Correlation Between Boston Scientific and Derwent London
Can any of the company-specific risk be diversified away by investing in both Boston Scientific and Derwent London 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 Derwent London into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Boston Scientific Corp and Derwent London PLC, you can compare the effects of market volatilities on Boston Scientific and Derwent London 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 Derwent London. Check out your portfolio center. Please also check ongoing floating volatility patterns of Boston Scientific and Derwent London.
Diversification Opportunities for Boston Scientific and Derwent London
-0.74 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Boston and Derwent is -0.74. Overlapping area represents the amount of risk that can be diversified away by holding Boston Scientific Corp and Derwent London PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Derwent London PLC 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 Corp are associated (or correlated) with Derwent London. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Derwent London PLC has no effect on the direction of Boston Scientific i.e., Boston Scientific and Derwent London go up and down completely randomly.
Pair Corralation between Boston Scientific and Derwent London
Assuming the 90 days trading horizon Boston Scientific Corp is expected to generate 1.32 times more return on investment than Derwent London. However, Boston Scientific is 1.32 times more volatile than Derwent London PLC. It trades about 0.26 of its potential returns per unit of risk. Derwent London PLC is currently generating about -0.42 per unit of risk. If you would invest 9,046 in Boston Scientific Corp on October 12, 2024 and sell it today you would earn a total of 644.00 from holding Boston Scientific Corp or generate 7.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Boston Scientific Corp vs. Derwent London PLC
Performance |
Timeline |
Boston Scientific Corp |
Derwent London PLC |
Boston Scientific and Derwent London Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Boston Scientific and Derwent London
The main advantage of trading using opposite Boston Scientific and Derwent London positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Boston Scientific position performs unexpectedly, Derwent London 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 Derwent London will offset losses from the drop in Derwent London's long position.Boston Scientific vs. Wheaton Precious Metals | Boston Scientific vs. Zegona Communications Plc | Boston Scientific vs. Lundin Mining Corp | Boston Scientific vs. Metals Exploration Plc |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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