Correlation Between Twitter and Uber Technologies

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

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

Diversification Opportunities for Twitter and Uber Technologies

0.19

Correlation Coefficient

Twitter  Uber Technologies

Average diversification

The 3 months correlation between Twitter and Uber is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Twitter and Uber Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Uber Technologies and Twitter 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 Twitter 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 Twitter i.e., Twitter and Uber Technologies go up and down completely randomly.

Pair Corralation between Twitter and Uber Technologies

If you would invest  3,068  in Uber Technologies on January 18, 2024 and sell it today you would earn a total of  4,345  from holding Uber Technologies or generate 141.62% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	0.4%
Values	Daily Returns

Twitter  vs.  Uber Technologies

Twitter

Risk-Adjusted Performance

0 of 100

Very Weak

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

Uber Technologies

Risk-Adjusted Performance

7 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Uber Technologies are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. Even with relatively unfluctuating technical and fundamental indicators, Uber Technologies reported solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Twitter and Uber Technologies

The main advantage of trading using opposite Twitter and Uber Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Twitter 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 Twitter 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.