Correlation Between SF Sustainable and CS Real
Can any of the company-specific risk be diversified away by investing in both SF Sustainable and CS Real 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 CS Real 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 CS Real Estate, you can compare the effects of market volatilities on SF Sustainable and CS Real 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 CS Real. Check out your portfolio center. Please also check ongoing floating volatility patterns of SF Sustainable and CS Real.
Diversification Opportunities for SF Sustainable and CS Real
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between SFPF and SIAT is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding SF Sustainable Property and CS Real Estate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CS Real Estate 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 CS Real. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CS Real Estate has no effect on the direction of SF Sustainable i.e., SF Sustainable and CS Real go up and down completely randomly.
Pair Corralation between SF Sustainable and CS Real
Assuming the 90 days trading horizon SF Sustainable is expected to generate 2.03 times less return on investment than CS Real. In addition to that, SF Sustainable is 1.24 times more volatile than CS Real Estate. It trades about 0.02 of its total potential returns per unit of risk. CS Real Estate is currently generating about 0.05 per unit of volatility. If you would invest 19,963 in CS Real Estate on September 19, 2024 and sell it today you would earn a total of 4,737 from holding CS Real Estate or generate 23.73% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
SF Sustainable Property vs. CS Real Estate
Performance |
| Timeline |
| SF Sustainable Property |
| CS Real Estate |
SF Sustainable and CS Real Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with SF Sustainable and CS Real
The main advantage of trading using opposite SF Sustainable and CS Real positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SF Sustainable position performs unexpectedly, CS Real 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 CS Real will offset losses from the drop in CS Real's long position.| SF Sustainable vs. SPDR Dow Jones | SF Sustainable vs. Baloise Holding AG | SF Sustainable vs. SPDR FTSE UK | SF Sustainable vs. Banque Cantonale du |
| CS Real vs. SPDR Dow Jones | CS Real vs. Baloise Holding AG | CS Real vs. SPDR FTSE UK | CS Real vs. Banque Cantonale du |
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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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