Correlation Between Shopify and Uber Technologies

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

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

Diversification Opportunities for Shopify and Uber Technologies

-0.61

Correlation Coefficient

Shopify  Uber Technologies

Excellent diversification

The 3 months correlation between Shopify and Uber is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding Shopify and Uber Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Uber Technologies and Shopify 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 Shopify 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 Shopify i.e., Shopify and Uber Technologies go up and down completely randomly.

Pair Corralation between Shopify and Uber Technologies

Assuming the 90 days horizon Shopify is expected to generate 1.43 times more return on investment than Uber Technologies. However, Shopify is 1.43 times more volatile than Uber Technologies. It trades about 0.2 of its potential returns per unit of risk. Uber Technologies is currently generating about -0.17 per unit of risk. If you would invest  7,492  in Shopify on September 23, 2024 and sell it today you would earn a total of  3,034  from holding Shopify or generate 40.5% return on investment over 90 days.

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

Shopify  vs.  Uber Technologies

Shopify

Risk-Adjusted Performance

13 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Shopify are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, Shopify reported solid returns over the last few months and may actually be approaching a breakup point.

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. Despite latest fragile performance, the Stock's basic indicators remain stable and the current disturbance on Wall Street may also be a sign of long-run gains for the company stockholders.

Pair Trading with Shopify and Uber Technologies

The main advantage of trading using opposite Shopify and Uber Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shopify 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 Shopify 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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.