Correlation Between Scynexis and Bausch Health
Can any of the company-specific risk be diversified away by investing in both Scynexis 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 Scynexis and Bausch Health into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Scynexis and Bausch Health Companies, you can compare the effects of market volatilities on Scynexis 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 Scynexis with a short position of Bausch Health. Check out your portfolio center. Please also check ongoing floating volatility patterns of Scynexis and Bausch Health.
Diversification Opportunities for Scynexis and Bausch Health
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between Scynexis and Bausch is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Scynexis 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 Scynexis 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 Scynexis 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 Scynexis i.e., Scynexis and Bausch Health go up and down completely randomly.
Pair Corralation between Scynexis and Bausch Health
Given the investment horizon of 90 days Scynexis is expected to under-perform the Bausch Health. In addition to that, Scynexis is 1.04 times more volatile than Bausch Health Companies. It trades about -0.11 of its total potential returns per unit of risk. Bausch Health Companies is currently generating about 0.09 per unit of volatility. 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 Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Scynexis vs. Bausch Health Companies
Performance |
| Timeline |
| Scynexis |
| Bausch Health Companies |
Scynexis and Bausch Health Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Scynexis and Bausch Health
The main advantage of trading using opposite Scynexis and Bausch Health positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Scynexis 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.| Scynexis vs. Biofrontera | Scynexis vs. Shuttle Pharmaceuticals | Scynexis vs. Akanda Corp | Scynexis vs. China Pharma Holdings |
| 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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