Hanover Insurance Stock Forward View - Simple Regression
| AF4 Stock | EUR 142.00 3.00 2.07% |
Hanover Stock outlook is based on your current time horizon. We suggest always using this module together with an analysis of Hanover Insurance's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 11th of February 2026 the relative strength indicator of Hanover Insurance's share price is below 20 . This suggests 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 |
Quarterly Earnings Growth 0.194 | Wall Street Target Price 152.33 | Quarterly Revenue Growth 0.055 |
Using Hanover Insurance hype-based prediction, you can estimate the value of The Hanover Insurance from the perspective of Hanover Insurance response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of The Hanover Insurance on the next trading day is expected to be 143.00 with a mean absolute deviation of 2.78 and the sum of the absolute errors of 172.07. Hanover Insurance after-hype prediction price | EUR 142.0 |
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.
Hanover |
Hanover Insurance Additional Predictive Modules
Most predictive techniques to examine Hanover price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Hanover using various technical indicators. When you analyze Hanover 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 |
Hanover Insurance Simple Regression Price Forecast For the 12th of February 2026
Given 90 days horizon, the Simple Regression forecasted value of The Hanover Insurance on the next trading day is expected to be 143.00 with a mean absolute deviation of 2.78, mean absolute percentage error of 10.03, and the sum of the absolute errors of 172.07.Please note that although there have been many attempts to predict Hanover 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 Hanover Insurance's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Hanover Insurance Stock Forecast Pattern
| Backtest Hanover Insurance | Hanover Insurance Price Prediction | Research Analysis |
Hanover Insurance Forecasted Value
In the context of forecasting Hanover Insurance'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. Hanover Insurance's downside and upside margins for the forecasting period are 141.55 and 144.45, respectively. We have considered Hanover Insurance'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 Hanover Insurance stock data series using in forecasting. Note that when a statistical model is used to represent Hanover Insurance 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 | 122.2535 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 2.7753 |
| MAPE | Mean absolute percentage error | 0.0184 |
| SAE | Sum of the absolute errors | 172.0698 |
Predictive Modules for Hanover Insurance
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Hanover Insurance. 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.Hanover Insurance After-Hype Price Density Analysis
As far as predicting the price of Hanover Insurance 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 Hanover Insurance 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 Hanover Insurance, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Hanover Insurance Estimiated After-Hype Price Volatility
In the context of predicting Hanover Insurance's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Hanover Insurance's historical news coverage. Hanover Insurance's after-hype downside and upside margins for the prediction period are 140.55 and 143.45, respectively. We have considered Hanover Insurance'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
Hanover Insurance is very steady at this time. Analysis and calculation of next after-hype price of Hanover Insurance is based on 3 months time horizon.
Hanover Insurance Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Hanover Insurance is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Hanover Insurance 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 Hanover Insurance, 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 |
0.13 | 1.45 | 0.00 | 0.05 | 10 Events / Month | 2 Events / Month | In about 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
142.00 | 142.00 | 0.00 |
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Hanover Insurance Hype Timeline
Hanover Insurance is presently traded for 142.00on Frankfurt Exchange of Germany. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -0.05. Hanover 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 presently at -0.13%. %. The volatility of related hype on Hanover Insurance is about 381.58%, with the expected price after the next announcement by competition of 141.95. About 91.0% of the company shares are held by institutions such as insurance companies. The company has price-to-book (P/B) ratio of 1.69. Some equities with similar Price to Book (P/B) outperform the market in the long run. Hanover Insurance recorded earning per share (EPS) of 15.31. The entity last dividend was issued on the 12th of December 2025. Assuming the 90 days horizon the next estimated press release will be in about 10 days. Check out Historical Fundamental Analysis of Hanover Insurance to cross-verify your projections.Hanover Insurance Related Hype Analysis
Having access to credible news sources related to Hanover Insurance's direct competition is more important than ever and may enhance your ability to predict Hanover Insurance's future price movements. Getting to know how Hanover Insurance'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 Hanover Insurance may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| 94P | AUREA SA INH | 0.00 | 0 per month | 0.00 | (0.04) | 3.44 | (3.93) | 11.80 | |
| DVDG | Franklin Global Quality | 0.00 | 0 per month | 0.36 | 0.08 | 1.00 | (0.65) | 3.06 | |
| BTC1 | Bitwise Core Bitcoin | (0.22) | 8 per month | 0.00 | (0.24) | 3.90 | (5.63) | 14.40 | |
| RS6 | Reliance Steel Aluminum | (3.10) | 7 per month | 0.84 | 0.14 | 3.18 | (1.57) | 5.55 | |
| 9K1 | NORDIC HALIBUT AS | (0.01) | 4 per month | 1.65 | 0.02 | 3.05 | (2.79) | 12.62 | |
| 9TO | Toyota Tsusho Corp | (0.80) | 3 per month | 1.89 | 0.16 | 5.26 | (2.82) | 13.02 | |
| SVKB | SANDVIK | 0.95 | 3 per month | 0.90 | 0.30 | 3.05 | (1.96) | 6.58 | |
| FUC | Fanuc | (0.50) | 6 per month | 2.16 | 0.08 | 5.00 | (3.82) | 20.33 | |
| 8SP | SUPERIOR PLUS | (0.02) | 8 per month | 0.00 | (0.06) | 2.84 | (1.39) | 23.94 | |
| KKI | Kintetsu Group Holdings | (0.1) | 3 per month | 1.64 | 0.05 | 2.67 | (1.96) | 11.85 |
Other Forecasting Options for Hanover Insurance
For every potential investor in Hanover, whether a beginner or expert, Hanover Insurance's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Hanover Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Hanover. Basic forecasting techniques help filter out the noise by identifying Hanover Insurance's price trends.Hanover Insurance 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 Hanover Insurance stock to make a market-neutral strategy. Peer analysis of Hanover Insurance could also be used in its relative valuation, which is a method of valuing Hanover Insurance by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Hanover Insurance Market Strength Events
Market strength indicators help investors to evaluate how Hanover Insurance stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Hanover Insurance shares will generate the highest return on investment. By undertsting and applying Hanover Insurance stock market strength indicators, traders can identify The Hanover Insurance entry and exit signals to maximize returns.
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 142.0 | |||
| Day Typical Price | 142.0 | |||
| Price Action Indicator | (1.50) | |||
| Period Momentum Indicator | (3.00) |
Hanover Insurance Risk Indicators
The analysis of Hanover Insurance'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 Hanover Insurance's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting hanover 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 | 1.11 | |||
| Standard Deviation | 1.62 | |||
| Variance | 2.62 |
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 Hanover Insurance
The number of cover stories for Hanover Insurance depends on current market conditions and Hanover Insurance's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Hanover Insurance 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 Hanover Insurance'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 Hanover Insurance to cross-verify your projections. You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.