Correlation Between Cantargia and Active Biotech
Can any of the company-specific risk be diversified away by investing in both Cantargia and Active Biotech 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 Cantargia and Active Biotech into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cantargia AB and Active Biotech AB, you can compare the effects of market volatilities on Cantargia and Active Biotech 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 Cantargia with a short position of Active Biotech. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cantargia and Active Biotech.
Diversification Opportunities for Cantargia and Active Biotech
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Cantargia and Active is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Cantargia AB and Active Biotech AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Active Biotech AB and Cantargia 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 Cantargia AB are associated (or correlated) with Active Biotech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Active Biotech AB has no effect on the direction of Cantargia i.e., Cantargia and Active Biotech go up and down completely randomly.
Pair Corralation between Cantargia and Active Biotech
Assuming the 90 days trading horizon Cantargia AB is expected to under-perform the Active Biotech. But the stock apears to be less risky and, when comparing its historical volatility, Cantargia AB is 4.52 times less risky than Active Biotech. The stock trades about -0.17 of its potential returns per unit of risk. The Active Biotech AB is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 44.00 in Active Biotech AB on August 31, 2024 and sell it today you would lose (19.00) from holding Active Biotech AB or give up 43.18% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Cantargia AB vs. Active Biotech AB
Performance |
Timeline |
Cantargia AB |
Active Biotech AB |
Cantargia and Active Biotech Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cantargia and Active Biotech
The main advantage of trading using opposite Cantargia and Active Biotech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cantargia position performs unexpectedly, Active Biotech 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 Active Biotech will offset losses from the drop in Active Biotech's long position.Cantargia vs. Hansa Biopharma AB | Cantargia vs. Oncopeptides AB | Cantargia vs. BioArctic AB | Cantargia vs. Alligator Bioscience AB |
Active Biotech vs. Cantargia AB | Active Biotech vs. BioArctic AB | Active Biotech vs. Oncopeptides AB | Active Biotech vs. Hansa Biopharma AB |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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