Hanover Insurance (Germany) Technical Analysis
| AF4 Stock | EUR 145.00 4.00 2.68% |
As of the 10th of February, Hanover Insurance retains the Risk Adjusted Performance of 0.0101, downside deviation of 1.96, and Market Risk Adjusted Performance of 0.0114. Hanover Insurance technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices. Please check out Hanover Insurance mean deviation, downside deviation, standard deviation, as well as the relationship between the semi deviation and coefficient of variation to decide if Hanover Insurance is priced fairly, providing market reflects its last-minute price of 145.0 per share.
Hanover Insurance Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Hanover, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to HanoverHanover |
Hanover Insurance '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 Hanover Insurance'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 Hanover Insurance.
| 11/12/2025 |
| 02/10/2026 |
If you would invest 0.00 in Hanover Insurance on November 12, 2025 and sell it all today you would earn a total of 0.00 from holding The Hanover Insurance or generate 0.0% return on investment in Hanover Insurance over 90 days. Hanover Insurance is related to or competes with AUREA SA, Franklin Global, Bitwise Core, Reliance Steel, Toyota Tsusho, SANDVIK, and Fanuc. The Hanover Insurance Group, Inc., through its subsidiaries, provides various property and casualty insurance products a... More
Hanover Insurance 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 Hanover Insurance'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 The Hanover Insurance upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.96 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 9.57 | |||
| Value At Risk | (2.67) | |||
| Potential Upside | 2.11 |
Hanover Insurance Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hanover Insurance's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hanover Insurance's standard deviation. In reality, there are many statistical measures that can use Hanover Insurance historical prices to predict the future Hanover Insurance's volatility.| Risk Adjusted Performance | 0.0101 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.18) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.0014 |
Hanover Insurance February 10, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0101 | |||
| Market Risk Adjusted Performance | 0.0114 | |||
| Mean Deviation | 1.07 | |||
| Semi Deviation | 1.4 | |||
| Downside Deviation | 1.96 | |||
| Coefficient Of Variation | 15673.26 | |||
| Standard Deviation | 1.6 | |||
| Variance | 2.55 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.18) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.0014 | |||
| Maximum Drawdown | 9.57 | |||
| Value At Risk | (2.67) | |||
| Potential Upside | 2.11 | |||
| Downside Variance | 3.85 | |||
| Semi Variance | 1.96 | |||
| Expected Short fall | (1.37) | |||
| Skewness | 0.6248 | |||
| Kurtosis | 2.85 |
Hanover Insurance Backtested Returns
Hanover Insurance holds Efficiency (Sharpe) Ratio of -0.0659, which attests that the entity had a -0.0659 % return per unit of risk over the last 3 months. Hanover Insurance exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Hanover Insurance's Risk Adjusted Performance of 0.0101, downside deviation of 1.96, and Market Risk Adjusted Performance of 0.0114 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.14, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Hanover Insurance's returns are expected to increase less than the market. However, during the bear market, the loss of holding Hanover Insurance is expected to be smaller as well. At this point, Hanover Insurance has a negative expected return of -0.094%. Please make sure to check out Hanover Insurance's mean deviation, downside deviation, standard deviation, as well as the relationship between the semi deviation and coefficient of variation , to decide if Hanover Insurance performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.06 |
Virtually no predictability
The Hanover Insurance has virtually no predictability. Overlapping area represents the amount of predictability between Hanover Insurance time series from 12th of November 2025 to 27th of December 2025 and 27th of December 2025 to 10th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Hanover Insurance price movement. The serial correlation of 0.06 indicates that barely 6.0% of current Hanover Insurance price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.06 | |
| Spearman Rank Test | 0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 15.55 |
Hanover Insurance 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.
Hanover Insurance Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for Hanover Insurance across different markets.
About Hanover Insurance Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of The Hanover Insurance on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of The Hanover Insurance based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Hanover Insurance price pattern first instead of the macroeconomic environment surrounding Hanover Insurance. By analyzing Hanover Insurance's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Hanover Insurance's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Hanover Insurance specific price patterns or momentum indicators. Please read more on our technical analysis page.
Hanover Insurance February 10, 2026 Technical Indicators
Most technical analysis of Hanover help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Hanover from various momentum indicators to cycle indicators. When you analyze Hanover charts, please remember that the event formation may indicate an entry point for a short seller, and look at different 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 |
| Risk Adjusted Performance | 0.0101 | |||
| Market Risk Adjusted Performance | 0.0114 | |||
| Mean Deviation | 1.07 | |||
| Semi Deviation | 1.4 | |||
| Downside Deviation | 1.96 | |||
| Coefficient Of Variation | 15673.26 | |||
| Standard Deviation | 1.6 | |||
| Variance | 2.55 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.18) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.0014 | |||
| Maximum Drawdown | 9.57 | |||
| Value At Risk | (2.67) | |||
| Potential Upside | 2.11 | |||
| Downside Variance | 3.85 | |||
| Semi Variance | 1.96 | |||
| Expected Short fall | (1.37) | |||
| Skewness | 0.6248 | |||
| Kurtosis | 2.85 |
Hanover Insurance February 10, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Hanover stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.34 | ||
| Daily Balance Of Power | (2.00) | ||
| Rate Of Daily Change | 0.97 | ||
| Day Median Price | 146.00 | ||
| Day Typical Price | 145.67 | ||
| Price Action Indicator | (3.00) | ||
| Market Facilitation Index | 0.08 |
Complementary Tools for Hanover Stock analysis
When running Hanover Insurance's price analysis, check to measure Hanover Insurance'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 Hanover Insurance is operating at the current time. Most of Hanover Insurance's value examination focuses on studying past and present price action to predict the probability of Hanover Insurance's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hanover Insurance's price. Additionally, you may evaluate how the addition of Hanover Insurance to your portfolios can decrease your overall portfolio volatility.
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