Correlation Between Bausch Health and TC BioPharm
Can any of the company-specific risk be diversified away by investing in both Bausch Health and TC BioPharm 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 Health and TC BioPharm into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bausch Health Companies and TC BioPharm Holdings, you can compare the effects of market volatilities on Bausch Health and TC BioPharm 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 Health with a short position of TC BioPharm. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bausch Health and TC BioPharm.
Diversification Opportunities for Bausch Health and TC BioPharm
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Bausch and TCBP is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Bausch Health Companies and TC BioPharm Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TC BioPharm Holdings and Bausch Health 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 Health Companies are associated (or correlated) with TC BioPharm. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TC BioPharm Holdings has no effect on the direction of Bausch Health i.e., Bausch Health and TC BioPharm go up and down completely randomly.
Pair Corralation between Bausch Health and TC BioPharm
Considering the 90-day investment horizon Bausch Health Companies is expected to generate 0.24 times more return on investment than TC BioPharm. However, Bausch Health Companies is 4.22 times less risky than TC BioPharm. It trades about -0.06 of its potential returns per unit of risk. TC BioPharm Holdings is currently generating about -0.34 per unit of risk. If you would invest 765.00 in Bausch Health Companies on December 27, 2024 and sell it today you would lose (98.50) from holding Bausch Health Companies or give up 12.88% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 95.08% |
Values | Daily Returns |
Bausch Health Companies vs. TC BioPharm Holdings
Performance |
Timeline |
Bausch Health Companies |
TC BioPharm Holdings |
Bausch Health and TC BioPharm Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bausch Health and TC BioPharm
The main advantage of trading using opposite Bausch Health and TC BioPharm positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bausch Health position performs unexpectedly, TC BioPharm 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 TC BioPharm will offset losses from the drop in TC BioPharm's long position.Bausch Health vs. Viatris | Bausch Health vs. Tilray Inc | Bausch Health vs. Zoetis Inc | Bausch Health vs. Emergent Biosolutions |
TC BioPharm vs. ZyVersa Therapeutics | TC BioPharm vs. Palisade Bio | TC BioPharm vs. Unicycive Therapeutics | TC BioPharm vs. Immix Biopharma |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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