Processing 

Risk-Adjusted Performance

19 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in Automatic Data Processing are ranked lower than 19 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Automatic Data sustained solid returns over the last few months and may actually be approaching a breakup point.
Uber Technologies 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Uber Technologies has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong fundamental drivers, Uber Technologies is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Automatic Data and Uber Technologies Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Automatic Data and Uber Technologies

The main advantage of trading using opposite Automatic Data and Uber Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Automatic Data position performs unexpectedly, Uber Technologies 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 Uber Technologies will offset losses from the drop in Uber Technologies' long position.
The idea behind Automatic Data Processing and Uber Technologies 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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.

Other Complementary Tools

Companies Directory
Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals
Portfolio Optimization
Compute new portfolio that will generate highest expected return given your specified tolerance for risk
My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like
Portfolio Backtesting
Avoid under-diversification and over-optimization by backtesting your portfolios
Equity Search
Search for actively traded equities including funds and ETFs from over 30 global markets