Correlation Between Puma Biotechnology and Sera Prognostics
Can any of the company-specific risk be diversified away by investing in both Puma Biotechnology and Sera Prognostics 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 Puma Biotechnology and Sera Prognostics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Puma Biotechnology and Sera Prognostics, you can compare the effects of market volatilities on Puma Biotechnology and Sera Prognostics 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 Puma Biotechnology with a short position of Sera Prognostics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Puma Biotechnology and Sera Prognostics.
Diversification Opportunities for Puma Biotechnology and Sera Prognostics
-0.17 | Correlation Coefficient |
Good diversification
The 3 months correlation between Puma and Sera is -0.17. Overlapping area represents the amount of risk that can be diversified away by holding Puma Biotechnology and Sera Prognostics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sera Prognostics and Puma Biotechnology 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 Puma Biotechnology are associated (or correlated) with Sera Prognostics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sera Prognostics has no effect on the direction of Puma Biotechnology i.e., Puma Biotechnology and Sera Prognostics go up and down completely randomly.
Pair Corralation between Puma Biotechnology and Sera Prognostics
Given the investment horizon of 90 days Puma Biotechnology is expected to generate 0.99 times more return on investment than Sera Prognostics. However, Puma Biotechnology is 1.02 times less risky than Sera Prognostics. It trades about 0.03 of its potential returns per unit of risk. Sera Prognostics is currently generating about -0.21 per unit of risk. If you would invest 315.00 in Puma Biotechnology on December 26, 2024 and sell it today you would earn a total of 10.00 from holding Puma Biotechnology or generate 3.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Puma Biotechnology vs. Sera Prognostics
Performance |
Timeline |
Puma Biotechnology |
Sera Prognostics |
Puma Biotechnology and Sera Prognostics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Puma Biotechnology and Sera Prognostics
The main advantage of trading using opposite Puma Biotechnology and Sera Prognostics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Puma Biotechnology position performs unexpectedly, Sera Prognostics 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 Sera Prognostics will offset losses from the drop in Sera Prognostics' long position.Puma Biotechnology vs. Ultragenyx | Puma Biotechnology vs. Crinetics Pharmaceuticals | Puma Biotechnology vs. Arvinas | Puma Biotechnology vs. Revolution Medicines |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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