HANOVER INSURANCE (Germany) Market Value
| AF4 Stock | EUR 153.00 2.00 1.32% |
| 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.
| 01/28/2025 |
| 02/27/2025 |
If you would invest 0.00 in HANOVER INSURANCE on January 28, 2025 and sell it all today you would earn a total of 0.00 from holding HANOVER INSURANCE or generate 0.0% return on investment in HANOVER INSURANCE over 30 days. HANOVER INSURANCE is related to or competes with Cairo Communication, Entravision Communications, T-Mobile, Playtech Plc, and Allegheny Technologies. 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 HANOVER INSURANCE upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.47 | |||
| Information Ratio | 0.0244 | |||
| Maximum Drawdown | 5.81 | |||
| Value At Risk | (2.03) | |||
| Potential Upside | 2.1 |
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 | 0.0248 | |||
| Jensen Alpha | 0.0331 | |||
| Total Risk Alpha | 0.0437 | |||
| Sortino Ratio | 0.0251 | |||
| Treynor Ratio | 0.0724 |
HANOVER INSURANCE Backtested Returns
At this point, HANOVER INSURANCE is very steady. HANOVER INSURANCE holds Efficiency (Sharpe) Ratio of 0.0216, which attests that the company had a 0.0216 % return per unit of volatility 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 entity. Please check out HANOVER INSURANCE's market risk adjusted performance of 0.0824, and Semi Deviation of 1.25 to validate if the risk estimate we provide is consistent with the expected return of 0.0328%. HANOVER INSURANCE has a performance score of 1 on a scale of 0 to 100. The firm retains a Market Volatility (i.e., Beta) of 0.42, 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 at this time retains a risk of 1.52%. Please check out HANOVER INSURANCE coefficient of variation, jensen alpha, sortino ratio, as well as the relationship between the information ratio and total risk alpha , to decide if HANOVER INSURANCE will be following its current trending patterns.
Auto-correlation | -0.68 |
Very good reverse predictability
HANOVER INSURANCE has very good reverse predictability. Overlapping area represents the amount of predictability between HANOVER INSURANCE time series from 28th of January 2025 to 12th of February 2025 and 12th of February 2025 to 27th of February 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 -0.68 indicates that around 68.0% of current HANOVER INSURANCE price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.68 | |
| Spearman Rank Test | -0.63 | |
| Residual Average | 0.0 | |
| Price Variance | 4.98 |
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 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.Other Information on Investing in HANOVER Stock
HANOVER INSURANCE financial ratios help investors to determine whether HANOVER Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in HANOVER with respect to the benefits of owning HANOVER INSURANCE security.