Correlation Between Sherborne Investors and Boston Scientific
Can any of the company-specific risk be diversified away by investing in both Sherborne Investors 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 Sherborne Investors and Boston Scientific into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sherborne Investors Guernsey and Boston Scientific Corp, you can compare the effects of market volatilities on Sherborne Investors 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 Sherborne Investors with a short position of Boston Scientific. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sherborne Investors and Boston Scientific.
Diversification Opportunities for Sherborne Investors and Boston Scientific
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Sherborne and Boston is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Sherborne Investors Guernsey and Boston Scientific Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Boston Scientific Corp and Sherborne Investors 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 Sherborne Investors Guernsey 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 Corp has no effect on the direction of Sherborne Investors i.e., Sherborne Investors and Boston Scientific go up and down completely randomly.
Pair Corralation between Sherborne Investors and Boston Scientific
Assuming the 90 days trading horizon Sherborne Investors is expected to generate 31.1 times less return on investment than Boston Scientific. But when comparing it to its historical volatility, Sherborne Investors Guernsey is 1.25 times less risky than Boston Scientific. It trades about 0.0 of its potential returns per unit of risk. Boston Scientific Corp is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 8,328 in Boston Scientific Corp on September 25, 2024 and sell it today you would earn a total of 638.00 from holding Boston Scientific Corp or generate 7.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Sherborne Investors Guernsey vs. Boston Scientific Corp
Performance |
Timeline |
Sherborne Investors |
Boston Scientific Corp |
Sherborne Investors and Boston Scientific Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sherborne Investors and Boston Scientific
The main advantage of trading using opposite Sherborne Investors and Boston Scientific positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sherborne Investors 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.Sherborne Investors vs. Samsung Electronics Co | Sherborne Investors vs. Samsung Electronics Co | Sherborne Investors vs. Hyundai Motor | Sherborne Investors vs. Toyota Motor Corp |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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