Correlation Between MongoDB and SPS Commerce

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

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

Diversification Opportunities for MongoDB and SPS Commerce

0.04

Correlation Coefficient

MongoDB  SPS Commerce

Significant diversification

The 3 months correlation between MongoDB and SPS is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding MongoDB and SPS Commerce in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPS Commerce 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 SPS Commerce. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPS Commerce has no effect on the direction of MongoDB i.e., MongoDB and SPS Commerce go up and down completely randomly.

Pair Corralation between MongoDB and SPS Commerce

Considering the 90-day investment horizon MongoDB is expected to generate 1.39 times more return on investment than SPS Commerce. However, MongoDB is 1.39 times more volatile than SPS Commerce. It trades about -0.09 of its potential returns per unit of risk. SPS Commerce is currently generating about -0.22 per unit of risk. If you would invest  32,460  in MongoDB on November 27, 2024 and sell it today you would lose (6,490) from holding MongoDB or give up 19.99% of portfolio value over 90 days.

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

MongoDB  vs.  SPS Commerce

MongoDB

Risk-Adjusted Performance

Very Weak

Over the last 90 days MongoDB has generated negative risk-adjusted returns adding no value to investors with long positions. Despite unsteady performance in the last few months, the Stock's fundamental indicators remain somewhat strong which may send shares a bit higher in March 2025. The current disturbance may also be a sign of long term up-swing for the company investors.

SPS Commerce

Risk-Adjusted Performance

Very Weak

Over the last 90 days SPS Commerce has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of weak performance in the last few months, the Stock's basic indicators remain rather sound which may send shares a bit higher in March 2025. The latest tumult may also be a sign of longer-term up-swing for the firm shareholders.

Pair Trading with MongoDB and SPS Commerce

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

The idea behind MongoDB and SPS Commerce 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 Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.