SCI AG (Germany) Market Value
| SCI Stock | EUR 18.50 0.10 0.54% |
| Symbol | SCI |
SCI AG '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 SCI AG'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 SCI AG.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in SCI AG on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding SCI AG or generate 0.0% return on investment in SCI AG over 30 days. SCI AG is related to or competes with TELES Informationstech, TERADATA, Datadog, Grupo Carso, Geely Automobile, G8 EDUCATION, and CHINA EDUCATION. SCI AG focuses on special situations in the German stock market, such as acquisitions or squeeze-outs More
SCI AG 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 SCI AG'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 SCI AG upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.46 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 16.46 | |||
| Value At Risk | (5.73) | |||
| Potential Upside | 7.56 |
SCI AG Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SCI AG's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SCI AG's standard deviation. In reality, there are many statistical measures that can use SCI AG historical prices to predict the future SCI AG's volatility.| Risk Adjusted Performance | 0.0231 | |||
| Jensen Alpha | 0.0481 | |||
| Total Risk Alpha | (0.46) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 1.4 |
SCI AG Backtested Returns
As of now, SCI Stock is not too volatile. SCI AG owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0235, which indicates the company had a 0.0235% return per unit of volatility over the last 3 months. We have found twenty-eight technical indicators for SCI AG, which you can use to evaluate the volatility of the entity. Please validate SCI AG's Downside Deviation of 4.46, risk adjusted performance of 0.0231, and Market Risk Adjusted Performance of 1.41 to confirm if the risk estimate we provide is consistent with the expected return of 0.0734%. SCI AG has a performance score of 1 on a scale of 0 to 100. The firm has a beta of 0.0377, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SCI AG's returns are expected to increase less than the market. However, during the bear market, the loss of holding SCI AG is expected to be smaller as well. SCI AG now has a risk of 3.13%. Please validate SCI AG maximum drawdown, semi variance, and the relationship between the sortino ratio and potential upside , to decide if SCI AG will be following its existing price patterns.
Auto-correlation | -0.13 |
Insignificant reverse predictability
SCI AG has insignificant reverse predictability. Overlapping area represents the amount of predictability between SCI AG time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th 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 SCI AG price movement. The serial correlation of -0.13 indicates that less than 13.0% of current SCI AG price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.13 | |
| Spearman Rank Test | -0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 0.15 |
SCI AG lagged returns against current returns
Autocorrelation, which is SCI AG 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 SCI AG's stock expected returns. We can calculate the autocorrelation of SCI AG returns to help us make a trade decision. For example, suppose you find that SCI AG 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 |
SCI AG 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 SCI AG stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SCI AG stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SCI AG stock over time.
Current vs Lagged Prices |
| Timeline |
SCI AG Lagged Returns
When evaluating SCI AG's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SCI AG stock have on its future price. SCI AG 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, SCI AG autocorrelation shows the relationship between SCI AG stock current value and its past values and can show if there is a momentum factor associated with investing in SCI AG.
Regressed Prices |
| Timeline |
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Try AI Portfolio ArchitectOther Information on Investing in SCI Stock
SCI AG financial ratios help investors to determine whether SCI 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 SCI with respect to the benefits of owning SCI AG security.