Correlation Between Derwent London and Boston Scientific
Can any of the company-specific risk be diversified away by investing in both Derwent London 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 Derwent London and Boston Scientific into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Derwent London PLC and Boston Scientific Corp, you can compare the effects of market volatilities on Derwent London 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 Derwent London with a short position of Boston Scientific. Check out your portfolio center. Please also check ongoing floating volatility patterns of Derwent London and Boston Scientific.
Diversification Opportunities for Derwent London and Boston Scientific
-0.81 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Derwent and Boston is -0.81. Overlapping area represents the amount of risk that can be diversified away by holding Derwent London PLC 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 Derwent London 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 Derwent London PLC 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 Derwent London i.e., Derwent London and Boston Scientific go up and down completely randomly.
Pair Corralation between Derwent London and Boston Scientific
Assuming the 90 days trading horizon Derwent London PLC is expected to under-perform the Boston Scientific. In addition to that, Derwent London is 1.35 times more volatile than Boston Scientific Corp. It trades about -0.33 of its total potential returns per unit of risk. Boston Scientific Corp is currently generating about -0.01 per unit of volatility. If you would invest 8,938 in Boston Scientific Corp on September 24, 2024 and sell it today you would lose (21.00) from holding Boston Scientific Corp or give up 0.23% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Derwent London PLC vs. Boston Scientific Corp
Performance |
Timeline |
Derwent London PLC |
Boston Scientific Corp |
Derwent London and Boston Scientific Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Derwent London and Boston Scientific
The main advantage of trading using opposite Derwent London and Boston Scientific positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Derwent London 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.Derwent London vs. Hammerson PLC | Derwent London vs. Workspace Group PLC | Derwent London vs. Supermarket Income REIT | Derwent London vs. Molson Coors Beverage |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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