Performance Food Stock Forward View - Simple Regression
| P5F Stock | EUR 81.00 1.00 1.25% |
Performance Stock outlook is based on your current time horizon. We suggest always using this module together with an analysis of Performance Food's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 28th of February 2026, The value of RSI of Performance Food's share price is at 54 indicating that the stock is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Performance Food, making its price go up or down. Momentum 54
Impartial
Oversold | Overbought |
Quarterly Earnings Growth 0.444 | Wall Street Target Price 62.8 | Quarterly Revenue Growth 0.052 |
Using Performance Food hype-based prediction, you can estimate the value of Performance Food Group from the perspective of Performance Food response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Performance Food Group on the next trading day is expected to be 80.01 with a mean absolute deviation of 1.91 and the sum of the absolute errors of 118.56. Performance Food after-hype prediction price | EUR 81.05 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Performance |
Performance Food Additional Predictive Modules
Most predictive techniques to examine Performance price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Performance using various technical indicators. When you analyze Performance charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Performance Food Simple Regression Price Forecast For the 1st of March
Given 90 days horizon, the Simple Regression forecasted value of Performance Food Group on the next trading day is expected to be 80.01 with a mean absolute deviation of 1.91, mean absolute percentage error of 6.06, and the sum of the absolute errors of 118.56.Please note that although there have been many attempts to predict Performance Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Performance Food's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Performance Food Stock Forecast Pattern
| Backtest Performance Food | Performance Food Price Prediction | Research Analysis |
Performance Food Forecasted Value
In the context of forecasting Performance Food's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Performance Food's downside and upside margins for the forecasting period are 77.47 and 82.55, respectively. We have considered Performance Food's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Performance Food stock data series using in forecasting. Note that when a statistical model is used to represent Performance Food stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 121.7497 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.9123 |
| MAPE | Mean absolute percentage error | 0.0245 |
| SAE | Sum of the absolute errors | 118.563 |
Predictive Modules for Performance Food
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Performance Food. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Performance Food After-Hype Price Density Analysis
As far as predicting the price of Performance Food at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Performance Food or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Performance Food, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Performance Food Estimiated After-Hype Price Volatility
In the context of predicting Performance Food's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Performance Food's historical news coverage. Performance Food's after-hype downside and upside margins for the prediction period are 78.51 and 83.59, respectively. We have considered Performance Food's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Performance Food is very steady at this time. Analysis and calculation of next after-hype price of Performance Food is based on 3 months time horizon.
Performance Food Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Performance Food is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Performance Food backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Performance Food, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.03 | 2.54 | 0.05 | 0.01 | 15 Events / Month | 2 Events / Month | In about 15 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
81.00 | 81.05 | 0.06 |
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Performance Food Hype Timeline
Performance Food is at this time traded for 81.00on Frankfurt Exchange of Germany. The entity has historical hype elasticity of 0.05, and average elasticity to hype of competition of -0.01. Performance is estimated to increase in value after the next headline, with the price projected to jump to 81.05 or above. The average volatility of media hype impact on the company the price is about 169.33%. The price rise on the next news is forecasted to be 0.06%, whereas the daily expected return is at this time at 0.03%. The volatility of related hype on Performance Food is about 585.59%, with the expected price after the next announcement by competition of 80.99. The company reported the revenue of 63.3 B. Net Income was 340.2 M with profit before overhead, payroll, taxes, and interest of 7.81 B. Assuming the 90 days horizon the next estimated press release will be in about 15 days. Check out Historical Fundamental Analysis of Performance Food to cross-verify your projections.Performance Food Related Hype Analysis
Having access to credible news sources related to Performance Food's direct competition is more important than ever and may enhance your ability to predict Performance Food's future price movements. Getting to know how Performance Food's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Performance Food may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| 8KH | TOREX SEMICONDUCTOR LTD | 0.30 | 2 per month | 1.95 | 0.06 | 5.68 | (3.23) | 12.96 | |
| PUP | Public Storage | (3.50) | 11 per month | 1.27 | 0.05 | 3.52 | (2.34) | 6.91 | |
| B2X | Brandywine Realty Trust | 0.01 | 5 per month | 0.00 | (0.05) | 4.24 | (3.68) | 12.26 | |
| ZZG | INFORMATION SVC GRP | (0.26) | 7 per month | 0.00 | (0.08) | 4.33 | (5.20) | 12.57 | |
| 4GC | National Storage Affiliates | 0.75 | 7 per month | 1.11 | 0.11 | 2.98 | (1.89) | 9.07 | |
| BJI | Datang International Power | 0.01 | 5 per month | 1.58 | (0) | 4.17 | (4.00) | 8.35 | |
| LTT | Lattice Semiconductor | (0.78) | 8 per month | 2.59 | 0.13 | 5.22 | (4.29) | 29.56 | |
| HYI | Hyrican Informationssysteme Aktiengesellschaft | 0.00 | 2 per month | 0.00 | (0.09) | 0.00 | 0.00 | 6.38 |
Other Forecasting Options for Performance Food
For every potential investor in Performance, whether a beginner or expert, Performance Food's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Performance Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Performance. Basic forecasting techniques help filter out the noise by identifying Performance Food's price trends.Performance Food Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Performance Food stock to make a market-neutral strategy. Peer analysis of Performance Food could also be used in its relative valuation, which is a method of valuing Performance Food by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Performance Food Market Strength Events
Market strength indicators help investors to evaluate how Performance Food stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Performance Food shares will generate the highest return on investment. By undertsting and applying Performance Food stock market strength indicators, traders can identify Performance Food Group entry and exit signals to maximize returns.
Performance Food Risk Indicators
The analysis of Performance Food's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Performance Food's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting performance stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 1.71 | |||
| Standard Deviation | 2.49 | |||
| Variance | 6.2 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Performance Food
The number of cover stories for Performance Food depends on current market conditions and Performance Food's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Performance Food is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Performance Food's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Check out Historical Fundamental Analysis of Performance Food to cross-verify your projections. You can also try the Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..