SBF 120 (France) Market Value
| SBF120 Index | 6,159 40.39 0.66% |
| Symbol | SBF |
SBF 120 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to SBF 120's index what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of SBF 120.
| 04/09/2024 |
| 05/09/2024 |
If you would invest 0.00 in SBF 120 on April 9, 2024 and sell it all today you would earn a total of 0.00 from holding SBF 120 or generate 0.0% return on investment in SBF 120 over 30 days.
SBF 120 Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure SBF 120's index current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess SBF 120 upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5846 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 2.69 | |||
| Value At Risk | (0.93) | |||
| Potential Upside | 0.8988 |
SBF 120 Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SBF 120's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SBF 120's standard deviation. In reality, there are many statistical measures that can use SBF 120 historical prices to predict the future SBF 120's volatility.| Risk Adjusted Performance | 0.0867 | |||
| Total Risk Alpha | (0.001) | |||
| Sortino Ratio | (0.01) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SBF 120's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as SBF 120. Your research has to be compared to or analyzed against SBF 120's peers to derive any actionable benefits. When done correctly, SBF 120's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in SBF 120.
SBF 120 Backtested Returns
SBF 120 owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.18, which indicates the index had a 0.18% return per unit of volatility over the last 3 months. We have found twenty-five technical indicators for SBF 120, which you can use to evaluate the volatility of the entity. The entity has a beta of 0.0, which indicates not very significant fluctuations relative to the market. the returns on MARKET and SBF 120 are completely uncorrelated.
Auto-correlation | 0.60 |
Good predictability
SBF 120 has good predictability. Overlapping area represents the amount of predictability between SBF 120 time series from 9th of April 2024 to 24th of April 2024 and 24th of April 2024 to 9th of May 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of SBF 120 price movement. The serial correlation of 0.6 indicates that roughly 60.0% of current SBF 120 price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.6 | |
| Spearman Rank Test | -0.49 | |
| Residual Average | 0.0 | |
| Price Variance | 2293.95 |
SBF 120 lagged returns against current returns
Autocorrelation, which is SBF 120 index's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting SBF 120's index expected returns. We can calculate the autocorrelation of SBF 120 returns to help us make a trade decision. For example, suppose you find that SBF 120 has exhibited high autocorrelation historically, and you observe that the index is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
SBF 120 regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If SBF 120 index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SBF 120 index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SBF 120 index over time.
Current vs Lagged Prices |
| Timeline |
SBF 120 Lagged Returns
When evaluating SBF 120's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SBF 120 index have on its future price. SBF 120 autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, SBF 120 autocorrelation shows the relationship between SBF 120 index current value and its past values and can show if there is a momentum factor associated with investing in SBF 120.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards SBF 120 in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, SBF 120's short interest history, or implied volatility extrapolated from SBF 120 options trading.
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Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any index could be tightly coupled with the direction of predictive economic indicators such as signals in nation. Note that the SBF 120 information on this page should be used as a complementary analysis to other SBF 120's statistical models used 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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
SBF 120 technical index analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, index market cycles, or different charting patterns.