Correlation Between Sumitomo Mitsui and Boston Scientific
Can any of the company-specific risk be diversified away by investing in both Sumitomo Mitsui 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 Sumitomo Mitsui and Boston Scientific into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sumitomo Mitsui Financial and Boston Scientific, you can compare the effects of market volatilities on Sumitomo Mitsui 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 Sumitomo Mitsui with a short position of Boston Scientific. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sumitomo Mitsui and Boston Scientific.
Diversification Opportunities for Sumitomo Mitsui and Boston Scientific
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Sumitomo and Boston is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Sumitomo Mitsui Financial and Boston Scientific in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Boston Scientific and Sumitomo Mitsui 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 Sumitomo Mitsui Financial 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 Sumitomo Mitsui i.e., Sumitomo Mitsui and Boston Scientific go up and down completely randomly.
Pair Corralation between Sumitomo Mitsui and Boston Scientific
Assuming the 90 days trading horizon Sumitomo Mitsui Financial is expected to generate 1.83 times more return on investment than Boston Scientific. However, Sumitomo Mitsui is 1.83 times more volatile than Boston Scientific. It trades about 0.2 of its potential returns per unit of risk. Boston Scientific is currently generating about 0.31 per unit of risk. If you would invest 6,937 in Sumitomo Mitsui Financial on September 29, 2024 and sell it today you would earn a total of 1,919 from holding Sumitomo Mitsui Financial or generate 27.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.39% |
Values | Daily Returns |
Sumitomo Mitsui Financial vs. Boston Scientific
Performance |
Timeline |
Sumitomo Mitsui Financial |
Boston Scientific |
Sumitomo Mitsui and Boston Scientific Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sumitomo Mitsui and Boston Scientific
The main advantage of trading using opposite Sumitomo Mitsui and Boston Scientific positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sumitomo Mitsui 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.Sumitomo Mitsui vs. Banco Santander SA | Sumitomo Mitsui vs. Visa Inc | Sumitomo Mitsui vs. Airbnb Inc | Sumitomo Mitsui vs. Microsoft |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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