Correlation Between Dataproces Group and Jyske Bank
Can any of the company-specific risk be diversified away by investing in both Dataproces Group and Jyske Bank 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 Dataproces Group and Jyske Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dataproces Group AS and Jyske Bank AS, you can compare the effects of market volatilities on Dataproces Group and Jyske Bank 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 Dataproces Group with a short position of Jyske Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dataproces Group and Jyske Bank.
Diversification Opportunities for Dataproces Group and Jyske Bank
-0.66 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Dataproces and Jyske is -0.66. Overlapping area represents the amount of risk that can be diversified away by holding Dataproces Group AS and Jyske Bank AS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jyske Bank AS and Dataproces Group 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 Dataproces Group AS are associated (or correlated) with Jyske Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jyske Bank AS has no effect on the direction of Dataproces Group i.e., Dataproces Group and Jyske Bank go up and down completely randomly.
Pair Corralation between Dataproces Group and Jyske Bank
Assuming the 90 days trading horizon Dataproces Group AS is expected to generate 2.41 times more return on investment than Jyske Bank. However, Dataproces Group is 2.41 times more volatile than Jyske Bank AS. It trades about 0.17 of its potential returns per unit of risk. Jyske Bank AS is currently generating about -0.03 per unit of risk. If you would invest 209.00 in Dataproces Group AS on August 27, 2024 and sell it today you would earn a total of 376.00 from holding Dataproces Group AS or generate 179.9% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Dataproces Group AS vs. Jyske Bank AS
Performance |
| Timeline |
| Dataproces Group |
| Jyske Bank AS |
Dataproces Group and Jyske Bank Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Dataproces Group and Jyske Bank
The main advantage of trading using opposite Dataproces Group and Jyske Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dataproces Group position performs unexpectedly, Jyske Bank 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 Jyske Bank will offset losses from the drop in Jyske Bank's long position.| Dataproces Group vs. Penneo AS | Dataproces Group vs. Bactiquant AS | Dataproces Group vs. cBrain AS | Dataproces Group vs. FOM Technologies AS |
| Jyske Bank vs. Dataproces Group AS | Jyske Bank vs. cBrain AS | Jyske Bank vs. ALK Abell AS | Jyske Bank vs. ChemoMetec AS |
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 Valuation module to check real value of public entities based on technical and fundamental data.
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