Correlation Between GT Biopharma and Regen BioPharma
Can any of the company-specific risk be diversified away by investing in both GT Biopharma and Regen BioPharma 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 GT Biopharma and Regen BioPharma into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GT Biopharma and Regen BioPharma, you can compare the effects of market volatilities on GT Biopharma and Regen BioPharma 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 GT Biopharma with a short position of Regen BioPharma. Check out your portfolio center. Please also check ongoing floating volatility patterns of GT Biopharma and Regen BioPharma.
Diversification Opportunities for GT Biopharma and Regen BioPharma
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between GTBP and Regen is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding GT Biopharma and Regen BioPharma in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Regen BioPharma and GT Biopharma 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 GT Biopharma are associated (or correlated) with Regen BioPharma. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Regen BioPharma has no effect on the direction of GT Biopharma i.e., GT Biopharma and Regen BioPharma go up and down completely randomly.
Pair Corralation between GT Biopharma and Regen BioPharma
Given the investment horizon of 90 days GT Biopharma is expected to under-perform the Regen BioPharma. But the stock apears to be less risky and, when comparing its historical volatility, GT Biopharma is 2.57 times less risky than Regen BioPharma. The stock trades about -0.06 of its potential returns per unit of risk. The Regen BioPharma is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 5.20 in Regen BioPharma on December 28, 2024 and sell it today you would earn a total of 0.38 from holding Regen BioPharma or generate 7.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 96.77% |
Values | Daily Returns |
GT Biopharma vs. Regen BioPharma
Performance |
Timeline |
GT Biopharma |
Regen BioPharma |
GT Biopharma and Regen BioPharma Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GT Biopharma and Regen BioPharma
The main advantage of trading using opposite GT Biopharma and Regen BioPharma positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GT Biopharma position performs unexpectedly, Regen BioPharma 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 Regen BioPharma will offset losses from the drop in Regen BioPharma's long position.GT Biopharma vs. Allarity Therapeutics | GT Biopharma vs. Virax Biolabs Group | GT Biopharma vs. Quoin Pharmaceuticals Ltd | GT Biopharma vs. Virpax Pharmaceuticals |
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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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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