Hanover Insurance's market value is the price at which a share of Hanover Insurance trades on a public exchange. It measures the collective expectations of The Hanover Insurance investors about its performance. Hanover Insurance is trading at 460.00 as of the 20th of July 2025, a No Change since the beginning of the trading day. The stock's open price was 460.0. With this module, you can estimate the performance of a buy and hold strategy of The Hanover Insurance and determine expected loss or profit from investing in Hanover Insurance over a given investment horizon. Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation.
Symbol
Hanover
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.
0.00
04/21/2025
No Change 0.00
0.0
In 3 months and 1 day
07/20/2025
0.00
If you would invest 0.00 in Hanover Insurance on April 21, 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 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.
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.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Hanover Insurance. Your research has to be compared to or analyzed against Hanover Insurance's peers to derive any actionable benefits. When done correctly, Hanover Insurance's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Hanover Insurance.
Hanover Insurance Backtested Returns
At this point, Hanover Insurance is very steady. Hanover Insurance holds Efficiency (Sharpe) Ratio of 0.13, which attests that the entity had a 0.13 % return per unit of risk over the last 3 months. We have found seventeen technical indicators for Hanover Insurance, which you can use to evaluate the volatility of the firm. Please check out Hanover Insurance's Market Risk Adjusted Performance of (4.21), standard deviation of 0.2699, and Risk Adjusted Performance of 0.0904 to validate if the risk estimate we provide is consistent with the expected return of 0.0348%. Hanover Insurance has a performance score of 9 on a scale of 0 to 100. The company retains a Market Volatility (i.e., Beta) of -0.0055, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Hanover Insurance are expected to decrease at a much lower rate. During the bear market, Hanover Insurance is likely to outperform the market. Hanover Insurance right now retains a risk of 0.28%. Please check out Hanover Insurance standard deviation, information ratio, maximum drawdown, as well as the relationship between the variance and jensen alpha , to decide if Hanover Insurance will be following its current trending patterns.
Auto-correlation
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No correlation between past and present
The Hanover Insurance has no correlation between past and present. Overlapping area represents the amount of predictability between Hanover Insurance time series from 21st of April 2025 to 5th of June 2025 and 5th of June 2025 to 20th of July 2025. 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 0.0 indicates that just 0.0% of current Hanover Insurance price fluctuation can be explain by its past prices.
Correlation Coefficient
0.0
Spearman Rank Test
1.0
Residual Average
0.0
Price Variance
12.84
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
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.