Correlation Between Svenska Handelsbanken and Getinge AB
Can any of the company-specific risk be diversified away by investing in both Svenska Handelsbanken and Getinge AB 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 Svenska Handelsbanken and Getinge AB into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Svenska Handelsbanken AB and Getinge AB ser, you can compare the effects of market volatilities on Svenska Handelsbanken and Getinge AB 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 Svenska Handelsbanken with a short position of Getinge AB. Check out your portfolio center. Please also check ongoing floating volatility patterns of Svenska Handelsbanken and Getinge AB.
Diversification Opportunities for Svenska Handelsbanken and Getinge AB
-0.82 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Svenska and Getinge is -0.82. Overlapping area represents the amount of risk that can be diversified away by holding Svenska Handelsbanken AB and Getinge AB ser in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Getinge AB ser and Svenska Handelsbanken 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 Svenska Handelsbanken AB are associated (or correlated) with Getinge AB. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Getinge AB ser has no effect on the direction of Svenska Handelsbanken i.e., Svenska Handelsbanken and Getinge AB go up and down completely randomly.
Pair Corralation between Svenska Handelsbanken and Getinge AB
Assuming the 90 days trading horizon Svenska Handelsbanken AB is expected to generate 0.8 times more return on investment than Getinge AB. However, Svenska Handelsbanken AB is 1.24 times less risky than Getinge AB. It trades about 0.15 of its potential returns per unit of risk. Getinge AB ser is currently generating about -0.22 per unit of risk. If you would invest 13,250 in Svenska Handelsbanken AB on September 12, 2024 and sell it today you would earn a total of 1,730 from holding Svenska Handelsbanken AB or generate 13.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Svenska Handelsbanken AB vs. Getinge AB ser
Performance |
Timeline |
Svenska Handelsbanken |
Getinge AB ser |
Svenska Handelsbanken and Getinge AB Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Svenska Handelsbanken and Getinge AB
The main advantage of trading using opposite Svenska Handelsbanken and Getinge AB positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Svenska Handelsbanken position performs unexpectedly, Getinge AB 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 Getinge AB will offset losses from the drop in Getinge AB's long position.Svenska Handelsbanken vs. Svenska Handelsbanken AB | Svenska Handelsbanken vs. Nordea Bank Abp | Svenska Handelsbanken vs. Atlas Copco AB | Svenska Handelsbanken vs. Skandinaviska Enskilda Banken |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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