Correlation Between MongoDB and Equity Residential

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

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

Diversification Opportunities for MongoDB and Equity Residential

-0.58

Correlation Coefficient

MongoDB  Equity Residential

Excellent diversification

The 3 months correlation between MongoDB and Equity is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding MongoDB and Equity Residential in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Equity Residential 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 Equity Residential. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Equity Residential has no effect on the direction of MongoDB i.e., MongoDB and Equity Residential go up and down completely randomly.

Pair Corralation between MongoDB and Equity Residential

Considering the 90-day investment horizon MongoDB is expected to generate 2.22 times more return on investment than Equity Residential. However, MongoDB is 2.22 times more volatile than Equity Residential. It trades about 0.23 of its potential returns per unit of risk. Equity Residential is currently generating about -0.05 per unit of risk. If you would invest  17,217  in MongoDB on April 30, 2025 and sell it today you would earn a total of  6,942  from holding MongoDB or generate 40.32% return on investment over 90 days.

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

MongoDB  vs.  Equity Residential

MongoDB

Risk-Adjusted Performance

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in MongoDB are ranked lower than 17 (%) 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.

Equity Residential

Risk-Adjusted Performance

Very Weak

Over the last 90 days Equity Residential has generated negative risk-adjusted returns adding no value to investors with long positions. Even with relatively invariable basic indicators, Equity Residential is not utilizing all of its potentials. The newest stock price agitation, may contribute to short-term losses for the retail investors.

Pair Trading with MongoDB and Equity Residential

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

The idea behind MongoDB and Equity Residential 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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.