Correlation Between Boston Scientific and Unity Software
Can any of the company-specific risk be diversified away by investing in both Boston Scientific and Unity Software 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 Boston Scientific and Unity Software into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Boston Scientific and Unity Software, you can compare the effects of market volatilities on Boston Scientific and Unity Software 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 Boston Scientific with a short position of Unity Software. Check out your portfolio center. Please also check ongoing floating volatility patterns of Boston Scientific and Unity Software.
Diversification Opportunities for Boston Scientific and Unity Software
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Boston and Unity is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Boston Scientific and Unity Software in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Unity Software and Boston Scientific 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 Boston Scientific are associated (or correlated) with Unity Software. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Unity Software has no effect on the direction of Boston Scientific i.e., Boston Scientific and Unity Software go up and down completely randomly.
Pair Corralation between Boston Scientific and Unity Software
Assuming the 90 days trading horizon Boston Scientific is expected to generate 0.32 times more return on investment than Unity Software. However, Boston Scientific is 3.14 times less risky than Unity Software. It trades about 0.27 of its potential returns per unit of risk. Unity Software is currently generating about 0.0 per unit of risk. If you would invest 51,948 in Boston Scientific on September 25, 2024 and sell it today you would earn a total of 3,510 from holding Boston Scientific or generate 6.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Boston Scientific vs. Unity Software
Performance |
Timeline |
Boston Scientific |
Unity Software |
Boston Scientific and Unity Software Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Boston Scientific and Unity Software
The main advantage of trading using opposite Boston Scientific and Unity Software positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Boston Scientific position performs unexpectedly, Unity Software 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 Unity Software will offset losses from the drop in Unity Software's long position.Boston Scientific vs. Cognizant Technology Solutions | Boston Scientific vs. Verizon Communications | Boston Scientific vs. Align Technology | Boston Scientific vs. Unity Software |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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