Correlation Between Cantargia and Diamyd Medical
Can any of the company-specific risk be diversified away by investing in both Cantargia and Diamyd Medical 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 Diamyd Medical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cantargia AB and Diamyd Medical AB, you can compare the effects of market volatilities on Cantargia and Diamyd Medical 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 Diamyd Medical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cantargia and Diamyd Medical.
Diversification Opportunities for Cantargia and Diamyd Medical
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Cantargia and Diamyd is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding Cantargia AB and Diamyd Medical AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Diamyd Medical 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 Diamyd Medical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Diamyd Medical AB has no effect on the direction of Cantargia i.e., Cantargia and Diamyd Medical go up and down completely randomly.
Pair Corralation between Cantargia and Diamyd Medical
Assuming the 90 days trading horizon Cantargia AB is expected to under-perform the Diamyd Medical. But the stock apears to be less risky and, when comparing its historical volatility, Cantargia AB is 1.15 times less risky than Diamyd Medical. The stock trades about -0.07 of its potential returns per unit of risk. The Diamyd Medical AB is currently generating about 0.24 of returns per unit of risk over similar time horizon. If you would invest 1,596 in Diamyd Medical AB on October 21, 2024 and sell it today you would earn a total of 220.00 from holding Diamyd Medical AB or generate 13.78% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Cantargia AB vs. Diamyd Medical AB
Performance |
| Timeline |
| Cantargia AB |
| Diamyd Medical AB |
Cantargia and Diamyd Medical Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Cantargia and Diamyd Medical
The main advantage of trading using opposite Cantargia and Diamyd Medical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cantargia position performs unexpectedly, Diamyd Medical 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 Diamyd Medical will offset losses from the drop in Diamyd Medical's long position.| Cantargia vs. Hansa Biopharma AB | Cantargia vs. Oncopeptides AB | Cantargia vs. BioArctic AB | Cantargia vs. Alligator Bioscience AB |
| Diamyd Medical vs. Cantargia AB | Diamyd Medical vs. Hansa Biopharma AB | Diamyd Medical vs. Saniona AB | Diamyd Medical vs. Mendus 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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