Societe De (France) Market Value
| EIFF Stock | EUR 4.04 0.03 0.74% |
| Symbol | Societe |
Societe De '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 Societe De'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 Societe De.
| 11/12/2024 |
| 12/12/2024 |
If you would invest 0.00 in Societe De on November 12, 2024 and sell it all today you would earn a total of 0.00 from holding Societe de la or generate 0.0% return on investment in Societe De over 30 days. Societe De is related to or competes with Mercialys, Icade SA, Gecina SA, Altarea SCA, and Klepierre. A listed real estate investment company on Euronext Paris, the company pursues a strategy focused on the ownership and t... More
Societe De 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 Societe De'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 Societe de la upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.37) | |||
| Maximum Drawdown | 19.41 | |||
| Value At Risk | (6.63) | |||
| Potential Upside | 2.37 |
Societe De Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Societe De's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Societe De's standard deviation. In reality, there are many statistical measures that can use Societe De historical prices to predict the future Societe De's volatility.| Risk Adjusted Performance | (0.23) | |||
| Jensen Alpha | (0.76) | |||
| Total Risk Alpha | (1.48) | |||
| Treynor Ratio | 0.4699 |
Societe de la Backtested Returns
Societe de la owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.36, which indicates the firm had a -0.36% return per unit of risk over the last 3 months. Societe de la exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Societe De's Variance of 9.27, risk adjusted performance of (0.23), and Coefficient Of Variation of (307.93) to confirm the risk estimate we provide. The entity has a beta of -2.13, which indicates a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Societe De are expected to decrease by larger amounts. On the other hand, during market turmoil, Societe De is expected to outperform it. At this point, Societe de la has a negative expected return of -1.09%. Please make sure to validate Societe De's standard deviation, jensen alpha, and the relationship between the coefficient of variation and information ratio , to decide if Societe de la performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.24 |
Weak predictability
Societe de la has weak predictability. Overlapping area represents the amount of predictability between Societe De time series from 12th of November 2024 to 27th of November 2024 and 27th of November 2024 to 12th of December 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 Societe de la price movement. The serial correlation of 0.24 indicates that over 24.0% of current Societe De price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.24 | |
| Spearman Rank Test | 0.49 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Societe de la lagged returns against current returns
Autocorrelation, which is Societe De 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 Societe De's stock expected returns. We can calculate the autocorrelation of Societe De returns to help us make a trade decision. For example, suppose you find that Societe De 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 |
Societe De 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 Societe De stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Societe De stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Societe De stock over time.
Current vs Lagged Prices |
| Timeline |
Societe De Lagged Returns
When evaluating Societe De's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Societe De stock have on its future price. Societe De 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, Societe De autocorrelation shows the relationship between Societe De stock current value and its past values and can show if there is a momentum factor associated with investing in Societe de la.
Regressed Prices |
| Timeline |
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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 Societe Stock
Societe De financial ratios help investors to determine whether Societe 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 Societe with respect to the benefits of owning Societe De security.