Correlation Between Regenerx Biopharm and AgeX Therapeutics
Can any of the company-specific risk be diversified away by investing in both Regenerx Biopharm and AgeX Therapeutics 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 Regenerx Biopharm and AgeX Therapeutics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Regenerx Biopharm In and AgeX Therapeutics, you can compare the effects of market volatilities on Regenerx Biopharm and AgeX Therapeutics 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 Regenerx Biopharm with a short position of AgeX Therapeutics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Regenerx Biopharm and AgeX Therapeutics.
Diversification Opportunities for Regenerx Biopharm and AgeX Therapeutics
-0.41 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Regenerx and AgeX is -0.41. Overlapping area represents the amount of risk that can be diversified away by holding Regenerx Biopharm In and AgeX Therapeutics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AgeX Therapeutics and Regenerx Biopharm 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 Regenerx Biopharm In are associated (or correlated) with AgeX Therapeutics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AgeX Therapeutics has no effect on the direction of Regenerx Biopharm i.e., Regenerx Biopharm and AgeX Therapeutics go up and down completely randomly.
Pair Corralation between Regenerx Biopharm and AgeX Therapeutics
If you would invest 74.00 in AgeX Therapeutics on August 31, 2024 and sell it today you would earn a total of 0.00 from holding AgeX Therapeutics or generate 0.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Regenerx Biopharm In vs. AgeX Therapeutics
Performance |
| Timeline |
| Regenerx Biopharm |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
| AgeX Therapeutics |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Regenerx Biopharm and AgeX Therapeutics Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Regenerx Biopharm and AgeX Therapeutics
The main advantage of trading using opposite Regenerx Biopharm and AgeX Therapeutics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Regenerx Biopharm position performs unexpectedly, AgeX Therapeutics 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 AgeX Therapeutics will offset losses from the drop in AgeX Therapeutics' long position.| Regenerx Biopharm vs. Fortress Biotech Pref | Regenerx Biopharm vs. Awakn Life Sciences | Regenerx Biopharm vs. Regen BioPharma | Regenerx Biopharm vs. Therapeutic Solutions International |
| AgeX Therapeutics vs. MAIA Biotechnology | AgeX Therapeutics vs. Larimar Therapeutics | AgeX Therapeutics vs. Lyra Therapeutics | AgeX Therapeutics vs. Lineage Cell Therapeutics |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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