Correlation Between Adagene and Puma Biotechnology
Can any of the company-specific risk be diversified away by investing in both Adagene and Puma Biotechnology 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 Adagene and Puma Biotechnology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Adagene and Puma Biotechnology, you can compare the effects of market volatilities on Adagene and Puma Biotechnology 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 Adagene with a short position of Puma Biotechnology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Adagene and Puma Biotechnology.
Diversification Opportunities for Adagene and Puma Biotechnology
0.03 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Adagene and Puma is 0.03. Overlapping area represents the amount of risk that can be diversified away by holding Adagene and Puma Biotechnology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Puma Biotechnology and Adagene 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 Adagene are associated (or correlated) with Puma Biotechnology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Puma Biotechnology has no effect on the direction of Adagene i.e., Adagene and Puma Biotechnology go up and down completely randomly.
Pair Corralation between Adagene and Puma Biotechnology
Given the investment horizon of 90 days Adagene is expected to under-perform the Puma Biotechnology. In addition to that, Adagene is 1.38 times more volatile than Puma Biotechnology. It trades about -0.04 of its total potential returns per unit of risk. Puma Biotechnology is currently generating about 0.07 per unit of volatility. If you would invest 252.00 in Puma Biotechnology on September 16, 2024 and sell it today you would earn a total of 36.00 from holding Puma Biotechnology or generate 14.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Adagene vs. Puma Biotechnology
Performance |
Timeline |
Adagene |
Puma Biotechnology |
Adagene and Puma Biotechnology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Adagene and Puma Biotechnology
The main advantage of trading using opposite Adagene and Puma Biotechnology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Adagene position performs unexpectedly, Puma Biotechnology 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 Puma Biotechnology will offset losses from the drop in Puma Biotechnology's long position.Adagene vs. Puma Biotechnology | Adagene vs. Iovance Biotherapeutics | Adagene vs. Zentalis Pharmaceuticals Llc | Adagene vs. Syndax Pharmaceuticals |
Puma Biotechnology vs. Ultragenyx | Puma Biotechnology vs. Crinetics Pharmaceuticals | Puma Biotechnology vs. Arvinas | Puma Biotechnology vs. Revolution Medicines |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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