Correlation Between Gitlab and Duolingo

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

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

Diversification Opportunities for Gitlab and Duolingo

0.75

Correlation Coefficient

Gitlab  Duolingo

Poor diversification

The 3 months correlation between Gitlab and Duolingo is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Gitlab Inc and Duolingo in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Duolingo and Gitlab 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 Gitlab Inc are associated (or correlated) with Duolingo. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Duolingo has no effect on the direction of Gitlab i.e., Gitlab and Duolingo go up and down completely randomly.

Pair Corralation between Gitlab and Duolingo

Given the investment horizon of 90 days Gitlab is expected to generate 1.36 times less return on investment than Duolingo. In addition to that, Gitlab is 1.62 times more volatile than Duolingo. It trades about 0.17 of its total potential returns per unit of risk. Duolingo is currently generating about 0.38 per unit of volatility. If you would invest  20,636  in Duolingo on August 31, 2024 and sell it today you would earn a total of  14,128  from holding Duolingo or generate 68.46% return on investment over 90 days.

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

Gitlab Inc  vs.  Duolingo

Gitlab Inc

Risk-Adjusted Performance

13 of 100

Good

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

Duolingo

Risk-Adjusted Performance

29 of 100

Strong

Compared to the overall equity markets, risk-adjusted returns on investments in Duolingo are ranked lower than 29 (%) of all global equities and portfolios over the last 90 days. Despite quite conflicting basic indicators, Duolingo disclosed solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Gitlab and Duolingo

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

The idea behind Gitlab Inc and Duolingo 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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.