Correlation Between Uber Technologies and FactSet Research

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

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

Diversification Opportunities for Uber Technologies and FactSet Research

-0.65

Correlation Coefficient

Uber Technologies  FactSet Research

Excellent diversification

The 3 months correlation between Uber and FactSet is -0.65. Overlapping area represents the amount of risk that can be diversified away by holding Uber Technologies and FactSet Research Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FactSet Research Systems 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 FactSet Research. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FactSet Research Systems has no effect on the direction of Uber Technologies i.e., Uber Technologies and FactSet Research go up and down completely randomly.

Pair Corralation between Uber Technologies and FactSet Research

Given the investment horizon of 90 days Uber Technologies is expected to generate 1.86 times more return on investment than FactSet Research. However, Uber Technologies is 1.86 times more volatile than FactSet Research Systems. It trades about 0.08 of its potential returns per unit of risk. FactSet Research Systems is currently generating about 0.02 per unit of risk. If you would invest  2,903  in Uber Technologies on October 10, 2024 and sell it today you would earn a total of  3,712  from holding Uber Technologies or generate 127.87% return on investment over 90 days.

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

Uber Technologies  vs.  FactSet Research Systems

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 unfluctuating performance in the last few months, the Stock's technical and fundamental indicators remain relatively invariable which may send shares a bit higher in February 2025. The latest agitation may also be a sign of long-running up-swing for the enterprise retail investors.

FactSet Research Systems

Risk-Adjusted Performance

2 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in FactSet Research Systems are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively stable fundamental indicators, FactSet Research is not utilizing all of its potentials. The current stock price uproar, may contribute to short-horizon losses for the private investors.

Pair Trading with Uber Technologies and FactSet Research

The main advantage of trading using opposite Uber Technologies and FactSet Research positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Uber Technologies position performs unexpectedly, FactSet Research 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 FactSet Research will offset losses from the drop in FactSet Research's long position.

The idea behind Uber Technologies and FactSet Research Systems 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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..