Correlation Between SF Sustainable and GOOD BUILDINGS
Can any of the company-specific risk be diversified away by investing in both SF Sustainable and GOOD BUILDINGS 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 SF Sustainable and GOOD BUILDINGS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SF Sustainable Property and GOOD BUILDINGS Swiss, you can compare the effects of market volatilities on SF Sustainable and GOOD BUILDINGS 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 SF Sustainable with a short position of GOOD BUILDINGS. Check out your portfolio center. Please also check ongoing floating volatility patterns of SF Sustainable and GOOD BUILDINGS.
Diversification Opportunities for SF Sustainable and GOOD BUILDINGS
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between SFPF and GOOD is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding SF Sustainable Property and GOOD BUILDINGS Swiss in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GOOD BUILDINGS Swiss and SF Sustainable 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 SF Sustainable Property are associated (or correlated) with GOOD BUILDINGS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GOOD BUILDINGS Swiss has no effect on the direction of SF Sustainable i.e., SF Sustainable and GOOD BUILDINGS go up and down completely randomly.
Pair Corralation between SF Sustainable and GOOD BUILDINGS
Assuming the 90 days trading horizon SF Sustainable is expected to generate 1.46 times less return on investment than GOOD BUILDINGS. In addition to that, SF Sustainable is 1.73 times more volatile than GOOD BUILDINGS Swiss. It trades about 0.02 of its total potential returns per unit of risk. GOOD BUILDINGS Swiss is currently generating about 0.06 per unit of volatility. If you would invest 12,982 in GOOD BUILDINGS Swiss on September 28, 2024 and sell it today you would earn a total of 2,518 from holding GOOD BUILDINGS Swiss or generate 19.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.99% |
Values | Daily Returns |
SF Sustainable Property vs. GOOD BUILDINGS Swiss
Performance |
Timeline |
SF Sustainable Property |
GOOD BUILDINGS Swiss |
SF Sustainable and GOOD BUILDINGS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SF Sustainable and GOOD BUILDINGS
The main advantage of trading using opposite SF Sustainable and GOOD BUILDINGS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SF Sustainable position performs unexpectedly, GOOD BUILDINGS 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 GOOD BUILDINGS will offset losses from the drop in GOOD BUILDINGS's long position.SF Sustainable vs. Procimmo Real Estate | SF Sustainable vs. Baloise Holding AG | SF Sustainable vs. Banque Cantonale du | SF Sustainable vs. Invesco EQQQ NASDAQ 100 |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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