SBF 120 Correlations
| SBF120 Index | 6,079 31.08 0.51% |
The current 90-days correlation between SBF 120 and CMG Cleantech SA is 0.02 (i.e., Significant diversification). The correlation of SBF 120 is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
The ability to find closely correlated positions to SBF 120 could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SBF 120 when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back SBF 120 - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling SBF 120 to buy it.
Moving together with SBF Index
| 0.89 | MC | LVMH Mot Hennessy | PairCorr |
| 0.97 | RMS | Hermes International SCA | PairCorr |
| 0.94 | DG | Vinci SA | PairCorr |
| 0.89 | ATE | Alten SA | PairCorr |
| 0.62 | NRO | Neurones | PairCorr |
| 0.78 | SPEL | Foncire Volta | PairCorr |
| 0.93 | ALPDX | Piscines Desjoyaux | PairCorr |
| 0.82 | ALTBG | Blockchain Group | PairCorr |
| 0.92 | ENX | Euronext NV | PairCorr |
| 0.95 | DSY | Dassault Systemes | PairCorr |
| 0.73 | ALTA | Altarea SCA | PairCorr |
| 0.86 | HO | Thales SA Earnings Call This Week | PairCorr |
| 0.81 | ALESK | Esker SA | PairCorr |
| 0.98 | MTU | Manitou BF SA Earnings Call This Week | PairCorr |
| 0.96 | MMT | Mtropole Tlvision | PairCorr |
| 0.9 | CLARI | Clariane SE | PairCorr |
| 0.96 | CEU | Amundi Index Solutions | PairCorr |
| 0.97 | CEC | Multi Units Luxembourg | PairCorr |
| 0.99 | E40 | BNP Paribas Easy | PairCorr |
| 0.97 | MUSRI | BNP Paribas Easy | PairCorr |
| 0.98 | DAX | Multi Units Luxembourg | PairCorr |
| 0.79 | CRB | Lyxor Commodities | PairCorr |
| 0.64 | HSEM | HSBC Emerging Market | PairCorr |
| 0.88 | WLD | Lyxor UCITS MSCI | PairCorr |
| 0.95 | EVAE | BNP Paribas Easy | PairCorr |
| 0.97 | CV9 | Amundi Index Solutions | PairCorr |
| 0.99 | 50E | HSBC EURO STOXX | PairCorr |
| 0.68 | PUST | Lyxor PEA Nasdaq | PairCorr |
| 0.99 | CD5 | Amundi Index Solutions | PairCorr |
| 0.94 | CD9 | Amundi MSCI Europe | PairCorr |
Related Correlations Analysis
| 0.63 | -0.42 | -0.21 | 0.51 | 0.33 | MLCMG | ||
| 0.63 | -0.51 | -0.29 | 0.75 | 0.63 | SACI | ||
| -0.42 | -0.51 | -0.12 | -0.54 | -0.35 | GTT | ||
| -0.21 | -0.29 | -0.12 | -0.51 | -0.57 | JCQ | ||
| 0.51 | 0.75 | -0.54 | -0.51 | 0.78 | ETL | ||
| 0.33 | 0.63 | -0.35 | -0.57 | 0.78 | MLZAM | ||
| Click cells to compare fundamentals | Check Volatility | Backtest Portfolio |
Correlation Matchups
Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.High positive correlations
| High negative correlations
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Risk-Adjusted Indicators
There is a big difference between SBF Index performing well and SBF 120 Index doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze SBF 120's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.| Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
|---|---|---|---|---|---|---|---|---|---|---|
| MLCMG | 1.14 | (0.28) | 0.00 | (0.87) | 0.00 | 1.68 | 16.50 | |||
| SACI | 0.19 | (0.03) | 0.00 | (1.49) | 0.00 | 0.73 | 2.15 | |||
| GTT | 1.41 | 0.24 | 0.17 | (0.42) | 1.24 | 2.97 | 8.60 | |||
| JCQ | 1.13 | 0.21 | 0.12 | (0.52) | 1.58 | 2.32 | 8.96 | |||
| ETL | 2.75 | (1.49) | 0.00 | 2.72 | 0.00 | 4.19 | 23.85 | |||
| MLZAM | 2.32 | (0.12) | 0.00 | (0.62) | 0.00 | 5.69 | 21.57 |
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SBF 120 Distribution of Returns
Predicted Return Density |
| Returns |
What Drives a SBF 120 Price Volatility?
Several factors can influence a index's market volatility:Industry
Specific events can influence volatility within a particular industry. For instance, a significant weather upheaval in a crucial oil-production site may cause oil prices to increase in the oil sector. The direct result will be the rise in the stock price of oil distribution companies. Similarly, any government regulation in a specific industry could negatively influence stock prices due to increased regulations on compliance that may impact the company's future earnings and growth.Political and Economic environment
When governments make significant decisions regarding trade agreements, policies, and legislation regarding specific industries, they will influence stock prices. Everything from speeches to elections may influence investors, who can directly influence the stock prices in any particular industry. The prevailing economic situation also plays a significant role in stock prices. When the economy is doing well, investors will have a positive reaction and hence, better stock prices and vice versa.The Company's Performance
Sometimes volatility will only affect an individual company. For example, a revolutionary product launch or strong earnings report may attract many investors to purchase the company. This positive attention will raise the company's stock price. In contrast, product recalls and data breaches may negatively influence a company's stock prices.SBF 120 Against Global Markets
| PSI 20 | 1.47 | |||||
| ISEQ 20 | 0.62 | |||||
| NYA | 0.33 | |||||
| GDAXI | 0.07 | |||||
| CROBEX | 0.29 | |||||
| Budapest | 0.43 | |||||
| SBF 120 | 0.51 | |||||
| TWII | 1.19 | |||||
| IDX 30 | 2.89 |
