Safety Insurance (Germany) Market Value
| SFN Stock | EUR 81.50 2.50 3.16% |
| Symbol | Safety |
Safety 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 Safety 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 Safety Insurance.
| 12/07/2022 |
| 11/26/2024 |
If you would invest 0.00 in Safety Insurance on December 7, 2022 and sell it all today you would earn a total of 0.00 from holding Safety Insurance Group or generate 0.0% return on investment in Safety Insurance over 720 days. Safety Insurance is related to or competes with COMPUTERSHARE, J+J SNACK, Performance Food, Iridium Communications, Austevoll Seafood, and SENECA FOODS-A. Safety Insurance Group, Inc. provides private passenger and commercial automobile insurance in Massachusetts, New Hampsh... More
Safety 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 Safety 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 Safety Insurance Group upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.34 | |||
| Information Ratio | 0.0087 | |||
| Maximum Drawdown | 5.96 | |||
| Value At Risk | (2.03) | |||
| Potential Upside | 3.18 |
Safety Insurance Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Safety Insurance's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Safety Insurance's standard deviation. In reality, there are many statistical measures that can use Safety Insurance historical prices to predict the future Safety Insurance's volatility.| Risk Adjusted Performance | 0.0806 | |||
| Jensen Alpha | 0.0373 | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | 0.0094 | |||
| Treynor Ratio | 0.1678 |
Safety Insurance Backtested Returns
At this point, Safety Insurance is very steady. Safety Insurance owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0872, which indicates the firm had a 0.0872% return per unit of risk over the last 3 months. We have found thirty technical indicators for Safety Insurance Group, which you can use to evaluate the volatility of the company. Please validate Safety Insurance's Semi Deviation of 0.9472, risk adjusted performance of 0.0806, and Coefficient Of Variation of 1010.97 to confirm if the risk estimate we provide is consistent with the expected return of 0.13%. Safety Insurance has a performance score of 6 on a scale of 0 to 100. The entity has a beta of 0.79, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Safety Insurance's returns are expected to increase less than the market. However, during the bear market, the loss of holding Safety Insurance is expected to be smaller as well. Safety Insurance right now has a risk of 1.46%. Please validate Safety Insurance standard deviation, treynor ratio, downside variance, as well as the relationship between the total risk alpha and value at risk , to decide if Safety Insurance will be following its existing price patterns.
Auto-correlation | -0.21 |
Weak reverse predictability
Safety Insurance Group has weak reverse predictability. Overlapping area represents the amount of predictability between Safety Insurance time series from 7th of December 2022 to 2nd of December 2023 and 2nd of December 2023 to 26th of November 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 Safety Insurance price movement. The serial correlation of -0.21 indicates that over 21.0% of current Safety Insurance price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.21 | |
| Spearman Rank Test | -0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 12.52 |
Safety Insurance lagged returns against current returns
Autocorrelation, which is Safety 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 Safety Insurance's stock expected returns. We can calculate the autocorrelation of Safety Insurance returns to help us make a trade decision. For example, suppose you find that Safety 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 |
Safety 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 Safety Insurance stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Safety Insurance stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Safety Insurance stock over time.
Current vs Lagged Prices |
| Timeline |
Safety Insurance Lagged Returns
When evaluating Safety Insurance's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Safety Insurance stock have on its future price. Safety 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, Safety Insurance autocorrelation shows the relationship between Safety Insurance stock current value and its past values and can show if there is a momentum factor associated with investing in Safety Insurance Group.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Additional Information and Resources on Investing in Safety Stock
When determining whether Safety Insurance is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Safety Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Safety Insurance Group Stock. Highlighted below are key reports to facilitate an investment decision about Safety Insurance Group Stock:Check out Safety Insurance Correlation, Safety Insurance Volatility and Safety Insurance Alpha and Beta module to complement your research on Safety Insurance. You can also try the Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
Safety 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.