Correlation Between Fast Ejendom and Prime Office
Can any of the company-specific risk be diversified away by investing in both Fast Ejendom and Prime Office 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 Fast Ejendom and Prime Office into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fast Ejendom and Prime Office AS, you can compare the effects of market volatilities on Fast Ejendom and Prime Office 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 Fast Ejendom with a short position of Prime Office. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fast Ejendom and Prime Office.
Diversification Opportunities for Fast Ejendom and Prime Office
0.12 | Correlation Coefficient |
Average diversification
The 3 months correlation between Fast and Prime is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding Fast Ejendom and Prime Office AS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Prime Office AS and Fast Ejendom 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 Fast Ejendom are associated (or correlated) with Prime Office. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Prime Office AS has no effect on the direction of Fast Ejendom i.e., Fast Ejendom and Prime Office go up and down completely randomly.
Pair Corralation between Fast Ejendom and Prime Office
Assuming the 90 days trading horizon Fast Ejendom is expected to under-perform the Prime Office. But the stock apears to be less risky and, when comparing its historical volatility, Fast Ejendom is 1.25 times less risky than Prime Office. The stock trades about -0.05 of its potential returns per unit of risk. The Prime Office AS is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 17,200 in Prime Office AS on October 26, 2024 and sell it today you would earn a total of 200.00 from holding Prime Office AS or generate 1.16% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Fast Ejendom vs. Prime Office AS
Performance |
| Timeline |
| Fast Ejendom |
| Prime Office AS |
Fast Ejendom and Prime Office Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Fast Ejendom and Prime Office
The main advantage of trading using opposite Fast Ejendom and Prime Office positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fast Ejendom position performs unexpectedly, Prime Office 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 Prime Office will offset losses from the drop in Prime Office's long position.| Fast Ejendom vs. Prime Office AS | Fast Ejendom vs. First Farms AS | Fast Ejendom vs. Jeudan | Fast Ejendom vs. Gabriel Holding |
| Prime Office vs. Djurslands Bank | Prime Office vs. North Media AS | Prime Office vs. First Farms AS | Prime Office vs. Flgger group 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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