Correlation Between Kreditbanken and Dataproces Group
Can any of the company-specific risk be diversified away by investing in both Kreditbanken and Dataproces 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 Kreditbanken and Dataproces Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kreditbanken AS and Dataproces Group AS, you can compare the effects of market volatilities on Kreditbanken and Dataproces 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 Kreditbanken with a short position of Dataproces Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kreditbanken and Dataproces Group.
Diversification Opportunities for Kreditbanken and Dataproces Group
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Kreditbanken and Dataproces is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding Kreditbanken AS and Dataproces Group AS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dataproces Group and Kreditbanken 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 Kreditbanken AS are associated (or correlated) with Dataproces Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dataproces Group has no effect on the direction of Kreditbanken i.e., Kreditbanken and Dataproces Group go up and down completely randomly.
Pair Corralation between Kreditbanken and Dataproces Group
Assuming the 90 days trading horizon Kreditbanken is expected to generate 3.2 times less return on investment than Dataproces Group. But when comparing it to its historical volatility, Kreditbanken AS is 2.67 times less risky than Dataproces Group. It trades about 0.04 of its potential returns per unit of risk. Dataproces Group AS is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 505.00 in Dataproces Group AS on October 7, 2024 and sell it today you would earn a total of 75.00 from holding Dataproces Group AS or generate 14.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kreditbanken AS vs. Dataproces Group AS
Performance |
Timeline |
Kreditbanken AS |
Dataproces Group |
Kreditbanken and Dataproces Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kreditbanken and Dataproces Group
The main advantage of trading using opposite Kreditbanken and Dataproces Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kreditbanken position performs unexpectedly, Dataproces 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 Dataproces Group will offset losses from the drop in Dataproces Group's long position.Kreditbanken vs. Lollands Bank | Kreditbanken vs. Groenlandsbanken AS | Kreditbanken vs. Skjern Bank AS | Kreditbanken vs. Djurslands Bank |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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