Correlation Between Diamyd Medical and Oncopeptides
Can any of the company-specific risk be diversified away by investing in both Diamyd Medical and Oncopeptides 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 Diamyd Medical and Oncopeptides into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Diamyd Medical AB and Oncopeptides AB, you can compare the effects of market volatilities on Diamyd Medical and Oncopeptides 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 Diamyd Medical with a short position of Oncopeptides. Check out your portfolio center. Please also check ongoing floating volatility patterns of Diamyd Medical and Oncopeptides.
Diversification Opportunities for Diamyd Medical and Oncopeptides
-0.15 | Correlation Coefficient |
Good diversification
The 3 months correlation between Diamyd and Oncopeptides is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding Diamyd Medical AB and Oncopeptides AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Oncopeptides AB and Diamyd Medical 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 Diamyd Medical AB are associated (or correlated) with Oncopeptides. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Oncopeptides AB has no effect on the direction of Diamyd Medical i.e., Diamyd Medical and Oncopeptides go up and down completely randomly.
Pair Corralation between Diamyd Medical and Oncopeptides
Assuming the 90 days trading horizon Diamyd Medical AB is expected to generate 0.79 times more return on investment than Oncopeptides. However, Diamyd Medical AB is 1.26 times less risky than Oncopeptides. It trades about 0.18 of its potential returns per unit of risk. Oncopeptides AB is currently generating about -0.15 per unit of risk. If you would invest 1,320 in Diamyd Medical AB on October 20, 2024 and sell it today you would earn a total of 496.00 from holding Diamyd Medical AB or generate 37.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Diamyd Medical AB vs. Oncopeptides AB
Performance |
Timeline |
Diamyd Medical AB |
Oncopeptides AB |
Diamyd Medical and Oncopeptides Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Diamyd Medical and Oncopeptides
The main advantage of trading using opposite Diamyd Medical and Oncopeptides positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Diamyd Medical position performs unexpectedly, Oncopeptides 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 Oncopeptides will offset losses from the drop in Oncopeptides' long position.Diamyd Medical vs. Cantargia AB | Diamyd Medical vs. Hansa Biopharma AB | Diamyd Medical vs. Saniona AB | Diamyd Medical vs. Mendus AB |
Oncopeptides vs. Hansa Biopharma AB | Oncopeptides vs. BioArctic AB | Oncopeptides vs. Sinch AB | Oncopeptides vs. Cantargia 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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