Herman Miller Stock Forecast - Simple Moving Average
| MHR Stock | EUR 16.80 0.80 5.00% |
The Simple Moving Average forecasted value of Herman Miller on the next trading day is expected to be 16.80 with a mean absolute deviation of 0.31 and the sum of the absolute errors of 18.77. Herman Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Herman Miller's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 23rd of January 2026 the value of rsi of Herman Miller's share price is below 20 . This indicates that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using Herman Miller hype-based prediction, you can estimate the value of Herman Miller from the perspective of Herman Miller response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Moving Average forecasted value of Herman Miller on the next trading day is expected to be 16.80 with a mean absolute deviation of 0.31 and the sum of the absolute errors of 18.77. Herman Miller after-hype prediction price | EUR 16.8 |
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.
Herman |
Herman Miller Additional Predictive Modules
Most predictive techniques to examine Herman price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Herman using various technical indicators. When you analyze Herman 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 | ||
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| Volatility Indicators | ||
| Volume Indicators |
Herman Miller Simple Moving Average Price Forecast For the 24th of January
Given 90 days horizon, the Simple Moving Average forecasted value of Herman Miller on the next trading day is expected to be 16.80 with a mean absolute deviation of 0.31, mean absolute percentage error of 0.18, and the sum of the absolute errors of 18.77.Please note that although there have been many attempts to predict Herman 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 Herman Miller's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Herman Miller Stock Forecast Pattern
| Backtest Herman Miller | Herman Miller Price Prediction | Buy or Sell Advice |
Herman Miller Forecasted Value
In the context of forecasting Herman Miller'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. Herman Miller's downside and upside margins for the forecasting period are 14.10 and 19.50, respectively. We have considered Herman Miller'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 Moving Average forecasting method's relative quality and the estimations of the prediction error of Herman Miller stock data series using in forecasting. Note that when a statistical model is used to represent Herman Miller 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 | 114.5653 |
| Bias | Arithmetic mean of the errors | -0.0569 |
| MAD | Mean absolute deviation | 0.3129 |
| MAPE | Mean absolute percentage error | 0.0224 |
| SAE | Sum of the absolute errors | 18.775 |
Predictive Modules for Herman Miller
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Herman Miller. 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.Herman Miller After-Hype Price Prediction Density Analysis
As far as predicting the price of Herman Miller 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 Herman Miller 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 Herman Miller, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Herman Miller Estimiated After-Hype Price Volatility
In the context of predicting Herman Miller's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Herman Miller's historical news coverage. Herman Miller's after-hype downside and upside margins for the prediction period are 14.10 and 19.50, respectively. We have considered Herman Miller'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
Herman Miller is somewhat reliable at this time. Analysis and calculation of next after-hype price of Herman Miller is based on 3 months time horizon.
Herman Miller Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Herman Miller is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Herman Miller 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 Herman Miller, 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 |
0.26 | 2.70 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Uncertain |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
16.80 | 16.80 | 0.00 |
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Herman Miller Hype Timeline
Herman Miller is now traded for 16.80on Frankfurt Exchange of Germany. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Herman is estimated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is estimated to be very small, whereas the daily expected return is now at 0.26%. %. The volatility of related hype on Herman Miller is about 0.0%, with the expected price after the next announcement by competition of 16.80. About 98.0% of the company shares are owned by institutional investors. The company has price-to-book ratio of 1.03. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Herman Miller last dividend was issued on the 2nd of March 2023. Assuming the 90 days horizon the next estimated press release will be uncertain. Check out Historical Fundamental Analysis of Herman Miller to cross-verify your projections.Herman Miller Related Hype Analysis
Having access to credible news sources related to Herman Miller's direct competition is more important than ever and may enhance your ability to predict Herman Miller's future price movements. Getting to know how Herman Miller'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 Herman Miller may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| 3DS | DaChan Food Limited | 0.00 | 0 per month | 0.00 | (0.05) | 6.45 | (5.71) | 16.35 | |
| TF7A | TYSON FOODS A | 0.00 | 0 per month | 0.95 | 0.03 | 2.05 | (2.16) | 8.32 | |
| 0NH | Nomad Foods | 0.00 | 0 per month | 0.00 | (0.05) | 5.88 | (4.46) | 14.73 | |
| 07M | CN MODERN DAIRY | 0.00 | 0 per month | 2.21 | 0.07 | 7.69 | (7.14) | 19.22 | |
| XSFA | SENECA FOODS A | 0.00 | 0 per month | 0.00 | (0.07) | 3.03 | (5.88) | 13.36 | |
| 8SF | Sligro Food Group | 0.00 | 0 per month | 0.00 | (0.14) | 2.59 | (1.98) | 6.26 | |
| AZU | Ebro Foods SA | 0.00 | 0 per month | 0.67 | (0.09) | 1.56 | (1.22) | 3.15 |
Other Forecasting Options for Herman Miller
For every potential investor in Herman, whether a beginner or expert, Herman Miller's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Herman Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Herman. Basic forecasting techniques help filter out the noise by identifying Herman Miller's price trends.Herman Miller 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 Herman Miller stock to make a market-neutral strategy. Peer analysis of Herman Miller could also be used in its relative valuation, which is a method of valuing Herman Miller by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Herman Miller Market Strength Events
Market strength indicators help investors to evaluate how Herman Miller stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Herman Miller shares will generate the highest return on investment. By undertsting and applying Herman Miller stock market strength indicators, traders can identify Herman Miller entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.05 | |||
| Day Median Price | 16.8 | |||
| Day Typical Price | 16.8 | |||
| Price Action Indicator | 0.4 | |||
| Period Momentum Indicator | 0.8 |
Herman Miller Risk Indicators
The analysis of Herman Miller'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 Herman Miller's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting herman 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 | 1.66 | |||
| Semi Deviation | 2.15 | |||
| Standard Deviation | 2.51 | |||
| Variance | 6.28 | |||
| Downside Variance | 8.29 | |||
| Semi Variance | 4.63 | |||
| Expected Short fall | (2.01) |
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 Herman Miller
The number of cover stories for Herman Miller depends on current market conditions and Herman Miller's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Herman Miller 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 Herman Miller'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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Other Information on Investing in Herman Stock
Herman Miller financial ratios help investors to determine whether Herman Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Herman with respect to the benefits of owning Herman Miller security.