SSP Group (Germany) Market Value
| 83S2 Stock | 2.04 0.04 1.92% |
| Symbol | SSP |
SSP Group '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 SSP Group'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 SSP Group.
| 11/27/2024 |
| 12/27/2024 |
If you would invest 0.00 in SSP Group on November 27, 2024 and sell it all today you would earn a total of 0.00 from holding SSP Group PLC or generate 0.0% return on investment in SSP Group over 30 days.
SSP Group 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 SSP Group'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 SSP Group PLC upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.18 | |||
| Information Ratio | 0.0479 | |||
| Maximum Drawdown | 13.28 | |||
| Value At Risk | (4.15) | |||
| Potential Upside | 3.81 |
SSP Group Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SSP Group's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SSP Group's standard deviation. In reality, there are many statistical measures that can use SSP Group historical prices to predict the future SSP Group's volatility.| Risk Adjusted Performance | 0.0624 | |||
| Jensen Alpha | 0.1462 | |||
| Total Risk Alpha | 0.0275 | |||
| Sortino Ratio | 0.0524 | |||
| Treynor Ratio | 0.5938 |
SSP Group PLC Backtested Returns
Currently, SSP Group PLC is risky. SSP Group PLC owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0727, which indicates the firm had a 0.0727% return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for SSP Group PLC, which you can use to evaluate the volatility of the company. Please validate SSP Group's coefficient of variation of 1424.22, and Risk Adjusted Performance of 0.0624 to confirm if the risk estimate we provide is consistent with the expected return of 0.18%. SSP Group has a performance score of 5 on a scale of 0 to 100. The entity has a beta of 0.27, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SSP Group's returns are expected to increase less than the market. However, during the bear market, the loss of holding SSP Group is expected to be smaller as well. SSP Group PLC presently has a risk of 2.45%. Please validate SSP Group jensen alpha, sortino ratio, and the relationship between the standard deviation and total risk alpha , to decide if SSP Group will be following its existing price patterns.
Auto-correlation | -0.82 |
Excellent reverse predictability
SSP Group PLC has excellent reverse predictability. Overlapping area represents the amount of predictability between SSP Group time series from 27th of November 2024 to 12th of December 2024 and 12th of December 2024 to 27th 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 SSP Group PLC price movement. The serial correlation of -0.82 indicates that around 82.0% of current SSP Group price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.82 | |
| Spearman Rank Test | -0.95 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
SSP Group PLC lagged returns against current returns
Autocorrelation, which is SSP Group 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 SSP Group's stock expected returns. We can calculate the autocorrelation of SSP Group returns to help us make a trade decision. For example, suppose you find that SSP Group 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 |
SSP Group 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 SSP Group stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SSP Group stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SSP Group stock over time.
Current vs Lagged Prices |
| Timeline |
SSP Group Lagged Returns
When evaluating SSP Group's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SSP Group stock have on its future price. SSP Group 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, SSP Group autocorrelation shows the relationship between SSP Group stock current value and its past values and can show if there is a momentum factor associated with investing in SSP Group PLC.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for SSP Stock Analysis
When running SSP Group's price analysis, check to measure SSP Group's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy SSP Group is operating at the current time. Most of SSP Group's value examination focuses on studying past and present price action to predict the probability of SSP Group's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SSP Group's price. Additionally, you may evaluate how the addition of SSP Group to your portfolios can decrease your overall portfolio volatility.