Correlation Between Getinge AB and Q Linea
Can any of the company-specific risk be diversified away by investing in both Getinge AB and Q Linea 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 Getinge AB and Q Linea into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Getinge AB ser and Q linea AB, you can compare the effects of market volatilities on Getinge AB and Q Linea 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 Getinge AB with a short position of Q Linea. Check out your portfolio center. Please also check ongoing floating volatility patterns of Getinge AB and Q Linea.
Diversification Opportunities for Getinge AB and Q Linea
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Getinge and QLINEA is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding Getinge AB ser and Q linea AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Q linea AB and Getinge AB 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 Getinge AB ser are associated (or correlated) with Q Linea. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Q linea AB has no effect on the direction of Getinge AB i.e., Getinge AB and Q Linea go up and down completely randomly.
Pair Corralation between Getinge AB and Q Linea
Assuming the 90 days trading horizon Getinge AB ser is expected to generate 0.33 times more return on investment than Q Linea. However, Getinge AB ser is 3.03 times less risky than Q Linea. It trades about -0.22 of its potential returns per unit of risk. Q linea AB is currently generating about -0.32 per unit of risk. If you would invest 22,090 in Getinge AB ser on September 12, 2024 and sell it today you would lose (4,775) from holding Getinge AB ser or give up 21.62% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Getinge AB ser vs. Q linea AB
Performance |
Timeline |
Getinge AB ser |
Q linea AB |
Getinge AB and Q Linea Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Getinge AB and Q Linea
The main advantage of trading using opposite Getinge AB and Q Linea positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Getinge AB position performs unexpectedly, Q Linea 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 Q Linea will offset losses from the drop in Q Linea's long position.The idea behind Getinge AB ser and Q linea AB pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Q Linea vs. Immunovia publ AB | Q Linea vs. Camurus AB | Q Linea vs. Hansa Biopharma AB | Q Linea vs. Bonesupport Holding 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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