Believe SAS (France) Market Value
| BLV Stock | 15.02 0.06 0.40% |
| Symbol | Believe |
Believe SAS '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 Believe SAS's stock 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 Believe SAS.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in Believe SAS on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Believe SAS or generate 0.0% return on investment in Believe SAS over 90 days. Believe SAS is related to or competes with Neoen SA, Technip Energies, and Voltalia. More
Believe SAS 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 Believe SAS's stock 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 Believe SAS upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.42 | |||
| Information Ratio | 0.1261 | |||
| Maximum Drawdown | 7.2 | |||
| Value At Risk | (2.13) | |||
| Potential Upside | 2.01 |
Believe SAS Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Believe SAS's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Believe SAS's standard deviation. In reality, there are many statistical measures that can use Believe SAS historical prices to predict the future Believe SAS's volatility.| Risk Adjusted Performance | 0.0543 | |||
| Jensen Alpha | 0.0692 | |||
| Total Risk Alpha | 0.2555 | |||
| Sortino Ratio | 0.1292 | |||
| Treynor Ratio | (1.72) |
Believe SAS Backtested Returns
At this point, Believe SAS is very steady. Believe SAS secures Sharpe Ratio (or Efficiency) of 0.0578, which signifies that the company had a 0.0578 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Believe SAS, which you can use to evaluate the volatility of the firm. Please confirm Believe SAS's Risk Adjusted Performance of 0.0543, downside deviation of 1.42, and Mean Deviation of 1.11 to double-check if the risk estimate we provide is consistent with the expected return of 0.0839%. Believe SAS has a performance score of 4 on a scale of 0 to 100. The firm shows a Beta (market volatility) of -0.0429, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Believe SAS are expected to decrease at a much lower rate. During the bear market, Believe SAS is likely to outperform the market. Believe SAS right now shows a risk of 1.45%. Please confirm Believe SAS jensen alpha, potential upside, accumulation distribution, as well as the relationship between the treynor ratio and expected short fall , to decide if Believe SAS will be following its price patterns.
Auto-correlation | -0.36 |
Poor reverse predictability
Believe SAS has poor reverse predictability. Overlapping area represents the amount of predictability between Believe SAS time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Believe SAS price movement. The serial correlation of -0.36 indicates that just about 36.0% of current Believe SAS price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.36 | |
| Spearman Rank Test | 0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 0.1 |
Believe SAS lagged returns against current returns
Autocorrelation, which is Believe SAS stock'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 Believe SAS's stock expected returns. We can calculate the autocorrelation of Believe SAS returns to help us make a trade decision. For example, suppose you find that Believe SAS has exhibited high autocorrelation historically, and you observe that the stock 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 |
Believe SAS 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 Believe SAS stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Believe SAS stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Believe SAS stock over time.
Current vs Lagged Prices |
| Timeline |
Believe SAS Lagged Returns
When evaluating Believe SAS's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Believe SAS stock have on its future price. Believe SAS 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, Believe SAS autocorrelation shows the relationship between Believe SAS stock current value and its past values and can show if there is a momentum factor associated with investing in Believe SAS.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Believe Stock
Believe SAS financial ratios help investors to determine whether Believe Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Believe with respect to the benefits of owning Believe SAS security.