Flowers Foods Stock Market Value
| FLO Stock | USD 22.43 0.21 0.95% |
| Symbol | Flowers |
Flowers 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 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 0.94 | Earnings Share 1.14 | Revenue Per Share 24.259 | 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.
| 10/23/2024 |
| 11/22/2024 |
If you would invest 0.00 in Flowers Foods on October 23, 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 Bellring Brands, Treehouse Foods, Ingredion Incorporated, JM Smucker, Seneca Foods, Nomad Foods, and Simply Good. 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.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 4.62 | |||
| Value At Risk | (2.05) | |||
| Potential Upside | 1.5 |
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 | (0.02) | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.18) | |||
| Treynor Ratio | (0.18) |
Flowers Foods Backtested Returns
Flowers Foods secures Sharpe Ratio (or Efficiency) of -0.0204, which denotes the company had a -0.0204% return per unit of risk over the last 3 months. Flowers Foods exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Flowers Foods' Variance of 1.09, mean deviation of 0.8251, and Standard Deviation of 1.05 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.25, which means not very significant fluctuations relative to the market. 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. At this point, Flowers Foods has a negative expected return of -0.0215%. Please make sure to confirm Flowers Foods' information ratio, potential upside, as well as the relationship between the Potential Upside and rate of daily change , to decide if Flowers Foods performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.07 |
Virtually no predictability
Flowers Foods has virtually no predictability. Overlapping area represents the amount of predictability between Flowers Foods time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 2024 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 Flowers Foods price movement. The serial correlation of 0.07 indicates that barely 7.0% of current Flowers Foods price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.07 | |
| Spearman Rank Test | 0.06 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
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 |
Pair Trading with Flowers Foods
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Flowers Foods position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Flowers Foods will appreciate offsetting losses from the drop in the long position's value.Moving together with Flowers Stock
Moving against Flowers Stock
| 0.77 | PPC | Pilgrims Pride Corp | PairCorr |
| 0.74 | TPB | Turning Point Brands | PairCorr |
| 0.72 | BJ | BJs Wholesale Club | PairCorr |
| 0.56 | INGR | Ingredion Incorporated | PairCorr |
| 0.52 | SENEA | Seneca Foods Corp | PairCorr |
The ability to find closely correlated positions to Flowers Foods could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Flowers Foods when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Flowers Foods - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Flowers Foods to buy it.
The correlation of Flowers Foods is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Flowers Foods moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Flowers Foods moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Flowers Foods can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check 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 Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
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.