Correlation Between SF Sustainable and Bonhote Immobilier
Can any of the company-specific risk be diversified away by investing in both SF Sustainable and Bonhote Immobilier 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 Bonhote Immobilier 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 Bonhote Immobilier SICAV BIM, you can compare the effects of market volatilities on SF Sustainable and Bonhote Immobilier 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 Bonhote Immobilier. Check out your portfolio center. Please also check ongoing floating volatility patterns of SF Sustainable and Bonhote Immobilier.
Diversification Opportunities for SF Sustainable and Bonhote Immobilier
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between SFPF and Bonhote is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding SF Sustainable Property and Bonhote Immobilier SICAV BIM in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bonhote Immobilier 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 Bonhote Immobilier. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bonhote Immobilier has no effect on the direction of SF Sustainable i.e., SF Sustainable and Bonhote Immobilier go up and down completely randomly.
Pair Corralation between SF Sustainable and Bonhote Immobilier
Assuming the 90 days trading horizon SF Sustainable is expected to generate 4.54 times less return on investment than Bonhote Immobilier. But when comparing it to its historical volatility, SF Sustainable Property is 1.5 times less risky than Bonhote Immobilier. It trades about 0.09 of its potential returns per unit of risk. Bonhote Immobilier SICAV BIM is currently generating about 0.26 of returns per unit of risk over similar time horizon. If you would invest 15,150 in Bonhote Immobilier SICAV BIM on September 19, 2024 and sell it today you would earn a total of 1,150 from holding Bonhote Immobilier SICAV BIM or generate 7.59% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
SF Sustainable Property vs. Bonhote Immobilier SICAV BIM
Performance |
| Timeline |
| SF Sustainable Property |
| Bonhote Immobilier |
SF Sustainable and Bonhote Immobilier Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with SF Sustainable and Bonhote Immobilier
The main advantage of trading using opposite SF Sustainable and Bonhote Immobilier positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SF Sustainable position performs unexpectedly, Bonhote Immobilier 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 Bonhote Immobilier will offset losses from the drop in Bonhote Immobilier'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 |
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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
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