Flowers Foods Stock Market Value
FLO Stock | USD 25.03 0.34 1.38% |
Symbol | Flowers |
Flowers Foods Price To Book Ratio
Is Flowers Foods' industry 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 Flowers Foods. If investors know Flowers 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 Flowers Foods 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 0.2 | Dividend Share 0.91 | Earnings Share 0.58 | Revenue Per Share 24.055 | Quarterly Revenue Growth 0.088 |
The market value of Flowers Foods is measured differently than its book value, which is the value of Flowers that is recorded on the company's balance sheet. Investors also form their own opinion of Flowers Foods' value that differs from its market value or its book value, called intrinsic value, which is Flowers Foods' 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 Flowers Foods' market value can be influenced by many factors that don't directly affect Flowers Foods' 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 Flowers Foods' value and its price as these two are different measures arrived at by different means. Investors typically determine if Flowers Foods is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Flowers Foods' 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.
Flowers Foods '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 Flowers Foods' 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 Flowers Foods.
03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Flowers Foods on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Flowers Foods or generate 0.0% return on investment in Flowers Foods over 30 days. Flowers Foods is related to or competes with ConAgra Foods, McCormick Company, Campbell Soup, Kellanova, General Mills, Hormel Foods, and Lamb Weston. Flowers Foods, Inc. produces and markets packaged bakery products in the United States More
Flowers Foods 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 Flowers Foods' 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 Flowers Foods upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.5 | |||
Information Ratio | 0.0604 | |||
Maximum Drawdown | 8.51 | |||
Value At Risk | (1.62) | |||
Potential Upside | 2.23 |
Flowers Foods Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Flowers Foods' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Flowers Foods' standard deviation. In reality, there are many statistical measures that can use Flowers Foods historical prices to predict the future Flowers Foods' volatility.Risk Adjusted Performance | 0.0887 | |||
Jensen Alpha | 0.1079 | |||
Total Risk Alpha | (0.01) | |||
Sortino Ratio | 0.0523 | |||
Treynor Ratio | 0.2504 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Flowers Foods' 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.
Flowers Foods Backtested Returns
We consider Flowers Foods very steady. Flowers Foods secures Sharpe Ratio (or Efficiency) of 0.13, which denotes the company had a 0.13% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Flowers Foods, which you can use to evaluate the volatility of the firm. Please confirm Flowers Foods' Mean Deviation of 0.9254, coefficient of variation of 746.74, and Downside Deviation of 1.5 to check if the risk estimate we provide is consistent with the expected return of 0.17%. Flowers Foods has a performance score of 10 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.65, which means possible diversification benefits within a given portfolio. As returns on the market increase, Flowers Foods' returns are expected to increase less than the market. However, during the bear market, the loss of holding Flowers Foods is expected to be smaller as well. Flowers Foods right now shows a risk of 1.3%. Please confirm Flowers Foods semi variance, and the relationship between the treynor ratio and daily balance of power , to decide if Flowers Foods will be following its price patterns.
Auto-correlation | -0.74 |
Almost perfect reverse predictability
Flowers Foods has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Flowers Foods time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th of April 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 Flowers Foods price movement. The serial correlation of -0.74 indicates that around 74.0% of current Flowers Foods price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.74 | |
Spearman Rank Test | -0.25 | |
Residual Average | 0.0 | |
Price Variance | 0.59 |
Flowers Foods lagged returns against current returns
Autocorrelation, which is Flowers Foods 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 Flowers Foods' stock expected returns. We can calculate the autocorrelation of Flowers Foods returns to help us make a trade decision. For example, suppose you find that Flowers Foods 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 |
Flowers Foods 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 Flowers Foods stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Flowers Foods stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Flowers Foods stock over time.
Current vs Lagged Prices |
Timeline |
Flowers Foods Lagged Returns
When evaluating Flowers Foods' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Flowers Foods stock have on its future price. Flowers Foods 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, Flowers Foods autocorrelation shows the relationship between Flowers Foods stock current value and its past values and can show if there is a momentum factor associated with investing in Flowers Foods.
Regressed Prices |
Timeline |
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Try AI Portfolio ArchitectCheck out Flowers Foods Correlation, Flowers Foods Volatility and Flowers Foods Alpha and Beta module to complement your research on Flowers Foods. To learn how to invest in Flowers Stock, please use our How to Invest in Flowers Foods guide.You can also try the Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.
Complementary Tools for Flowers Stock analysis
When running Flowers Foods' price analysis, check to measure Flowers Foods' 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 Flowers Foods is operating at the current time. Most of Flowers Foods' value examination focuses on studying past and present price action to predict the probability of Flowers Foods' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Flowers Foods' price. Additionally, you may evaluate how the addition of Flowers Foods to your portfolios can decrease your overall portfolio volatility.
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Flowers Foods 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.