Scientific's market value is the price at which a share of Scientific trades on an exchange. It measures the collective expectations of Scientific Games International investors about the bond's future performance. With this module, you can estimate the performance of a buy and hold strategy of Scientific Games International and determine expected loss or profit from investing in Scientific over a given investment horizon. Check out Scientific Correlation, Scientific Volatility and Scientific Alpha and Beta module to complement your research on Scientific.
Please note, there is a significant difference between Scientific's value and its price as these two are different measures arrived at by different means. Investors typically determine if Scientific is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Scientific's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Scientific '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's bond 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.
0.00
01/13/2023
No Change 0.00
0.0
In 1 year 11 months and 22 days
01/02/2025
0.00
If you would invest 0.00 in Scientific on January 13, 2023 and sell it all today you would earn a total of 0.00 from holding Scientific Games International or generate 0.0% return on investment in Scientific over 720 days. Scientific is related to or competes with Logan Ridge, Western Digital, SEI Investments, Amkor Technology, Stepstone, Fidus Investment, and NETGEAR. More
Scientific 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's bond 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 International upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for Scientific's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Scientific's standard deviation. In reality, there are many statistical measures that can use Scientific historical prices to predict the future Scientific's volatility.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Scientific. Your research has to be compared to or analyzed against Scientific's peers to derive any actionable benefits. When done correctly, Scientific's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Scientific Games Int.
Scientific Games Int Backtested Returns
Scientific Games Int owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.15, which indicates the bond had a -0.15% return per unit of risk over the last 3 months. Scientific Games International exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Scientific's Variance of 0.336, risk adjusted performance of (0.14), and Coefficient Of Variation of (603.70) to confirm the risk estimate we provide. The entity has a beta of 0.13, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Scientific's returns are expected to increase less than the market. However, during the bear market, the loss of holding Scientific is expected to be smaller as well.
Auto-correlation
-0.13
Insignificant reverse predictability
Scientific Games International has insignificant reverse predictability. Overlapping area represents the amount of predictability between Scientific time series from 13th of January 2023 to 8th of January 2024 and 8th of January 2024 to 2nd of January 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 Int price movement. The serial correlation of -0.13 indicates that less than 13.0% of current Scientific price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.13
Spearman Rank Test
-0.12
Residual Average
0.0
Price Variance
0.71
Scientific Games Int lagged returns against current returns
Autocorrelation, which is Scientific bond'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's bond expected returns. We can calculate the autocorrelation of Scientific returns to help us make a trade decision. For example, suppose you find that Scientific has exhibited high autocorrelation historically, and you observe that the bond 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 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 bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Scientific bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Scientific bond over time.
Current vs Lagged Prices
Timeline
Scientific Lagged Returns
When evaluating Scientific's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Scientific bond have on its future price. Scientific 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 autocorrelation shows the relationship between Scientific bond current value and its past values and can show if there is a momentum factor associated with investing in Scientific Games International.
Regressed Prices
Timeline
Also Currently Popular
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.
Scientific financial ratios help investors to determine whether Scientific Bond 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 security.