Correlation Between Gitlab and Where Food

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

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

Diversification Opportunities for Gitlab and Where Food

0.42

Correlation Coefficient

Gitlab  Where Food

Very weak diversification

The 3 months correlation between Gitlab and Where is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding Gitlab Inc and Where Food Comes in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Where Food Comes 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 Where Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Where Food Comes has no effect on the direction of Gitlab i.e., Gitlab and Where Food go up and down completely randomly.

Pair Corralation between Gitlab and Where Food

Given the investment horizon of 90 days Gitlab Inc is expected to generate 1.38 times more return on investment than Where Food. However, Gitlab is 1.38 times more volatile than Where Food Comes. It trades about -0.05 of its potential returns per unit of risk. Where Food Comes is currently generating about -0.08 per unit of risk. If you would invest  5,647  in Gitlab Inc on December 28, 2024 and sell it today you would lose (859.00) from holding Gitlab Inc or give up 15.21% of portfolio value over 90 days.

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

Gitlab Inc  vs.  Where Food Comes

Gitlab Inc

Risk-Adjusted Performance

Very Weak

Over the last 90 days Gitlab Inc has generated negative risk-adjusted returns adding no value to investors with long positions. Despite latest conflicting performance, the Stock's essential indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the company investors.

Where Food Comes

Risk-Adjusted Performance

Very Weak

Over the last 90 days Where Food Comes 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 fundamental 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.

Pair Trading with Gitlab and Where Food

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

The idea behind Gitlab Inc and Where Food Comes 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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.