Correlation Between Informatica and MongoDB

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

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

Diversification Opportunities for Informatica and MongoDB

0.28

Correlation Coefficient

Informatica  MongoDB

Modest diversification

The 3 months correlation between Informatica and MongoDB is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding Informatica and MongoDB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MongoDB and Informatica 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 Informatica 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 Informatica i.e., Informatica and MongoDB go up and down completely randomly.

Pair Corralation between Informatica and MongoDB

Given the investment horizon of 90 days Informatica is expected to generate 0.64 times more return on investment than MongoDB. However, Informatica is 1.55 times less risky than MongoDB. It trades about 0.05 of its potential returns per unit of risk. MongoDB is currently generating about 0.03 per unit of risk. If you would invest  1,629  in Informatica on September 20, 2024 and sell it today you would earn a total of  991.00  from holding Informatica or generate 60.83% return on investment over 90 days.

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

Informatica  vs.  MongoDB

Informatica

Risk-Adjusted Performance

2 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Informatica are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. Despite somewhat strong technical and fundamental indicators, Informatica is not utilizing all of its potentials. The newest stock price disturbance, may contribute to short-term losses for the investors.

MongoDB

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days MongoDB has generated negative risk-adjusted returns adding no value to investors with long positions. Despite latest unsteady performance, the Stock's fundamental indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the company investors.

Pair Trading with Informatica and MongoDB

The main advantage of trading using opposite Informatica and MongoDB positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Informatica 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 Informatica 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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.