Correlation Between Summit Materials and Bristol Myers
Can any of the company-specific risk be diversified away by investing in both Summit Materials and Bristol Myers 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 Summit Materials and Bristol Myers into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Summit Materials and Bristol Myers Squibb, you can compare the effects of market volatilities on Summit Materials and Bristol Myers 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 Summit Materials with a short position of Bristol Myers. Check out your portfolio center. Please also check ongoing floating volatility patterns of Summit Materials and Bristol Myers.
Diversification Opportunities for Summit Materials and Bristol Myers
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Summit and Bristol is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Summit Materials and Bristol Myers Squibb in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bristol Myers Squibb and Summit Materials 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 Summit Materials are associated (or correlated) with Bristol Myers. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bristol Myers Squibb has no effect on the direction of Summit Materials i.e., Summit Materials and Bristol Myers go up and down completely randomly.
Pair Corralation between Summit Materials and Bristol Myers
Considering the 90-day investment horizon Summit Materials is expected to generate 1.33 times more return on investment than Bristol Myers. However, Summit Materials is 1.33 times more volatile than Bristol Myers Squibb. It trades about 0.07 of its potential returns per unit of risk. Bristol Myers Squibb is currently generating about -0.01 per unit of risk. If you would invest 2,865 in Summit Materials on September 24, 2024 and sell it today you would earn a total of 2,185 from holding Summit Materials or generate 76.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Summit Materials vs. Bristol Myers Squibb
Performance |
Timeline |
Summit Materials |
Bristol Myers Squibb |
Summit Materials and Bristol Myers Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Summit Materials and Bristol Myers
The main advantage of trading using opposite Summit Materials and Bristol Myers positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Summit Materials position performs unexpectedly, Bristol Myers 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 Bristol Myers will offset losses from the drop in Bristol Myers' long position.Summit Materials vs. Cemex SAB de | Summit Materials vs. Martin Marietta Materials | Summit Materials vs. United States Lime | Summit Materials vs. James Hardie Industries |
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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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