Hanover Insurance (Germany) Market Value
| AF4 Stock | EUR 140.00 1.00 0.72% |
| 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.
| 04/21/2025 |
| 07/20/2025 |
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 is related to or competes with Kingdee International, Datadog, Datang International, NetSol Technologies, DATAWALK B, NTT DATA, and DATATEC. 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 | 1.99 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 10.45 | |||
| Value At Risk | (2.86) | |||
| Potential Upside | 4.7 |
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 | 0.0234 | |||
| Jensen Alpha | 0.0982 | |||
| Total Risk Alpha | (0.25) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | (0.05) |
Hanover Insurance Backtested Returns
At this point, Hanover Insurance is very steady. Hanover Insurance holds Efficiency (Sharpe) Ratio of 0.0196, which attests that the entity had a 0.0196 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Hanover Insurance, which you can use to evaluate the volatility of the firm. Please check out Hanover Insurance's Downside Deviation of 1.99, market risk adjusted performance of (0.04), and Risk Adjusted Performance of 0.0234 to validate if the risk estimate we provide is consistent with the expected return of 0.0366%. Hanover Insurance has a performance score of 1 on a scale of 0 to 100. The company retains a Market Volatility (i.e., Beta) of -0.53, which attests to possible diversification benefits within a given portfolio. 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 1.86%. Please check out Hanover Insurance downside deviation, information ratio, and the relationship between the semi deviation and coefficient of variation , to decide if Hanover Insurance will be following its current trending patterns.
Auto-correlation | -0.69 |
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 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 -0.69 indicates that around 69.0% of current Hanover Insurance price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.69 | |
| Spearman Rank Test | -0.57 | |
| Residual Average | 0.0 | |
| Price Variance | 17.58 |
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 |
Currently Active Assets on Macroaxis
Additional Information and Resources on Investing in Hanover Stock
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. You can also try the Commodity Directory module to find actively traded commodities issued by global exchanges.
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.