SES S (France) Market Value
| SESG Stock | EUR 3.40 0.03 0.87% |
| Symbol | SES |
SES S '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 SES S'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 SES S.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in SES S on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding SES S A or generate 0.0% return on investment in SES S over 30 days. SES S is related to or competes with Nexity, Lagardere SCA, Eutelsat Communications, and SCOR SE. SES S.A. provides satellite and ground communications solutions to connect and enable broadcast, telecom, corporate, and... More
SES S 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 SES S'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 SES S A upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.33) | |||
| Maximum Drawdown | 9.85 | |||
| Value At Risk | (2.59) | |||
| Potential Upside | 2.03 |
SES S Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SES S's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SES S's standard deviation. In reality, there are many statistical measures that can use SES S historical prices to predict the future SES S's volatility.| Risk Adjusted Performance | (0.19) | |||
| Jensen Alpha | (0.42) | |||
| Total Risk Alpha | (0.69) | |||
| Treynor Ratio | 30.48 |
SES S A Backtested Returns
SES S A owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.26, which indicates the firm had a -0.26% return per unit of standard deviation over the last 3 months. SES S A exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SES S's risk adjusted performance of (0.19), and Variance of 2.76 to confirm the risk estimate we provide. The entity has a beta of -0.014, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning SES S are expected to decrease at a much lower rate. During the bear market, SES S is likely to outperform the market. At this point, SES S A has a negative expected return of -0.44%. Please make sure to validate SES S's kurtosis, daily balance of power, and the relationship between the skewness and accumulation distribution , to decide if SES S A performance from the past will be repeated at future time.
Auto-correlation | -0.54 |
Good reverse predictability
SES S A has good reverse predictability. Overlapping area represents the amount of predictability between SES S time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th of November 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 SES S A price movement. The serial correlation of -0.54 indicates that about 54.0% of current SES S price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.54 | |
| Spearman Rank Test | -0.49 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
SES S A lagged returns against current returns
Autocorrelation, which is SES S 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 SES S's stock expected returns. We can calculate the autocorrelation of SES S returns to help us make a trade decision. For example, suppose you find that SES S 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 |
SES S 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 SES S stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SES S stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SES S stock over time.
Current vs Lagged Prices |
| Timeline |
SES S Lagged Returns
When evaluating SES S's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SES S stock have on its future price. SES S 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, SES S autocorrelation shows the relationship between SES S stock current value and its past values and can show if there is a momentum factor associated with investing in SES S A.
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 SES Stock
SES S financial ratios help investors to determine whether SES 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 SES with respect to the benefits of owning SES S security.