Correlation Between Datadog and Expensify

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

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

Diversification Opportunities for Datadog and Expensify

0.43

Correlation Coefficient

Datadog  Expensify

Very weak diversification

The 3 months correlation between Datadog and Expensify is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Datadog and Expensify in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Expensify and Datadog 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 Datadog are associated (or correlated) with Expensify. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Expensify has no effect on the direction of Datadog i.e., Datadog and Expensify go up and down completely randomly.

Pair Corralation between Datadog and Expensify

Given the investment horizon of 90 days Datadog is expected to under-perform the Expensify. But the stock apears to be less risky and, when comparing its historical volatility, Datadog is 1.68 times less risky than Expensify. The stock trades about -0.21 of its potential returns per unit of risk. The Expensify is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest  348.00  in Expensify on December 30, 2024 and sell it today you would lose (37.00) from holding Expensify or give up 10.63% of portfolio value over 90 days.

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

Datadog  vs.  Expensify

Datadog

Risk-Adjusted Performance

Very Weak

Over the last 90 days Datadog has generated negative risk-adjusted returns adding no value to investors with long positions. Despite weak performance in the last few months, the Stock's basic indicators remain nearly stable which may send shares a bit higher in April 2025. The current disturbance may also be a sign of long-run up-swing for the company stockholders.

Expensify

Risk-Adjusted Performance

Very Weak

Over the last 90 days Expensify has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of fairly strong technical and fundamental indicators, Expensify is not utilizing all of its potentials. The recent stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Datadog and Expensify

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

The idea behind Datadog and Expensify 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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.