Correlation Between HusCompagniet and Danske Invest
Can any of the company-specific risk be diversified away by investing in both HusCompagniet and Danske Invest 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 HusCompagniet and Danske Invest into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between HusCompagniet AS and Danske Invest , you can compare the effects of market volatilities on HusCompagniet and Danske Invest 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 HusCompagniet with a short position of Danske Invest. Check out your portfolio center. Please also check ongoing floating volatility patterns of HusCompagniet and Danske Invest.
Diversification Opportunities for HusCompagniet and Danske Invest
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between HusCompagniet and Danske is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding HusCompagniet AS and Danske Invest in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Danske Invest and HusCompagniet 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 HusCompagniet AS are associated (or correlated) with Danske Invest. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Danske Invest has no effect on the direction of HusCompagniet i.e., HusCompagniet and Danske Invest go up and down completely randomly.
Pair Corralation between HusCompagniet and Danske Invest
Assuming the 90 days trading horizon HusCompagniet AS is expected to under-perform the Danske Invest. In addition to that, HusCompagniet is 3.96 times more volatile than Danske Invest . It trades about -0.08 of its total potential returns per unit of risk. Danske Invest is currently generating about -0.11 per unit of volatility. If you would invest 9,456 in Danske Invest on December 2, 2024 and sell it today you would lose (258.00) from holding Danske Invest or give up 2.73% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
HusCompagniet AS vs. Danske Invest
Performance |
Timeline |
HusCompagniet AS |
Danske Invest |
HusCompagniet and Danske Invest Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with HusCompagniet and Danske Invest
The main advantage of trading using opposite HusCompagniet and Danske Invest positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if HusCompagniet position performs unexpectedly, Danske Invest 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 Danske Invest will offset losses from the drop in Danske Invest's long position.HusCompagniet vs. Matas AS | HusCompagniet vs. Netcompany Group AS | HusCompagniet vs. FLSmidth Co | HusCompagniet vs. GN Store Nord |
Danske Invest vs. Nordinvestments AS | Danske Invest vs. Jyske Bank AS | Danske Invest vs. NTG Nordic Transport | Danske Invest vs. Scandinavian Tobacco Group |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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