Simply Good Foods Stock Market Value
SMPL Stock | USD 39.01 0.10 0.26% |
Symbol | Simply |
Simply Good Foods Price To Book Ratio
Is Packaged Foods & Meats space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Simply Good. If investors know Simply will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Simply Good listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.19) | Earnings Share 1.38 | Revenue Per Share 13.323 | Quarterly Revenue Growth 0.172 | Return On Assets 0.0631 |
The market value of Simply Good Foods is measured differently than its book value, which is the value of Simply that is recorded on the company's balance sheet. Investors also form their own opinion of Simply Good's value that differs from its market value or its book value, called intrinsic value, which is Simply Good's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Simply Good's market value can be influenced by many factors that don't directly affect Simply Good's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Simply Good's value and its price as these two are different measures arrived at by different means. Investors typically determine if Simply Good is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Simply Good'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.
Simply Good '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 Simply Good'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 Simply Good.
12/03/2022 |
| 11/22/2024 |
If you would invest 0.00 in Simply Good on December 3, 2022 and sell it all today you would earn a total of 0.00 from holding Simply Good Foods or generate 0.0% return on investment in Simply Good over 720 days. Simply Good is related to or competes with Post Holdings, Treehouse Foods, J J, Central Garden, Hain Celestial, Lancaster Colony, and Bellring Brands. The Simply Good Foods Company operates as a consumer-packaged food and beverage company in North America and internation... More
Simply Good 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 Simply Good'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 Simply Good Foods upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.49 | |||
Information Ratio | 0.1086 | |||
Maximum Drawdown | 5.79 | |||
Value At Risk | (2.39) | |||
Potential Upside | 2.91 |
Simply Good Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Simply Good's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Simply Good's standard deviation. In reality, there are many statistical measures that can use Simply Good historical prices to predict the future Simply Good's volatility.Risk Adjusted Performance | 0.1429 | |||
Jensen Alpha | 0.2004 | |||
Total Risk Alpha | 0.0664 | |||
Sortino Ratio | 0.1106 | |||
Treynor Ratio | 0.4127 |
Simply Good Foods Backtested Returns
Simply Good appears to be very steady, given 3 months investment horizon. Simply Good Foods owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.23, which indicates the firm had a 0.23% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Simply Good Foods, which you can use to evaluate the volatility of the company. Please review Simply Good's Coefficient Of Variation of 553.01, semi deviation of 1.21, and Risk Adjusted Performance of 0.1429 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Simply Good holds a performance score of 17. The entity has a beta of 0.64, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Simply Good's returns are expected to increase less than the market. However, during the bear market, the loss of holding Simply Good is expected to be smaller as well. Please check Simply Good's maximum drawdown, as well as the relationship between the expected short fall and rate of daily change , to make a quick decision on whether Simply Good's existing price patterns will revert.
Auto-correlation | 0.25 |
Poor predictability
Simply Good Foods has poor predictability. Overlapping area represents the amount of predictability between Simply Good time series from 3rd of December 2022 to 28th of November 2023 and 28th of November 2023 to 22nd 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 Simply Good Foods price movement. The serial correlation of 0.25 indicates that over 25.0% of current Simply Good price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.25 | |
Spearman Rank Test | -0.05 | |
Residual Average | 0.0 | |
Price Variance | 7.06 |
Simply Good Foods lagged returns against current returns
Autocorrelation, which is Simply Good 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 Simply Good's stock expected returns. We can calculate the autocorrelation of Simply Good returns to help us make a trade decision. For example, suppose you find that Simply Good 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 |
Simply Good 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 Simply Good stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Simply Good stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Simply Good stock over time.
Current vs Lagged Prices |
Timeline |
Simply Good Lagged Returns
When evaluating Simply Good's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Simply Good stock have on its future price. Simply Good 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, Simply Good autocorrelation shows the relationship between Simply Good stock current value and its past values and can show if there is a momentum factor associated with investing in Simply Good Foods.
Regressed Prices |
Timeline |
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Simply Good technical stock 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, stock market cycles, or different charting patterns.