Correlation Between Kamada and Bausch Health
Can any of the company-specific risk be diversified away by investing in both Kamada and Bausch Health 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 Kamada and Bausch Health into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kamada and Bausch Health Companies, you can compare the effects of market volatilities on Kamada and Bausch Health 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 Kamada with a short position of Bausch Health. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kamada and Bausch Health.
Diversification Opportunities for Kamada and Bausch Health
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Kamada and Bausch is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Kamada and Bausch Health Companies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bausch Health Companies and Kamada 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 Kamada are associated (or correlated) with Bausch Health. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bausch Health Companies has no effect on the direction of Kamada i.e., Kamada and Bausch Health go up and down completely randomly.
Pair Corralation between Kamada and Bausch Health
Given the investment horizon of 90 days Kamada is expected to generate 2.52 times less return on investment than Bausch Health. But when comparing it to its historical volatility, Kamada is 1.54 times less risky than Bausch Health. It trades about 0.05 of its potential returns per unit of risk. Bausch Health Companies is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 620.00 in Bausch Health Companies on September 2, 2024 and sell it today you would earn a total of 217.00 from holding Bausch Health Companies or generate 35.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Kamada vs. Bausch Health Companies
Performance |
| Timeline |
| Kamada |
| Bausch Health Companies |
Kamada and Bausch Health Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Kamada and Bausch Health
The main advantage of trading using opposite Kamada and Bausch Health positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kamada position performs unexpectedly, Bausch Health 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 Bausch Health will offset losses from the drop in Bausch Health's long position.| Kamada vs. Lifecore Biomedical | Kamada vs. Shuttle Pharmaceuticals | Kamada vs. Cumberland Pharmaceuticals | Kamada vs. Ironwood Pharmaceuticals |
| Bausch Health vs. Crinetics Pharmaceuticals | Bausch Health vs. Enanta Pharmaceuticals | Bausch Health vs. Amicus Therapeutics | Bausch Health vs. Connect Biopharma 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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