Correlation Between Eventbrite and Vertex

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

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

Diversification Opportunities for Eventbrite and Vertex

0.9

Correlation Coefficient

Eventbrite  Vertex

Almost no diversification

The 3 months correlation between Eventbrite and Vertex is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Eventbrite Class A and Vertex in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vertex and Eventbrite 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 Eventbrite Class A are associated (or correlated) with Vertex. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vertex has no effect on the direction of Eventbrite i.e., Eventbrite and Vertex go up and down completely randomly.

Pair Corralation between Eventbrite and Vertex

Allowing for the 90-day total investment horizon Eventbrite Class A is expected to generate 1.11 times more return on investment than Vertex. However, Eventbrite is 1.11 times more volatile than Vertex. It trades about -0.14 of its potential returns per unit of risk. Vertex is currently generating about -0.16 per unit of risk. If you would invest  336.00  in Eventbrite Class A on December 29, 2024 and sell it today you would lose (110.00) from holding Eventbrite Class A or give up 32.74% of portfolio value over 90 days.

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

Eventbrite Class A  vs.  Vertex

Eventbrite Class A

Risk-Adjusted Performance

Very Weak

Over the last 90 days Eventbrite Class A has generated negative risk-adjusted returns adding no value to investors with long positions. Despite unfluctuating performance in the last few months, the Stock's fundamental drivers remain somewhat strong which may send shares a bit higher in April 2025. The current disturbance may also be a sign of long term up-swing for the company investors.

Vertex

Risk-Adjusted Performance

Very Weak

Over the last 90 days Vertex has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of conflicting performance in the last few months, the Stock's basic indicators remain fairly strong which may send shares a bit higher in April 2025. The current disturbance may also be a sign of long term up-swing for the company investors.

Pair Trading with Eventbrite and Vertex

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

The idea behind Eventbrite Class A and Vertex 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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.