Correlation Between Agilent Technologies and Uber Technologies

Can any of the company-specific risk be diversified away by investing in both Agilent Technologies 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 Agilent Technologies and Uber Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Agilent Technologies and Uber Technologies, you can compare the effects of market volatilities on Agilent Technologies 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 Agilent Technologies with a short position of Uber Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Agilent Technologies and Uber Technologies.

Diversification Opportunities for Agilent Technologies and Uber Technologies

0.27

Correlation Coefficient

Agilent Technologies  Uber Technologies

Modest diversification

The 3 months correlation between Agilent and Uber is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding Agilent Technologies and Uber Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Uber Technologies and Agilent 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 Agilent Technologies 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 Agilent Technologies i.e., Agilent Technologies and Uber Technologies go up and down completely randomly.

Pair Corralation between Agilent Technologies and Uber Technologies

Taking into account the 90-day investment horizon Agilent Technologies is expected to under-perform the Uber Technologies. But the stock apears to be less risky and, when comparing its historical volatility, Agilent Technologies is 1.54 times less risky than Uber Technologies. The stock trades about -0.02 of its potential returns per unit of risk. The Uber Technologies is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest  7,313  in Uber Technologies on August 30, 2024 and sell it today you would lose (151.00) from holding Uber Technologies or give up 2.06% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	100.0%
Values	Daily Returns

Agilent Technologies  vs.  Uber Technologies

Agilent Technologies

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Agilent Technologies has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, Agilent Technologies is not utilizing all of its potentials. The latest stock price disturbance, may contribute to short-term losses for the investors.

Uber Technologies

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Uber Technologies has generated negative risk-adjusted returns adding no value to investors with long positions. Even with relatively invariable technical and fundamental indicators, Uber Technologies is not utilizing all of its potentials. The recent stock price agitation, may contribute to short-term losses for the retail investors.

Pair Trading with Agilent Technologies and Uber Technologies

The main advantage of trading using opposite Agilent Technologies and Uber Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Agilent Technologies 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 Agilent Technologies 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.

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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.