Correlation Between Uber Technologies and Agilent Technologies

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

Diversification Opportunities for Uber Technologies and Agilent Technologies

0.57
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Uber and Agilent is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Uber Technologies and Agilent Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Agilent Technologies and Uber Technologies 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 Uber Technologies are associated (or correlated) with Agilent Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Agilent Technologies has no effect on the direction of Uber Technologies i.e., Uber Technologies and Agilent Technologies go up and down completely randomly.

Pair Corralation between Uber Technologies and Agilent Technologies

Assuming the 90 days trading horizon Uber Technologies is expected to generate 2.04 times more return on investment than Agilent Technologies. However, Uber Technologies is 2.04 times more volatile than Agilent Technologies. It trades about 0.06 of its potential returns per unit of risk. Agilent Technologies is currently generating about -0.03 per unit of risk. If you would invest  10,283  in Uber Technologies on September 5, 2024 and sell it today you would earn a total of  572.00  from holding Uber Technologies or generate 5.56% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Uber Technologies  vs.  Agilent Technologies

 Performance 
       Timeline  
Uber Technologies 

Risk-Adjusted Performance

5 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in Uber Technologies are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak fundamental drivers, Uber Technologies may actually be approaching a critical reversion point that can send shares even higher in January 2025.
Agilent Technologies 

Risk-Adjusted Performance

7 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Agilent Technologies are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak technical and fundamental indicators, Agilent Technologies may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Uber Technologies and Agilent Technologies Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Uber Technologies and Agilent Technologies

The main advantage of trading using opposite Uber Technologies and Agilent Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Uber Technologies position performs unexpectedly, Agilent 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 Agilent Technologies will offset losses from the drop in Agilent Technologies' long position.
The idea behind Uber Technologies and Agilent 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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.

Other Complementary Tools

Performance Analysis
Check effects of mean-variance optimization against your current asset allocation
Content Syndication
Quickly integrate customizable finance content to your own investment portal
Sign In To Macroaxis
Sign in to explore Macroaxis' wealth optimization platform and fintech modules
Portfolio Optimization
Compute new portfolio that will generate highest expected return given your specified tolerance for risk
FinTech Suite
Use AI to screen and filter profitable investment opportunities