The Hanover Insurance Stock Market Value
| THG Stock | USD 127.21 0.60 0.47% |
| Symbol | Hanover |
Hanover Insurance Price To Book Ratio
Is Hanover Insurance's industry 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 Hanover Insurance. If investors know Hanover 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 Hanover Insurance listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 16.105 | Dividend Share 3.28 | Earnings Share 0.93 | Revenue Per Share 167.885 | Quarterly Revenue Growth 0.034 |
The market value of Hanover Insurance is measured differently than its book value, which is the value of Hanover that is recorded on the company's balance sheet. Investors also form their own opinion of Hanover Insurance's value that differs from its market value or its book value, called intrinsic value, which is Hanover Insurance'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 Hanover Insurance's market value can be influenced by many factors that don't directly affect Hanover Insurance'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 Hanover Insurance's value and its price as these two are different measures arrived at by different means. Investors typically determine if Hanover Insurance is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Hanover Insurance'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.
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.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Hanover Insurance on March 20, 2024 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 30 days. Hanover Insurance is related to or competes with Horace Mann, Kemper, RLI Corp, Global Indemnity, Argo Group, NI Holdings, and Donegal Group. 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 | 1.16 | |||
| Information Ratio | 1.0E-4 | |||
| Maximum Drawdown | 5.31 | |||
| Value At Risk | (1.98) | |||
| Potential Upside | 2.31 |
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 | 0.0395 | |||
| Jensen Alpha | 0.0228 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | 1.0E-4 | |||
| Treynor Ratio | 0.0957 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hanover Insurance's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hanover Insurance Backtested Returns
Hanover Insurance holds Efficiency (Sharpe) Ratio of -0.0331, which attests that the entity had a -0.0331% 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 0.0395, downside deviation of 1.16, and Market Risk Adjusted Performance of 0.1057 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.61, which attests to possible diversification benefits within a given portfolio. 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. Hanover Insurance has an expected return of -0.0383%. Please make sure to check out Hanover Insurance jensen alpha, semi variance, day typical price, as well as the relationship between the maximum drawdown and accumulation distribution , to decide if Hanover Insurance performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.64 |
Very good reverse predictability
The Hanover Insurance has very good reverse predictability. Overlapping area represents the amount of predictability between Hanover Insurance time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th of April 2024. 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 -0.64 indicates that roughly 64.0% of current Hanover Insurance price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.64 | |
| Spearman Rank Test | -0.73 | |
| Residual Average | 0.0 | |
| Price Variance | 3.51 |
Hanover Insurance lagged returns against current returns
Autocorrelation, which is Hanover Insurance stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Hanover Insurance's stock expected returns. We can calculate the autocorrelation of Hanover Insurance returns to help us make a trade decision. For example, suppose you find that Hanover Insurance has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Hanover Insurance regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Hanover Insurance stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hanover Insurance stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Hanover Insurance stock over time.
Current vs Lagged Prices |
| Timeline |
Hanover Insurance Lagged Returns
When evaluating Hanover Insurance's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hanover Insurance stock have on its future price. Hanover Insurance autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Hanover Insurance autocorrelation shows the relationship between Hanover Insurance stock current value and its past values and can show if there is a momentum factor associated with investing in The Hanover Insurance.
Regressed Prices |
| Timeline |
Hanover Insurance Investors Sentiment
The influence of Hanover Insurance's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Hanover. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to Hanover Insurance's public news can be used to forecast risks associated with an investment in Hanover. The trend in average sentiment can be used to explain how an investor holding Hanover can time the market purely based on public headlines and social activities around The Hanover Insurance. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Hanover Insurance's market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Hanover Insurance's and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Hanover Insurance's news discussions. The higher the estimated score, the more favorable is the investor's outlook on Hanover Insurance.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Hanover Insurance in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Hanover Insurance's short interest history, or implied volatility extrapolated from Hanover Insurance options trading.
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When determining whether Hanover Insurance is a strong investment it is important to analyze Hanover Insurance's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Hanover Insurance's future performance. For an informed investment choice regarding Hanover Stock, refer to the following important reports:Check out Hanover Insurance Correlation, Hanover Insurance Volatility and Hanover Insurance Alpha and Beta module to complement your research on Hanover Insurance. Note that the Hanover Insurance information on this page should be used as a complementary analysis to other Hanover Insurance's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
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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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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.