Correlation Between Microsoft and Bambuser
Can any of the company-specific risk be diversified away by investing in both Microsoft and Bambuser 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 Microsoft and Bambuser into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Bambuser AB, you can compare the effects of market volatilities on Microsoft and Bambuser 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 Microsoft with a short position of Bambuser. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Bambuser.
Diversification Opportunities for Microsoft and Bambuser
Good diversification
The 3 months correlation between Microsoft and Bambuser is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Bambuser AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bambuser AB and Microsoft 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 Microsoft are associated (or correlated) with Bambuser. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bambuser AB has no effect on the direction of Microsoft i.e., Microsoft and Bambuser go up and down completely randomly.
Pair Corralation between Microsoft and Bambuser
Given the investment horizon of 90 days Microsoft is expected to generate 0.23 times more return on investment than Bambuser. However, Microsoft is 4.36 times less risky than Bambuser. It trades about 0.05 of its potential returns per unit of risk. Bambuser AB is currently generating about -0.1 per unit of risk. If you would invest 40,862 in Microsoft on September 3, 2024 and sell it today you would earn a total of 1,484 from holding Microsoft or generate 3.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.46% |
Values | Daily Returns |
Microsoft vs. Bambuser AB
Performance |
Timeline |
Microsoft |
Bambuser AB |
Microsoft and Bambuser Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and Bambuser
The main advantage of trading using opposite Microsoft and Bambuser positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Bambuser 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 Bambuser will offset losses from the drop in Bambuser's long position.Microsoft vs. Palo Alto Networks | Microsoft vs. Uipath Inc | Microsoft vs. Block Inc | Microsoft vs. Adobe Systems Incorporated |
Bambuser vs. Kancera AB | Bambuser vs. Terranet AB | Bambuser vs. Divio Technologies AB | Bambuser vs. Cantargia AB |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
Other Complementary Tools
Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
Transaction History View history of all your transactions and understand their impact on performance | |
Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |