Correlation Between MongoDB and PEMEX

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

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

Diversification Opportunities for MongoDB and PEMEX

-0.42

Correlation Coefficient

MongoDB  PEMEX

Very good diversification

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

Pair Corralation between MongoDB and PEMEX

Considering the 90-day investment horizon MongoDB is expected to generate 1.48 times more return on investment than PEMEX. However, MongoDB is 1.48 times more volatile than PEMEX PROJ FDG. It trades about 0.14 of its potential returns per unit of risk. PEMEX PROJ FDG is currently generating about -0.05 per unit of risk. If you would invest  21,001  in MongoDB on July 7, 2025 and sell it today you would earn a total of  11,120  from holding MongoDB or generate 52.95% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Very Weak
Accuracy	98.46%
Values	Daily Returns

MongoDB  vs.  PEMEX PROJ FDG

MongoDB

Risk-Adjusted Performance

Good

Compared to the overall equity markets, risk-adjusted returns on investments in MongoDB are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. Despite somewhat uncertain fundamental indicators, MongoDB sustained solid returns over the last few months and may actually be approaching a breakup point.

PEMEX PROJ FDG

Risk-Adjusted Performance

Weakest

Over the last 90 days PEMEX PROJ FDG has generated negative risk-adjusted returns adding no value to investors with long positions. Despite latest weak performance, the Bond's basic indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for PEMEX PROJ FDG investors.

Pair Trading with MongoDB and PEMEX

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

The idea behind MongoDB and PEMEX PROJ FDG 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.