Correlation Between BioNTech and Catalyst Pharmaceuticals
Can any of the company-specific risk be diversified away by investing in both BioNTech and Catalyst Pharmaceuticals 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 BioNTech and Catalyst Pharmaceuticals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BioNTech SE and Catalyst Pharmaceuticals, you can compare the effects of market volatilities on BioNTech and Catalyst Pharmaceuticals 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 BioNTech with a short position of Catalyst Pharmaceuticals. Check out your portfolio center. Please also check ongoing floating volatility patterns of BioNTech and Catalyst Pharmaceuticals.
Diversification Opportunities for BioNTech and Catalyst Pharmaceuticals
-0.36 | Correlation Coefficient |
Very good diversification
The 3 months correlation between BioNTech and Catalyst is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding BioNTech SE and Catalyst Pharmaceuticals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Catalyst Pharmaceuticals and BioNTech 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 BioNTech SE are associated (or correlated) with Catalyst Pharmaceuticals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Catalyst Pharmaceuticals has no effect on the direction of BioNTech i.e., BioNTech and Catalyst Pharmaceuticals go up and down completely randomly.
Pair Corralation between BioNTech and Catalyst Pharmaceuticals
Given the investment horizon of 90 days BioNTech SE is expected to under-perform the Catalyst Pharmaceuticals. In addition to that, BioNTech is 1.38 times more volatile than Catalyst Pharmaceuticals. It trades about -0.01 of its total potential returns per unit of risk. Catalyst Pharmaceuticals is currently generating about 0.05 per unit of volatility. If you would invest 2,044 in Catalyst Pharmaceuticals on September 17, 2024 and sell it today you would earn a total of 94.00 from holding Catalyst Pharmaceuticals or generate 4.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
BioNTech SE vs. Catalyst Pharmaceuticals
Performance |
Timeline |
BioNTech SE |
Catalyst Pharmaceuticals |
BioNTech and Catalyst Pharmaceuticals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BioNTech and Catalyst Pharmaceuticals
The main advantage of trading using opposite BioNTech and Catalyst Pharmaceuticals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BioNTech position performs unexpectedly, Catalyst Pharmaceuticals 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 Catalyst Pharmaceuticals will offset losses from the drop in Catalyst Pharmaceuticals' long position.BioNTech vs. Puma Biotechnology | BioNTech vs. Iovance Biotherapeutics | BioNTech vs. Zentalis Pharmaceuticals Llc | BioNTech vs. Syndax Pharmaceuticals |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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