Correlation Between AF Gruppen and Selvaag Bolig
Can any of the company-specific risk be diversified away by investing in both AF Gruppen and Selvaag Bolig 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 AF Gruppen and Selvaag Bolig into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AF Gruppen ASA and Selvaag Bolig ASA, you can compare the effects of market volatilities on AF Gruppen and Selvaag Bolig 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 AF Gruppen with a short position of Selvaag Bolig. Check out your portfolio center. Please also check ongoing floating volatility patterns of AF Gruppen and Selvaag Bolig.
Diversification Opportunities for AF Gruppen and Selvaag Bolig
-0.06 | Correlation Coefficient |
Good diversification
The 3 months correlation between AFG and Selvaag is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding AF Gruppen ASA and Selvaag Bolig ASA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Selvaag Bolig ASA and AF Gruppen 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 AF Gruppen ASA are associated (or correlated) with Selvaag Bolig. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Selvaag Bolig ASA has no effect on the direction of AF Gruppen i.e., AF Gruppen and Selvaag Bolig go up and down completely randomly.
Pair Corralation between AF Gruppen and Selvaag Bolig
Assuming the 90 days trading horizon AF Gruppen is expected to generate 1.39 times less return on investment than Selvaag Bolig. But when comparing it to its historical volatility, AF Gruppen ASA is 1.69 times less risky than Selvaag Bolig. It trades about 0.25 of its potential returns per unit of risk. Selvaag Bolig ASA is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 3,285 in Selvaag Bolig ASA on September 25, 2024 and sell it today you would earn a total of 280.00 from holding Selvaag Bolig ASA or generate 8.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.45% |
Values | Daily Returns |
AF Gruppen ASA vs. Selvaag Bolig ASA
Performance |
Timeline |
AF Gruppen ASA |
Selvaag Bolig ASA |
AF Gruppen and Selvaag Bolig Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AF Gruppen and Selvaag Bolig
The main advantage of trading using opposite AF Gruppen and Selvaag Bolig positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AF Gruppen position performs unexpectedly, Selvaag Bolig 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 Selvaag Bolig will offset losses from the drop in Selvaag Bolig's long position.AF Gruppen vs. Veidekke ASA | AF Gruppen vs. Gjensidige Forsikring ASA | AF Gruppen vs. Orkla ASA | AF Gruppen vs. Kongsberg Gruppen ASA |
Selvaag Bolig vs. Entra ASA | Selvaag Bolig vs. Kmc Properties ASA | Selvaag Bolig vs. Baltic Sea Properties | Selvaag Bolig vs. RomReal Limited |
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 Transaction History module to view history of all your transactions and understand their impact on performance.
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