Correlation Between LYFT and Shopify

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

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

Diversification Opportunities for LYFT and Shopify

0.71

Correlation Coefficient

LYFT  Shopify

Poor diversification

The 3 months correlation between LYFT and Shopify is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding LYFT Inc and Shopify in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shopify and LYFT 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 LYFT Inc are associated (or correlated) with Shopify. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shopify has no effect on the direction of LYFT i.e., LYFT and Shopify go up and down completely randomly.

Pair Corralation between LYFT and Shopify

Given the investment horizon of 90 days LYFT Inc is expected to under-perform the Shopify. But the stock apears to be less risky and, when comparing its historical volatility, LYFT Inc is 1.1 times less risky than Shopify. The stock trades about -0.05 of its potential returns per unit of risk. The Shopify is currently generating about -0.03 of returns per unit of risk over similar time horizon. If you would invest  10,669  in Shopify on December 28, 2024 and sell it today you would lose (984.00) from holding Shopify or give up 9.22% of portfolio value over 90 days.

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

LYFT Inc  vs.  Shopify

LYFT Inc

Risk-Adjusted Performance

Very Weak

Over the last 90 days LYFT Inc has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest unfluctuating performance, the Stock's technical and fundamental indicators remain stable and the newest uproar on Wall Street may also be a sign of mid-term gains for the firm private investors.

Shopify

Risk-Adjusted Performance

Very Weak

Over the last 90 days Shopify has generated negative risk-adjusted returns adding no value to investors with long positions. Even with relatively invariable basic indicators, Shopify 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 LYFT and Shopify

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

The idea behind LYFT Inc and Shopify 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.