Zurich Insurance Group Stock Technical Analysis
| ZFSVF Stock | USD 760.50 41.23 5.73% |
As of the 18th of February 2026, Zurich Insurance maintains the Market Risk Adjusted Performance of 0.2628, mean deviation of 1.45, and Downside Deviation of 2.02. Relative to fundamental indicators, the technical analysis model lets you check existing technical drivers of Zurich Insurance Group, as well as the relationship between them. Specifically, you can use this information to find out if the company will indeed mirror its model of past data patterns, or the prices will eventually revert. We were able to interpolate and analyze data for nineteen technical drivers for Zurich Insurance, which can be compared to its peers. Please check out Zurich Insurance jensen alpha and downside variance to decide if Zurich Insurance is priced fairly, providing market reflects its latest price of 760.5 per share. Given that Zurich Insurance Group has jensen alpha of 0.0658, we strongly advise you to confirm Zurich Insurance's prevalent market performance to make sure the company can sustain itself at a future point.
Zurich Insurance Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Zurich, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ZurichZurich |
Zurich 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 Zurich Insurance's otc 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 Zurich Insurance.
| 11/20/2025 |
| 02/18/2026 |
If you would invest 0.00 in Zurich Insurance on November 20, 2025 and sell it all today you would earn a total of 0.00 from holding Zurich Insurance Group or generate 0.0% return on investment in Zurich Insurance over 90 days. Zurich Insurance is related to or competes with Axa SA, AXA SA, Sumitomo Mitsui, AIA, National Australia, KBC Groep, and National Australia. Zurich Insurance Group AG, together with its subsidiaries, provides insurance products and related services in Europe, t... More
Zurich 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 Zurich Insurance's otc 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 Zurich Insurance Group upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.02 | |||
| Information Ratio | 0.0189 | |||
| Maximum Drawdown | 8.7 | |||
| Value At Risk | (2.97) | |||
| Potential Upside | 3.15 |
Zurich Insurance Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Zurich Insurance's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Zurich Insurance's standard deviation. In reality, there are many statistical measures that can use Zurich Insurance historical prices to predict the future Zurich Insurance's volatility.| Risk Adjusted Performance | 0.0429 | |||
| Jensen Alpha | 0.0658 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.018 | |||
| Treynor Ratio | 0.2528 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Zurich 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.
Zurich Insurance February 18, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0429 | |||
| Market Risk Adjusted Performance | 0.2628 | |||
| Mean Deviation | 1.45 | |||
| Semi Deviation | 1.86 | |||
| Downside Deviation | 2.02 | |||
| Coefficient Of Variation | 2147.41 | |||
| Standard Deviation | 1.92 | |||
| Variance | 3.68 | |||
| Information Ratio | 0.0189 | |||
| Jensen Alpha | 0.0658 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.018 | |||
| Treynor Ratio | 0.2528 | |||
| Maximum Drawdown | 8.7 | |||
| Value At Risk | (2.97) | |||
| Potential Upside | 3.15 | |||
| Downside Variance | 4.07 | |||
| Semi Variance | 3.47 | |||
| Expected Short fall | (1.50) | |||
| Skewness | (0.02) | |||
| Kurtosis | 0.953 |
Zurich Insurance Backtested Returns
At this point, Zurich Insurance is very steady. Zurich Insurance shows Sharpe Ratio of 0.0636, which attests that the company had a 0.0636 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Zurich Insurance, which you can use to evaluate the volatility of the company. Please check out Zurich Insurance's Downside Deviation of 2.02, market risk adjusted performance of 0.2628, and Mean Deviation of 1.45 to validate if the risk estimate we provide is consistent with the expected return of 0.13%. Zurich Insurance has a performance score of 5 on a scale of 0 to 100. The firm maintains a market beta of 0.31, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Zurich Insurance's returns are expected to increase less than the market. However, during the bear market, the loss of holding Zurich Insurance is expected to be smaller as well. Zurich Insurance right now maintains a risk of 2.0%. Please check out Zurich Insurance downside variance, as well as the relationship between the accumulation distribution and market facilitation index , to decide if Zurich Insurance will be following its historical returns.
Auto-correlation | -0.22 |
Weak reverse predictability
Zurich Insurance Group has weak reverse predictability. Overlapping area represents the amount of predictability between Zurich Insurance time series from 20th of November 2025 to 4th of January 2026 and 4th of January 2026 to 18th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Zurich Insurance price movement. The serial correlation of -0.22 indicates that over 22.0% of current Zurich Insurance price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.22 | |
| Spearman Rank Test | -0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 301.82 |
Zurich Insurance technical otc 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, otc market cycles, or different charting patterns.
Zurich Insurance Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Zurich Insurance volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Zurich Insurance Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Zurich Insurance Group on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Zurich Insurance Group based on its technical analysis. In general, a bottom-up approach, as applied to this otc stock, focuses on Zurich Insurance price pattern first instead of the macroeconomic environment surrounding Zurich Insurance. By analyzing Zurich Insurance's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Zurich Insurance's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Zurich Insurance specific price patterns or momentum indicators. Please read more on our technical analysis page.
Zurich Insurance February 18, 2026 Technical Indicators
Most technical analysis of Zurich help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Zurich from various momentum indicators to cycle indicators. When you analyze Zurich charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0429 | |||
| Market Risk Adjusted Performance | 0.2628 | |||
| Mean Deviation | 1.45 | |||
| Semi Deviation | 1.86 | |||
| Downside Deviation | 2.02 | |||
| Coefficient Of Variation | 2147.41 | |||
| Standard Deviation | 1.92 | |||
| Variance | 3.68 | |||
| Information Ratio | 0.0189 | |||
| Jensen Alpha | 0.0658 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.018 | |||
| Treynor Ratio | 0.2528 | |||
| Maximum Drawdown | 8.7 | |||
| Value At Risk | (2.97) | |||
| Potential Upside | 3.15 | |||
| Downside Variance | 4.07 | |||
| Semi Variance | 3.47 | |||
| Expected Short fall | (1.50) | |||
| Skewness | (0.02) | |||
| Kurtosis | 0.953 |
Zurich Insurance February 18, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Zurich stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.60 | ||
| Daily Balance Of Power | 1.00 | ||
| Rate Of Daily Change | 1.06 | ||
| Day Median Price | 739.89 | ||
| Day Typical Price | 746.76 | ||
| Price Action Indicator | 41.23 | ||
| Market Facilitation Index | 3.75 |
Complementary Tools for Zurich OTC Stock analysis
When running Zurich Insurance's price analysis, check to measure Zurich 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 Zurich Insurance is operating at the current time. Most of Zurich Insurance's value examination focuses on studying past and present price action to predict the probability of Zurich 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 Zurich Insurance's price. Additionally, you may evaluate how the addition of Zurich Insurance to your portfolios can decrease your overall portfolio volatility.
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