Correlation Between WIMFARM SA and MongoDB

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

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

Diversification Opportunities for WIMFARM SA and MongoDB

0.0

Correlation Coefficient

WIMFARM SA  MongoDB

Pay attention - limited upside

The 3 months correlation between WIMFARM and MongoDB is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding WIMFARM SA EO and MongoDB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MongoDB and WIMFARM SA 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 WIMFARM SA EO are associated (or correlated) with MongoDB. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MongoDB has no effect on the direction of WIMFARM SA i.e., WIMFARM SA and MongoDB go up and down completely randomly.

Pair Corralation between WIMFARM SA and MongoDB

Assuming the 90 days horizon WIMFARM SA is expected to generate 1.9 times less return on investment than MongoDB. But when comparing it to its historical volatility, WIMFARM SA EO is 1.21 times less risky than MongoDB. It trades about 0.09 of its potential returns per unit of risk. MongoDB is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest  15,190  in MongoDB on April 24, 2025 and sell it today you would earn a total of  3,892  from holding MongoDB or generate 25.62% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

WIMFARM SA EO  vs.  MongoDB

WIMFARM SA EO

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in WIMFARM SA EO are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, WIMFARM SA reported solid returns over the last few months and may actually be approaching a breakup point.

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 nearly fragile basic indicators, MongoDB reported solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with WIMFARM SA and MongoDB

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

The idea behind WIMFARM SA EO and MongoDB 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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.