The Hanover Insurance Stock Technical Analysis
| THG Stock | USD 165.01 0.74 0.45% |
As of the 1st of December, Hanover Insurance retains the Market Risk Adjusted Performance of 0.2761, downside deviation of 1.12, and Risk Adjusted Performance of 0.1589. Concerning fundamental indicators, the technical analysis model lets you check existing technical drivers of The Hanover Insurance, as well as the relationship between them. Please check out Hanover Insurance variance, as well as the relationship between the maximum drawdown and semi variance to decide if Hanover Insurance is priced fairly, providing market reflects its last-minute price of 165.01 per share. Given that The Hanover Insurance has jensen alpha of 0.129, we strongly advise you to confirm Hanover Insurance's regular market performance to make sure the company can sustain itself at a future point.
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 Analyst Consensus
| Target Price | Advice | # of Analysts | |
| 130.33 | Strong Buy | 6 | Odds |
Most Hanover analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Hanover stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Hanover Insurance, talking to its executives and customers, or listening to Hanover conference calls.
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 ten with a total number of output elements of fifty-one. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Hanover Insurance volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Hanover Insurance Trend Analysis
Use this graph to draw trend lines for The Hanover Insurance. You can use it to identify possible trend reversals for Hanover Insurance as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Hanover Insurance price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Hanover Insurance Best Fit Change Line
The following chart estimates an ordinary least squares regression model for The Hanover Insurance applied against its price change over selected period. The best fit line has a slop of 0.33 , which may imply that The Hanover Insurance will maintain its good market sentiment and make money for investors. It has 122 observation points and a regression sum of squares at 4159.33, which is the sum of squared deviations for the predicted Hanover Insurance price change compared to its average price change.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.
| 2021 | 2023 | 2024 (projected) | Dividend Yield | 0.0217 | 0.027 | 0.014 | Price To Sales Ratio | 0.9 | 0.72 | 0.6 |
Hanover Insurance December 1, 2024 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 | 0.1589 | |||
| Market Risk Adjusted Performance | 0.2761 | |||
| Mean Deviation | 0.9682 | |||
| Semi Deviation | 0.8729 | |||
| Downside Deviation | 1.12 | |||
| Coefficient Of Variation | 493.37 | |||
| Standard Deviation | 1.27 | |||
| Variance | 1.62 | |||
| Information Ratio | 0.0945 | |||
| Jensen Alpha | 0.129 | |||
| Total Risk Alpha | 0.0355 | |||
| Sortino Ratio | 0.107 | |||
| Treynor Ratio | 0.2661 | |||
| Maximum Drawdown | 5.73 | |||
| Value At Risk | (1.52) | |||
| Potential Upside | 2.14 | |||
| Downside Variance | 1.26 | |||
| Semi Variance | 0.762 | |||
| Expected Short fall | (1.08) | |||
| Skewness | 0.4741 | |||
| Kurtosis | 1.24 |
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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