Correlation Between SBF 120 and Believe SAS
Specify exactly 2 symbols:
By analyzing existing cross correlation between SBF 120 and Believe SAS, you can compare the effects of market volatilities on SBF 120 and Believe SAS 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 SBF 120 with a short position of Believe SAS. Check out your portfolio center. Please also check ongoing floating volatility patterns of SBF 120 and Believe SAS.
Diversification Opportunities for SBF 120 and Believe SAS
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between SBF and Believe is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding SBF 120 and Believe SAS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Believe SAS and SBF 120 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 SBF 120 are associated (or correlated) with Believe SAS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Believe SAS has no effect on the direction of SBF 120 i.e., SBF 120 and Believe SAS go up and down completely randomly.
Pair Corralation between SBF 120 and Believe SAS
Assuming the 90 days trading horizon SBF 120 is expected to under-perform the Believe SAS. But the index apears to be less risky and, when comparing its historical volatility, SBF 120 is 2.47 times less risky than Believe SAS. The index trades about -0.01 of its potential returns per unit of risk. The Believe SAS is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 1,500 in Believe SAS on September 15, 2024 and sell it today you would lose (62.00) from holding Believe SAS or give up 4.13% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SBF 120 vs. Believe SAS
Performance |
Timeline |
SBF 120 and Believe SAS Volatility Contrast
Predicted Return Density |
Returns |
SBF 120
Pair trading matchups for SBF 120
Believe SAS
Pair trading matchups for Believe SAS
Pair Trading with SBF 120 and Believe SAS
The main advantage of trading using opposite SBF 120 and Believe SAS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SBF 120 position performs unexpectedly, Believe SAS 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 Believe SAS will offset losses from the drop in Believe SAS's long position.SBF 120 vs. Hotelim Socit Anonyme | SBF 120 vs. Eutelsat Communications SA | SBF 120 vs. Groupe Pizzorno Environnement | SBF 120 vs. ISPD Network SA |
Believe SAS vs. OVH Groupe SAS | Believe SAS vs. Aramis SAS | Believe SAS vs. Neoen SA | Believe SAS vs. Technip Energies BV |
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 Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
Other Complementary Tools
Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets |