Correlation Between Bristol Myers and Johnson Johnson
Can any of the company-specific risk be diversified away by investing in both Bristol Myers and Johnson Johnson 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 Bristol Myers and Johnson Johnson into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bristol Myers Squibb and Johnson Johnson, you can compare the effects of market volatilities on Bristol Myers and Johnson Johnson 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 Bristol Myers with a short position of Johnson Johnson. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bristol Myers and Johnson Johnson.
Diversification Opportunities for Bristol Myers and Johnson Johnson
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Bristol and Johnson is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding Bristol-Myers Squibb and Johnson Johnson in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Johnson Johnson and Bristol Myers 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 Bristol Myers Squibb are associated (or correlated) with Johnson Johnson. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Johnson Johnson has no effect on the direction of Bristol Myers i.e., Bristol Myers and Johnson Johnson go up and down completely randomly.
Pair Corralation between Bristol Myers and Johnson Johnson
Considering the 90-day investment horizon Bristol Myers Squibb is expected to generate 1.74 times more return on investment than Johnson Johnson. However, Bristol Myers is 1.74 times more volatile than Johnson Johnson. It trades about 0.24 of its potential returns per unit of risk. Johnson Johnson is currently generating about -0.13 per unit of risk. If you would invest 5,092 in Bristol Myers Squibb on December 30, 2023 and sell it today you would earn a total of 331.00 from holding Bristol Myers Squibb or generate 6.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bristol-Myers Squibb vs. Johnson Johnson
Performance |
Timeline |
Bristol-Myers Squibb |
Johnson Johnson |
Bristol Myers and Johnson Johnson Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bristol Myers and Johnson Johnson
The main advantage of trading using opposite Bristol Myers and Johnson Johnson positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bristol Myers position performs unexpectedly, Johnson Johnson 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 Johnson Johnson will offset losses from the drop in Johnson Johnson's long position.Bristol Myers vs. Chevron Corp | Bristol Myers vs. McDonalds | Bristol Myers vs. Bank Of America | Bristol Myers vs. Alcoa Corp |
Johnson Johnson vs. Chevron Corp | Johnson Johnson vs. McDonalds | Johnson Johnson vs. Bank Of America | Johnson Johnson vs. Alcoa Corp |
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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