Correlation Between Bausch Lomb and Milestone Scientific
Can any of the company-specific risk be diversified away by investing in both Bausch Lomb and Milestone 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 Bausch Lomb and Milestone Scientific into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bausch Lomb Corp and Milestone Scientific, you can compare the effects of market volatilities on Bausch Lomb and Milestone 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 Bausch Lomb with a short position of Milestone Scientific. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bausch Lomb and Milestone Scientific.
Diversification Opportunities for Bausch Lomb and Milestone Scientific
-0.58 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Bausch and Milestone is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding Bausch Lomb Corp and Milestone Scientific in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Milestone Scientific and Bausch Lomb 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 Bausch Lomb Corp are associated (or correlated) with Milestone Scientific. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Milestone Scientific has no effect on the direction of Bausch Lomb i.e., Bausch Lomb and Milestone Scientific go up and down completely randomly.
Pair Corralation between Bausch Lomb and Milestone Scientific
Given the investment horizon of 90 days Bausch Lomb Corp is expected to generate 0.51 times more return on investment than Milestone Scientific. However, Bausch Lomb Corp is 1.97 times less risky than Milestone Scientific. It trades about 0.13 of its potential returns per unit of risk. Milestone Scientific is currently generating about 0.02 per unit of risk. If you would invest 1,625 in Bausch Lomb Corp on September 2, 2024 and sell it today you would earn a total of 357.00 from holding Bausch Lomb Corp or generate 21.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bausch Lomb Corp vs. Milestone Scientific
Performance |
Timeline |
Bausch Lomb Corp |
Milestone Scientific |
Bausch Lomb and Milestone Scientific Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bausch Lomb and Milestone Scientific
The main advantage of trading using opposite Bausch Lomb and Milestone Scientific positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bausch Lomb position performs unexpectedly, Milestone 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 Milestone Scientific will offset losses from the drop in Milestone Scientific's long position.Bausch Lomb vs. The Cooper Companies, | Bausch Lomb vs. ICU Medical | Bausch Lomb vs. Hologic | Bausch Lomb vs. Becton Dickinson and |
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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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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