Correlation Between Danske Invest and Fast Ejendom
Can any of the company-specific risk be diversified away by investing in both Danske Invest and Fast Ejendom 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 Danske Invest and Fast Ejendom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Danske Invest and Fast Ejendom, you can compare the effects of market volatilities on Danske Invest and Fast Ejendom 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 Danske Invest with a short position of Fast Ejendom. Check out your portfolio center. Please also check ongoing floating volatility patterns of Danske Invest and Fast Ejendom.
Diversification Opportunities for Danske Invest and Fast Ejendom
-0.77 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Danske and Fast is -0.77. Overlapping area represents the amount of risk that can be diversified away by holding Danske Invest and Fast Ejendom in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fast Ejendom and Danske Invest 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 Danske Invest are associated (or correlated) with Fast Ejendom. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fast Ejendom has no effect on the direction of Danske Invest i.e., Danske Invest and Fast Ejendom go up and down completely randomly.
Pair Corralation between Danske Invest and Fast Ejendom
Assuming the 90 days trading horizon Danske Invest is expected to under-perform the Fast Ejendom. But the stock apears to be less risky and, when comparing its historical volatility, Danske Invest is 4.77 times less risky than Fast Ejendom. The stock trades about -0.1 of its potential returns per unit of risk. The Fast Ejendom is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 11,900 in Fast Ejendom on December 29, 2024 and sell it today you would earn a total of 1,600 from holding Fast Ejendom or generate 13.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Danske Invest vs. Fast Ejendom
Performance |
Timeline |
Danske Invest |
Fast Ejendom |
Danske Invest and Fast Ejendom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Danske Invest and Fast Ejendom
The main advantage of trading using opposite Danske Invest and Fast Ejendom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Danske Invest position performs unexpectedly, Fast Ejendom 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 Fast Ejendom will offset losses from the drop in Fast Ejendom's long position.Danske Invest vs. Laan Spar Bank | Danske Invest vs. Skjern Bank AS | Danske Invest vs. Carnegie Wealth Management | Danske Invest vs. BankIn Bredygt Klimaakt |
Fast Ejendom vs. Prime Office AS | Fast Ejendom vs. First Farms AS | Fast Ejendom vs. Jeudan | Fast Ejendom vs. Gabriel Holding |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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