Correlation Between SF Sustainable and Baloise Swiss
Can any of the company-specific risk be diversified away by investing in both SF Sustainable and Baloise Swiss 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 Baloise Swiss 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 Baloise Swiss Property, you can compare the effects of market volatilities on SF Sustainable and Baloise Swiss 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 Baloise Swiss. Check out your portfolio center. Please also check ongoing floating volatility patterns of SF Sustainable and Baloise Swiss.
Diversification Opportunities for SF Sustainable and Baloise Swiss
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between SFPF and Baloise is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding SF Sustainable Property and Baloise Swiss Property in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Baloise Swiss Property 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 Baloise Swiss. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Baloise Swiss Property has no effect on the direction of SF Sustainable i.e., SF Sustainable and Baloise Swiss go up and down completely randomly.
Pair Corralation between SF Sustainable and Baloise Swiss
Assuming the 90 days trading horizon SF Sustainable Property is expected to generate 1.31 times more return on investment than Baloise Swiss. However, SF Sustainable is 1.31 times more volatile than Baloise Swiss Property. It trades about 0.02 of its potential returns per unit of risk. Baloise Swiss Property is currently generating about 0.02 per unit of risk. If you would invest 11,827 in SF Sustainable Property on September 27, 2024 and sell it today you would earn a total of 1,123 from holding SF Sustainable Property or generate 9.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 99.79% |
Values | Daily Returns |
SF Sustainable Property vs. Baloise Swiss Property
Performance |
Timeline |
SF Sustainable Property |
Baloise Swiss Property |
SF Sustainable and Baloise Swiss Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SF Sustainable and Baloise Swiss
The main advantage of trading using opposite SF Sustainable and Baloise Swiss positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SF Sustainable position performs unexpectedly, Baloise Swiss 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 Baloise Swiss will offset losses from the drop in Baloise Swiss' 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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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