McGraw Hill Stock Forecast - Naive Prediction
| MH Stock | 15.09 0.52 3.57% |
The Naive Prediction forecasted value of McGraw Hill on the next trading day is expected to be 13.37 with a mean absolute deviation of 0.58 and the sum of the absolute errors of 35.08. McGraw Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of McGraw Hill's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 22nd of January 2026, the value of RSI of McGraw Hill's share price is approaching 49. This indicates that the stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling McGraw Hill, making its price go up or down. Momentum 49
Impartial
Oversold | Overbought |
Using McGraw Hill hype-based prediction, you can estimate the value of McGraw Hill from the perspective of McGraw Hill response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of McGraw Hill on the next trading day is expected to be 13.37 with a mean absolute deviation of 0.58 and the sum of the absolute errors of 35.08. McGraw Hill after-hype prediction price | USD 15.09 |
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.
Check out Historical Fundamental Analysis of McGraw Hill to cross-verify your projections. McGraw Hill Additional Predictive Modules
Most predictive techniques to examine McGraw price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for McGraw using various technical indicators. When you analyze McGraw 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 |
McGraw Hill Naive Prediction Price Forecast For the 23rd of January
Given 90 days horizon, the Naive Prediction forecasted value of McGraw Hill on the next trading day is expected to be 13.37 with a mean absolute deviation of 0.58, mean absolute percentage error of 0.47, and the sum of the absolute errors of 35.08.Please note that although there have been many attempts to predict McGraw Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that McGraw Hill's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
McGraw Hill Stock Forecast Pattern
| Backtest McGraw Hill | McGraw Hill Price Prediction | Buy or Sell Advice |
McGraw Hill Forecasted Value
In the context of forecasting McGraw Hill'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. McGraw Hill's downside and upside margins for the forecasting period are 8.94 and 17.79, respectively. We have considered McGraw Hill'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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of McGraw Hill stock data series using in forecasting. Note that when a statistical model is used to represent McGraw Hill 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 | 117.3593 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.5751 |
| MAPE | Mean absolute percentage error | 0.0387 |
| SAE | Sum of the absolute errors | 35.0805 |
Predictive Modules for McGraw Hill
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as McGraw Hill. 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.McGraw Hill After-Hype Price Prediction Density Analysis
As far as predicting the price of McGraw Hill 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 McGraw Hill 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 McGraw Hill, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
McGraw Hill Estimiated After-Hype Price Volatility
In the context of predicting McGraw Hill's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on McGraw Hill's historical news coverage. McGraw Hill's after-hype downside and upside margins for the prediction period are 10.66 and 19.52, respectively. We have considered McGraw Hill'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 outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
McGraw Hill is somewhat reliable at this time. Analysis and calculation of next after-hype price of McGraw Hill is based on 3 months time horizon.
McGraw Hill Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as McGraw Hill is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading McGraw Hill 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 McGraw Hill, 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 |
0.37 | 4.43 | 0.53 | 0.02 | 6 Events / Month | 7 Events / Month | In about 6 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
15.09 | 15.09 | 0.00 |
|
McGraw Hill Hype Timeline
As of January 22, 2026 McGraw Hill is listed for 15.09. The entity has historical hype elasticity of 0.53, and average elasticity to hype of competition of -0.02. McGraw is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is now at 0.37%. %. The volatility of related hype on McGraw Hill is about 7771.93%, with the expected price after the next announcement by competition of 15.07. About 92.0% of the company shares are owned by institutional investors. The company recorded a loss per share of 0.4. McGraw Hill had not issued any dividends in recent years. Allowing for the 90-day total investment horizon the next forecasted press release will be in about 6 days. Check out Historical Fundamental Analysis of McGraw Hill to cross-verify your projections.McGraw Hill Related Hype Analysis
Having access to credible news sources related to McGraw Hill's direct competition is more important than ever and may enhance your ability to predict McGraw Hill's future price movements. Getting to know how McGraw Hill'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 McGraw Hill may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| PRDO | Perdoceo Education Corp | 0.12 | 7 per month | 0.00 | (0.08) | 2.71 | (3.17) | 12.03 | |
| STRA | Strategic Education | (0.04) | 10 per month | 2.21 | 0.02 | 2.39 | (4.08) | 12.29 | |
| COUR | Coursera | 0.02 | 8 per month | 0.00 | (0.24) | 2.68 | (6.89) | 18.76 | |
| UNFI | United Natural Foods | (0.24) | 11 per month | 0.00 | (0.14) | 3.47 | (7.32) | 13.48 | |
| UTI | Universal Technical Institute | (0.42) | 11 per month | 0.00 | (0.03) | 4.86 | (4.31) | 25.31 | |
| SMPL | Simply Good Foods | 1.42 | 17 per month | 1.83 | (0.02) | 2.90 | (2.61) | 10.07 | |
| AFYA | Afya | (0.09) | 10 per month | 0.00 | (0.1) | 2.27 | (2.99) | 6.95 | |
| SAM | Boston Beer | 0.48 | 12 per month | 1.98 | (0.05) | 3.11 | (3.36) | 10.23 | |
| PXED | Phoenix Education Partners | (1.72) | 10 per month | 0.00 | (0.05) | 6.25 | (6.71) | 19.87 | |
| GOTU | Gaotu Techedu DRC | (0.10) | 2 per month | 0.00 | (0.18) | 5.17 | (4.62) | 14.34 |
Other Forecasting Options for McGraw Hill
For every potential investor in McGraw, whether a beginner or expert, McGraw Hill's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. McGraw Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in McGraw. Basic forecasting techniques help filter out the noise by identifying McGraw Hill's price trends.McGraw Hill 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 McGraw Hill stock to make a market-neutral strategy. Peer analysis of McGraw Hill could also be used in its relative valuation, which is a method of valuing McGraw Hill by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
McGraw Hill Market Strength Events
Market strength indicators help investors to evaluate how McGraw Hill stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading McGraw Hill shares will generate the highest return on investment. By undertsting and applying McGraw Hill stock market strength indicators, traders can identify McGraw Hill entry and exit signals to maximize returns.
McGraw Hill Risk Indicators
The analysis of McGraw Hill'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 McGraw Hill's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting mcgraw 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 | 2.76 | |||
| Semi Deviation | 2.99 | |||
| Standard Deviation | 4.43 | |||
| Variance | 19.58 | |||
| Downside Variance | 10.85 | |||
| Semi Variance | 8.92 | |||
| Expected Short fall | (3.47) |
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 McGraw Hill
The number of cover stories for McGraw Hill depends on current market conditions and McGraw Hill's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that McGraw Hill 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 McGraw Hill's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Contributor Headline
Latest Perspective From Macroaxis
McGraw Hill Short Properties
McGraw Hill's future price predictability will typically decrease when McGraw Hill's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of McGraw Hill often depends not only on the future outlook of the potential McGraw Hill's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. McGraw Hill's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 191 M | |
| Cash And Short Term Investments | 389.8 M |
Check out Historical Fundamental Analysis of McGraw Hill to cross-verify your projections. For more detail on how to invest in McGraw Stock please use our How to Invest in McGraw Hill guide.You can also try the Global Correlations module to find global opportunities by holding instruments from different markets.
Is Stock 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 McGraw Hill. If investors know McGraw 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 McGraw Hill listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of McGraw Hill is measured differently than its book value, which is the value of McGraw that is recorded on the company's balance sheet. Investors also form their own opinion of McGraw Hill's value that differs from its market value or its book value, called intrinsic value, which is McGraw Hill'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 McGraw Hill's market value can be influenced by many factors that don't directly affect McGraw Hill'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 McGraw Hill's value and its price as these two are different measures arrived at by different means. Investors typically determine if McGraw Hill is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, McGraw Hill'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.