Correlation Between Bausch Lomb and Air Transport
Can any of the company-specific risk be diversified away by investing in both Bausch Lomb and Air Transport 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 Air Transport 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 Air Transport Services, you can compare the effects of market volatilities on Bausch Lomb and Air Transport 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 Air Transport. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bausch Lomb and Air Transport.
Diversification Opportunities for Bausch Lomb and Air Transport
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Bausch and Air is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Bausch Lomb Corp and Air Transport Services in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Air Transport Services 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 Air Transport. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Air Transport Services has no effect on the direction of Bausch Lomb i.e., Bausch Lomb and Air Transport go up and down completely randomly.
Pair Corralation between Bausch Lomb and Air Transport
Given the investment horizon of 90 days Bausch Lomb Corp is expected to generate 0.68 times more return on investment than Air Transport. However, Bausch Lomb Corp is 1.47 times less risky than Air Transport. It trades about 0.03 of its potential returns per unit of risk. Air Transport Services is currently generating about 0.0 per unit of risk. If you would invest 1,536 in Bausch Lomb Corp on September 2, 2024 and sell it today you would earn a total of 446.00 from holding Bausch Lomb Corp or generate 29.04% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bausch Lomb Corp vs. Air Transport Services
Performance |
| Timeline |
| Bausch Lomb Corp |
| Air Transport Services |
Bausch Lomb and Air Transport Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bausch Lomb and Air Transport
The main advantage of trading using opposite Bausch Lomb and Air Transport positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bausch Lomb position performs unexpectedly, Air Transport 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 Air Transport will offset losses from the drop in Air Transport's long position.| Bausch Lomb vs. The Cooper Companies, | Bausch Lomb vs. ICU Medical | Bausch Lomb vs. Hologic | Bausch Lomb vs. Becton Dickinson and |
| Air Transport vs. Copa Holdings SA | Air Transport vs. SkyWest | Air Transport vs. Sun Country Airlines | Air Transport vs. Frontier Group Holdings |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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