Scientific Games (Germany) Market Value
| TJW Stock | EUR 89.00 1.00 1.14% |
| 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.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Scientific Games on October 27, 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 30 days. Scientific Games is related to or competes with Apple, Apple, Apple, Apple, Apple, Microsoft, and Microsoft. 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.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 15.34 | |||
| Value At Risk | (2.48) | |||
| Potential Upside | 2.62 |
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 | (0.02) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.51) | |||
| Treynor Ratio | (0.27) |
Scientific Games Backtested Returns
Scientific Games owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0294, which indicates the firm had a -0.0294% return per unit of risk over the last 3 months. Scientific Games exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Scientific Games' Coefficient Of Variation of (3,149), risk adjusted performance of (0.02), and Variance of 7.27 to confirm the risk estimate we provide. The entity has a beta of 0.35, 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. At this point, Scientific Games has a negative expected return of -0.0803%. Please make sure to validate Scientific Games' skewness, day median price, and the relationship between the treynor ratio and daily balance of power , to decide if Scientific Games performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.03 |
Very weak reverse predictability
Scientific Games has very weak reverse predictability. Overlapping area represents the amount of predictability between Scientific Games time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th 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 Scientific Games price movement. The serial correlation of -0.03 indicates that only 3.0% of current Scientific Games price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.03 | |
| Spearman Rank Test | -0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 10.64 |
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.