Correlation Between Gitlab and Freshworks

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

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

Diversification Opportunities for Gitlab and Freshworks

0.91

Correlation Coefficient

Gitlab  Freshworks

Almost no diversification

The 3 months correlation between Gitlab and Freshworks is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Gitlab Inc and Freshworks in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Freshworks 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 Freshworks. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Freshworks has no effect on the direction of Gitlab i.e., Gitlab and Freshworks go up and down completely randomly.

Pair Corralation between Gitlab and Freshworks

Given the investment horizon of 90 days Gitlab is expected to generate 3.55 times less return on investment than Freshworks. But when comparing it to its historical volatility, Gitlab Inc is 1.63 times less risky than Freshworks. It trades about 0.08 of its potential returns per unit of risk. Freshworks is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest  1,112  in Freshworks on September 15, 2024 and sell it today you would earn a total of  543.00  from holding Freshworks or generate 48.83% return on investment over 90 days.

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

Gitlab Inc  vs.  Freshworks

Gitlab Inc

Risk-Adjusted Performance

6 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in Gitlab Inc are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. Despite somewhat conflicting essential indicators, Gitlab may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Freshworks

Risk-Adjusted Performance

13 of 100

Good

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

Pair Trading with Gitlab and Freshworks

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

The idea behind Gitlab Inc and Freshworks 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.

Check out your portfolio center.

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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.