Correlation Between Kinnevik Investment and Serstech
Can any of the company-specific risk be diversified away by investing in both Kinnevik Investment and Serstech 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 Kinnevik Investment and Serstech into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kinnevik Investment AB and Serstech AB, you can compare the effects of market volatilities on Kinnevik Investment and Serstech 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 Kinnevik Investment with a short position of Serstech. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kinnevik Investment and Serstech.
Diversification Opportunities for Kinnevik Investment and Serstech
-0.78 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Kinnevik and Serstech is -0.78. Overlapping area represents the amount of risk that can be diversified away by holding Kinnevik Investment AB and Serstech AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Serstech AB and Kinnevik Investment 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 Kinnevik Investment AB are associated (or correlated) with Serstech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Serstech AB has no effect on the direction of Kinnevik Investment i.e., Kinnevik Investment and Serstech go up and down completely randomly.
Pair Corralation between Kinnevik Investment and Serstech
Assuming the 90 days trading horizon Kinnevik Investment AB is expected to generate 1.11 times more return on investment than Serstech. However, Kinnevik Investment is 1.11 times more volatile than Serstech AB. It trades about 0.16 of its potential returns per unit of risk. Serstech AB is currently generating about -0.15 per unit of risk. If you would invest 7,980 in Kinnevik Investment AB on April 25, 2025 and sell it today you would earn a total of 2,680 from holding Kinnevik Investment AB or generate 33.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kinnevik Investment AB vs. Serstech AB
Performance |
Timeline |
Kinnevik Investment |
Serstech AB |
Kinnevik Investment and Serstech Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kinnevik Investment and Serstech
The main advantage of trading using opposite Kinnevik Investment and Serstech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kinnevik Investment position performs unexpectedly, Serstech 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 Serstech will offset losses from the drop in Serstech's long position.Kinnevik Investment vs. Kinnevik Investment AB | Kinnevik Investment vs. Investor AB ser | Kinnevik Investment vs. Industrivarden AB ser | Kinnevik Investment vs. L E Lundbergfretagen |
Serstech vs. Enzymatica publ AB | Serstech vs. Polygiene AB | Serstech vs. Sprint Bioscience AB | Serstech vs. XMReality 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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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