Correlation Between Microsoft and Boston Scientific
Can any of the company-specific risk be diversified away by investing in both Microsoft and Boston Scientific 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 Boston Scientific into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Boston Scientific, you can compare the effects of market volatilities on Microsoft and Boston Scientific 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 Boston Scientific. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Boston Scientific.
Diversification Opportunities for Microsoft and Boston Scientific
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Microsoft and Boston is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Boston Scientific in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Boston Scientific 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 Boston Scientific. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Boston Scientific has no effect on the direction of Microsoft i.e., Microsoft and Boston Scientific go up and down completely randomly.
Pair Corralation between Microsoft and Boston Scientific
Given the investment horizon of 90 days Microsoft is expected to generate 27.5 times less return on investment than Boston Scientific. In addition to that, Microsoft is 1.18 times more volatile than Boston Scientific. It trades about 0.01 of its total potential returns per unit of risk. Boston Scientific is currently generating about 0.31 per unit of volatility. If you would invest 45,315 in Boston Scientific on September 29, 2024 and sell it today you would earn a total of 11,001 from holding Boston Scientific or generate 24.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.41% |
Values | Daily Returns |
Microsoft vs. Boston Scientific
Performance |
Timeline |
Microsoft |
Boston Scientific |
Microsoft and Boston Scientific Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and Boston Scientific
The main advantage of trading using opposite Microsoft and Boston Scientific positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Boston Scientific 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 Boston Scientific will offset losses from the drop in Boston Scientific's long position.Microsoft vs. Global Blue Group | Microsoft vs. Aurora Mobile | Microsoft vs. Marqeta | Microsoft vs. Nextnav Acquisition Corp |
Boston Scientific vs. GX AI TECH | Boston Scientific vs. Monster Beverage | Boston Scientific vs. Technos SA | Boston Scientific vs. Ross Stores |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
Other Complementary Tools
USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
FinTech Suite Use AI to screen and filter profitable investment opportunities | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk |