Correlation Between MongoDB and Microsoft
Can any of the company-specific risk be diversified away by investing in both MongoDB and Microsoft 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 Microsoft into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MongoDB and Microsoft, you can compare the effects of market volatilities on MongoDB and Microsoft 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 Microsoft. Check out your portfolio center. Please also check ongoing floating volatility patterns of MongoDB and Microsoft.
Diversification Opportunities for MongoDB and Microsoft
Very weak diversification
The 3 months correlation between MongoDB and Microsoft is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding MongoDB and Microsoft in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Microsoft 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 Microsoft. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Microsoft has no effect on the direction of MongoDB i.e., MongoDB and Microsoft go up and down completely randomly.
Pair Corralation between MongoDB and Microsoft
Assuming the 90 days horizon MongoDB is expected to under-perform the Microsoft. In addition to that, MongoDB is 4.06 times more volatile than Microsoft. It trades about -0.2 of its total potential returns per unit of risk. Microsoft is currently generating about 0.25 per unit of volatility. If you would invest 39,470 in Microsoft on September 22, 2024 and sell it today you would earn a total of 2,640 from holding Microsoft or generate 6.69% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
MongoDB vs. Microsoft
Performance |
Timeline |
MongoDB |
Microsoft |
MongoDB and Microsoft Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MongoDB and Microsoft
The main advantage of trading using opposite MongoDB and Microsoft positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MongoDB position performs unexpectedly, Microsoft 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 Microsoft will offset losses from the drop in Microsoft's long position.The idea behind MongoDB and Microsoft 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.Microsoft vs. Adobe Inc | Microsoft vs. ADYEN NV UNSPADR001 | Microsoft vs. Square Inc | Microsoft vs. Adyen NV |
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.
Other Complementary Tools
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets |