Scientific Games (Germany) Market Value
| TJW Stock | EUR 92.50 1.00 1.07% |
| Symbol | Scientific |
Scientific Games '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 Scientific Games' 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 Scientific Games.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in Scientific Games on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding Scientific Games or generate 0.0% return on investment in Scientific Games over 90 days. Scientific Games is related to or competes with Tyson Foods, SLIGRO FOOD, Thai Beverage, CN MODERN, Ebro Foods, and Suntory Beverage. Scientific Games Corporation develops technology-based products and services, and related content for the gaming, lotter... More
Scientific Games 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 Scientific Games' 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 Scientific Games upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.27 | |||
| Information Ratio | 0.0456 | |||
| Maximum Drawdown | 12.74 | |||
| Value At Risk | (3.55) | |||
| Potential Upside | 3.35 |
Scientific Games Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Scientific Games' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Scientific Games' standard deviation. In reality, there are many statistical measures that can use Scientific Games historical prices to predict the future Scientific Games' volatility.| Risk Adjusted Performance | 0.0109 | |||
| Jensen Alpha | 0.0472 | |||
| Total Risk Alpha | 0.3091 | |||
| Sortino Ratio | 0.0491 | |||
| Treynor Ratio | 0.0063 |
Scientific Games Backtested Returns
At this point, Scientific Games is very steady. Scientific Games owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0606, which indicates the firm had a 0.0606 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Scientific Games, which you can use to evaluate the volatility of the company. Please validate Scientific Games' Risk Adjusted Performance of 0.0109, semi deviation of 1.94, and Coefficient Of Variation of 19439.15 to confirm if the risk estimate we provide is consistent with the expected return of 0.15%. Scientific Games has a performance score of 4 on a scale of 0 to 100. The entity has a beta of 0.41, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Scientific Games' returns are expected to increase less than the market. However, during the bear market, the loss of holding Scientific Games is expected to be smaller as well. Scientific Games right now has a risk of 2.45%. Please validate Scientific Games jensen alpha, maximum drawdown, semi variance, as well as the relationship between the sortino ratio and potential upside , to decide if Scientific Games will be following its existing price patterns.
Auto-correlation | 0.32 |
Below average predictability
Scientific Games has below average predictability. Overlapping area represents the amount of predictability between Scientific Games time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th 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 Scientific Games price movement. The serial correlation of 0.32 indicates that nearly 32.0% of current Scientific Games price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.32 | |
| Spearman Rank Test | 0.36 | |
| Residual Average | 0.0 | |
| Price Variance | 54.68 |
Scientific Games lagged returns against current returns
Autocorrelation, which is Scientific Games 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 Scientific Games' stock expected returns. We can calculate the autocorrelation of Scientific Games returns to help us make a trade decision. For example, suppose you find that Scientific Games 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 |
Scientific Games 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 Scientific Games stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Scientific Games stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Scientific Games stock over time.
Current vs Lagged Prices |
| Timeline |
Scientific Games Lagged Returns
When evaluating Scientific Games' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Scientific Games stock have on its future price. Scientific Games 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, Scientific Games autocorrelation shows the relationship between Scientific Games stock current value and its past values and can show if there is a momentum factor associated with investing in Scientific Games.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Scientific Stock
Scientific Games financial ratios help investors to determine whether Scientific 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 Scientific with respect to the benefits of owning Scientific Games security.