Correlation Between Immunovia Publ and ADDvise Group
Can any of the company-specific risk be diversified away by investing in both Immunovia Publ and ADDvise Group 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 Immunovia Publ and ADDvise Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Immunovia publ AB and ADDvise Group AB, you can compare the effects of market volatilities on Immunovia Publ and ADDvise Group 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 Immunovia Publ with a short position of ADDvise Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Immunovia Publ and ADDvise Group.
Diversification Opportunities for Immunovia Publ and ADDvise Group
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Immunovia and ADDvise is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Immunovia publ AB and ADDvise Group AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ADDvise Group AB and Immunovia Publ 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 Immunovia publ AB are associated (or correlated) with ADDvise Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ADDvise Group AB has no effect on the direction of Immunovia Publ i.e., Immunovia Publ and ADDvise Group go up and down completely randomly.
Pair Corralation between Immunovia Publ and ADDvise Group
Assuming the 90 days trading horizon Immunovia publ AB is expected to generate 4.07 times more return on investment than ADDvise Group. However, Immunovia Publ is 4.07 times more volatile than ADDvise Group AB. It trades about 0.02 of its potential returns per unit of risk. ADDvise Group AB is currently generating about -0.03 per unit of risk. If you would invest 181.00 in Immunovia publ AB on September 3, 2024 and sell it today you would lose (96.00) from holding Immunovia publ AB or give up 53.04% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Immunovia publ AB vs. ADDvise Group AB
Performance |
| Timeline |
| Immunovia publ AB |
| ADDvise Group AB |
Immunovia Publ and ADDvise Group Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Immunovia Publ and ADDvise Group
The main advantage of trading using opposite Immunovia Publ and ADDvise Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Immunovia Publ position performs unexpectedly, ADDvise Group 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 ADDvise Group will offset losses from the drop in ADDvise Group's long position.| Immunovia Publ vs. Oncopeptides AB | Immunovia Publ vs. Hansa Biopharma AB | Immunovia Publ vs. Cantargia AB | Immunovia Publ vs. Camurus AB |
| ADDvise Group vs. ADDvise Group B | ADDvise Group vs. Hanza AB | ADDvise Group vs. Awardit AB | ADDvise Group vs. Doxa 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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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