Correlation Between Okta and MongoDB

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

Diversification Opportunities for Okta and MongoDB

-0.2
  Correlation Coefficient

Good diversification

The 3 months correlation between Okta and MongoDB is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding Okta Inc and MongoDB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MongoDB and Okta 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 Okta 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 Okta i.e., Okta and MongoDB go up and down completely randomly.

Pair Corralation between Okta and MongoDB

Given the investment horizon of 90 days Okta Inc is expected to generate 0.77 times more return on investment than MongoDB. However, Okta Inc is 1.31 times less risky than MongoDB. It trades about 0.51 of its potential returns per unit of risk. MongoDB is currently generating about 0.25 per unit of risk. If you would invest  7,883  in Okta Inc on November 3, 2024 and sell it today you would earn a total of  1,539  from holding Okta Inc or generate 19.52% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Okta Inc  vs.  MongoDB

 Performance 
       Timeline  
Okta Inc 

Risk-Adjusted Performance

16 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in Okta Inc are ranked lower than 16 (%) of all global equities and portfolios over the last 90 days. Despite somewhat unsteady basic indicators, Okta sustained solid returns over the last few months and may actually be approaching a breakup point.
MongoDB 

Risk-Adjusted Performance

2 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in MongoDB are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. Despite somewhat unsteady fundamental indicators, MongoDB may actually be approaching a critical reversion point that can send shares even higher in March 2025.

Okta and MongoDB Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Okta and MongoDB

The main advantage of trading using opposite Okta and MongoDB positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Okta 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 Okta 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.
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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.

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