Correlation Between MongoDB and Aeye

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Can any of the company-specific risk be diversified away by investing in both MongoDB and Aeye 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 Aeye into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MongoDB and Aeye Inc, you can compare the effects of market volatilities on MongoDB and Aeye 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 Aeye. Check out your portfolio center. Please also check ongoing floating volatility patterns of MongoDB and Aeye.

Diversification Opportunities for MongoDB and Aeye

-0.4
  Correlation Coefficient

Very good diversification

The 3 months correlation between MongoDB and Aeye is -0.4. Overlapping area represents the amount of risk that can be diversified away by holding MongoDB and Aeye Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aeye Inc 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 Aeye. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aeye Inc has no effect on the direction of MongoDB i.e., MongoDB and Aeye go up and down completely randomly.

Pair Corralation between MongoDB and Aeye

Considering the 90-day investment horizon MongoDB is expected to generate 0.68 times more return on investment than Aeye. However, MongoDB is 1.47 times less risky than Aeye. It trades about 0.08 of its potential returns per unit of risk. Aeye Inc is currently generating about 0.0 per unit of risk. If you would invest  28,320  in MongoDB on September 3, 2024 and sell it today you would earn a total of  3,929  from holding MongoDB or generate 13.87% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

MongoDB  vs.  Aeye Inc

 Performance 
       Timeline  
MongoDB 

Risk-Adjusted Performance

6 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in MongoDB are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. Despite somewhat unsteady fundamental indicators, MongoDB sustained solid returns over the last few months and may actually be approaching a breakup point.
Aeye Inc 

Risk-Adjusted Performance

0 of 100

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

MongoDB and Aeye Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with MongoDB and Aeye

The main advantage of trading using opposite MongoDB and Aeye positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MongoDB position performs unexpectedly, Aeye 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 Aeye will offset losses from the drop in Aeye's long position.
The idea behind MongoDB and Aeye Inc 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 Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.

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