Correlation Between Bellicum Pharmaceuticals and Applied Molecular
Can any of the company-specific risk be diversified away by investing in both Bellicum Pharmaceuticals and Applied Molecular 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 Bellicum Pharmaceuticals and Applied Molecular into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bellicum Pharmaceuticals and Applied Molecular Transport, you can compare the effects of market volatilities on Bellicum Pharmaceuticals and Applied Molecular 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 Bellicum Pharmaceuticals with a short position of Applied Molecular. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bellicum Pharmaceuticals and Applied Molecular.
Diversification Opportunities for Bellicum Pharmaceuticals and Applied Molecular
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Bellicum and Applied is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Bellicum Pharmaceuticals and Applied Molecular Transport in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Applied Molecular and Bellicum Pharmaceuticals 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 Bellicum Pharmaceuticals are associated (or correlated) with Applied Molecular. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Applied Molecular has no effect on the direction of Bellicum Pharmaceuticals i.e., Bellicum Pharmaceuticals and Applied Molecular go up and down completely randomly.
Pair Corralation between Bellicum Pharmaceuticals and Applied Molecular
If you would invest (100.00) in Applied Molecular Transport on November 27, 2024 and sell it today you would earn a total of 100.00 from holding Applied Molecular Transport or generate -100.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Bellicum Pharmaceuticals vs. Applied Molecular Transport
Performance |
Timeline |
Bellicum Pharmaceuticals |
Risk-Adjusted Performance
Very Weak
Weak | Strong |
Applied Molecular |
Risk-Adjusted Performance
Very Weak
Weak | Strong |
Bellicum Pharmaceuticals and Applied Molecular Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bellicum Pharmaceuticals and Applied Molecular
The main advantage of trading using opposite Bellicum Pharmaceuticals and Applied Molecular positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bellicum Pharmaceuticals position performs unexpectedly, Applied Molecular 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 Applied Molecular will offset losses from the drop in Applied Molecular's long position.Bellicum Pharmaceuticals vs. Cellectis SA | Bellicum Pharmaceuticals vs. Adaptimmune Therapeutics Plc | Bellicum Pharmaceuticals vs. Atara Biotherapeutics | Bellicum Pharmaceuticals vs. Affimed NV |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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