Performance Food Group Stock Market Value
| PFGC Stock | USD 74.00 0.07 0.09% |
| Symbol | Performance |
Performance Food Price To Book Ratio
Is Performance Food's 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 Performance Food. If investors know Performance 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 Performance Food 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 (0.12) | Earnings Share 2.68 | Revenue Per Share 350.055 | Quarterly Revenue Growth 0.006 | Return On Assets 0.0402 |
The market value of Performance Food is measured differently than its book value, which is the value of Performance that is recorded on the company's balance sheet. Investors also form their own opinion of Performance Food's value that differs from its market value or its book value, called intrinsic value, which is Performance Food'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 Performance Food's market value can be influenced by many factors that don't directly affect Performance Food'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 Performance Food's value and its price as these two are different measures arrived at by different means. Investors typically determine if Performance Food is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Performance Food'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.
Performance Food '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 Performance Food'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 Performance Food.
| 02/18/2024 |
| 05/18/2024 |
If you would invest 0.00 in Performance Food on February 18, 2024 and sell it all today you would earn a total of 0.00 from holding Performance Food Group or generate 0.0% return on investment in Performance Food over 90 days. Performance Food is related to or competes with Big Lots, Thrivent High, Morningstar Unconstrained, Via Renewables, T Rowe, and 70082LAB3. Performance Food Group Company, through its subsidiaries, markets and distributes food and food-related products in the ... More
Performance Food 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 Performance Food'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 Performance Food Group upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.46 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 7.25 | |||
| Value At Risk | (1.75) | |||
| Potential Upside | 1.9 |
Performance Food Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Performance Food's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Performance Food's standard deviation. In reality, there are many statistical measures that can use Performance Food historical prices to predict the future Performance Food's volatility.| Risk Adjusted Performance | 0.025 | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.16) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.0311 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Performance Food'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.
Performance Food Backtested Returns
Performance Food maintains Sharpe Ratio (i.e., Efficiency) of -0.0077, which implies the firm had a -0.0077% return per unit of risk over the last 3 months. Performance Food exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Performance Food's Coefficient Of Variation of 2956.63, risk adjusted performance of 0.025, and Semi Deviation of 1.35 to confirm the risk estimate we provide. The company holds a Beta of 1.01, which implies a somewhat significant risk relative to the market. Performance Food returns are very sensitive to returns on the market. As the market goes up or down, Performance Food is expected to follow. Performance Food has an expected return of -0.0094%. Please make sure to check Performance Food skewness, day typical price, and the relationship between the downside variance and daily balance of power , to decide if Performance Food performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.44 |
Modest reverse predictability
Performance Food Group has modest reverse predictability. Overlapping area represents the amount of predictability between Performance Food time series from 18th of February 2024 to 3rd of April 2024 and 3rd of April 2024 to 18th 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 Performance Food price movement. The serial correlation of -0.44 indicates that just about 44.0% of current Performance Food price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.44 | |
| Spearman Rank Test | -0.02 | |
| Residual Average | 0.0 | |
| Price Variance | 1.66 |
Performance Food lagged returns against current returns
Autocorrelation, which is Performance Food 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 Performance Food's stock expected returns. We can calculate the autocorrelation of Performance Food returns to help us make a trade decision. For example, suppose you find that Performance Food 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 |
Performance Food 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 Performance Food stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Performance Food stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Performance Food stock over time.
Current vs Lagged Prices |
| Timeline |
Performance Food Lagged Returns
When evaluating Performance Food's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Performance Food stock have on its future price. Performance Food 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, Performance Food autocorrelation shows the relationship between Performance Food stock current value and its past values and can show if there is a momentum factor associated with investing in Performance Food Group.
Regressed Prices |
| Timeline |
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Check out Performance Food Correlation, Performance Food Volatility and Performance Food Alpha and Beta module to complement your research on Performance Food. Note that the Performance Food information on this page should be used as a complementary analysis to other Performance Food's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
Complementary Tools for Performance Stock analysis
When running Performance Food's price analysis, check to measure Performance Food'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 Performance Food is operating at the current time. Most of Performance Food's value examination focuses on studying past and present price action to predict the probability of Performance Food's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Performance Food's price. Additionally, you may evaluate how the addition of Performance Food to your portfolios can decrease your overall portfolio volatility.
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Performance Food 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.