Correlation Between Five9 and MongoDB

Can any of the company-specific risk be diversified away by investing in both Five9 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 Five9 and MongoDB into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Five9 Inc and MongoDB, you can compare the effects of market volatilities on Five9 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 Five9 with a short position of MongoDB. Check out your portfolio center. Please also check ongoing floating volatility patterns of Five9 and MongoDB.

Diversification Opportunities for Five9 and MongoDB

0.97

Correlation Coefficient

Five9  MongoDB

Almost no diversification

The 3 months correlation between Five9 and MongoDB is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Five9 Inc and MongoDB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MongoDB and Five9 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 Five9 Inc 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 Five9 i.e., Five9 and MongoDB go up and down completely randomly.

Pair Corralation between Five9 and MongoDB

Given the investment horizon of 90 days Five9 Inc is expected to under-perform the MongoDB. But the stock apears to be less risky and, when comparing its historical volatility, Five9 Inc is 1.31 times less risky than MongoDB. The stock trades about -0.18 of its potential returns per unit of risk. The MongoDB is currently generating about -0.11 of returns per unit of risk over similar time horizon. If you would invest  27,332  in MongoDB on January 31, 2025 and sell it today you would lose (10,115) from holding MongoDB or give up 37.01% of portfolio value over 90 days.

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

Five9 Inc  vs.  MongoDB

Five9 Inc

Risk-Adjusted Performance

Very Weak

Over the last 90 days Five9 Inc has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of uncertain performance in the last few months, the Stock's basic indicators remain very healthy which may send shares a bit higher in June 2025. The recent disarray may also be a sign of long period up-swing for the firm investors.

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 June 2025. The current disturbance may also be a sign of long term up-swing for the company investors.

Pair Trading with Five9 and MongoDB

The main advantage of trading using opposite Five9 and MongoDB positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Five9 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 Five9 Inc 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.

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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.