School Specialty Stock Market Value
| SCOO Stock | USD 0.0001 0.00 0.00% |
| Symbol | School |
School Specialty '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 School Specialty's pink sheet 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 School Specialty.
| 02/22/2024 |
| 05/22/2024 |
If you would invest 0.00 in School Specialty on February 22, 2024 and sell it all today you would earn a total of 0.00 from holding School Specialty or generate 0.0% return on investment in School Specialty over 90 days. School Specialty is related to or competes with Wendys, Yum Brands, Dominos Pizza, Darden Restaurants, Papa Johns, Starbucks, and Chipotle Mexican. School Specialty, Inc., together with its subsidiaries, provides supplies, furniture, technology products, and curriculu... More
School Specialty 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 School Specialty's pink sheet 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 School Specialty upside and downside potential and time the market with a certain degree of confidence.
School Specialty Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for School Specialty's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as School Specialty's standard deviation. In reality, there are many statistical measures that can use School Specialty historical prices to predict the future School Specialty's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of School Specialty's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
School Specialty Backtested Returns
We have found three technical indicators for School Specialty, which you can use to evaluate the volatility of the company. The entity has a beta of 0.0, which indicates not very significant fluctuations relative to the market. the returns on MARKET and School Specialty are completely uncorrelated.
Auto-correlation | 1.00 |
Perfect predictability
School Specialty has perfect predictability. Overlapping area represents the amount of predictability between School Specialty time series from 22nd of February 2024 to 7th of April 2024 and 7th of April 2024 to 22nd of May 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 School Specialty price movement. The serial correlation of 1.0 indicates that 100.0% of current School Specialty price fluctuation can be explain by its past prices.
| Correlation Coefficient | 1.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
School Specialty lagged returns against current returns
Autocorrelation, which is School Specialty pink sheet'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 School Specialty's pink sheet expected returns. We can calculate the autocorrelation of School Specialty returns to help us make a trade decision. For example, suppose you find that School Specialty has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
School Specialty 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 School Specialty pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if School Specialty pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in School Specialty pink sheet over time.
Current vs Lagged Prices |
| Timeline |
School Specialty Lagged Returns
When evaluating School Specialty's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of School Specialty pink sheet have on its future price. School Specialty 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, School Specialty autocorrelation shows the relationship between School Specialty pink sheet current value and its past values and can show if there is a momentum factor associated with investing in School Specialty.
Regressed Prices |
| Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out School Specialty Correlation, School Specialty Volatility and School Specialty Alpha and Beta module to complement your research on School Specialty. You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
Complementary Tools for School Pink Sheet analysis
When running School Specialty's price analysis, check to measure School Specialty'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 School Specialty is operating at the current time. Most of School Specialty's value examination focuses on studying past and present price action to predict the probability of School Specialty's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move School Specialty's price. Additionally, you may evaluate how the addition of School Specialty to your portfolios can decrease your overall portfolio volatility.
| Equity Valuation Check real value of public entities based on technical and fundamental data | |
| Crypto Correlations Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins | |
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
| Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios | |
| Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
| Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings |
School Specialty technical pink sheet analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, pink sheet market cycles, or different charting patterns.