Verisk Analytics (Germany) Technical Analysis
| VA7A Stock | EUR 170.00 1.10 0.65% |
As of the 1st of March, Verisk Analytics has the Risk Adjusted Performance of (0.06), variance of 3.68, and Coefficient Of Variation of (1,208). In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Verisk Analytics, as well as the relationship between them. Please validate Verisk Analytics mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if Verisk Analytics is priced more or less accurately, providing market reflects its prevalent price of 170.0 per share.
Verisk Analytics Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Verisk, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to VeriskVerisk |
Verisk Analytics '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 Verisk Analytics' 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 Verisk Analytics.
| 12/01/2025 |
| 03/01/2026 |
If you would invest 0.00 in Verisk Analytics on December 1, 2025 and sell it all today you would earn a total of 0.00 from holding Verisk Analytics or generate 0.0% return on investment in Verisk Analytics over 90 days. Verisk Analytics is related to or competes with Sun Life, Panther Minerals, TINC Comm, Ring Energy, DIVIDEND GROWTH, AdCapital, and VIETNAM ENTERPRISE. Verisk Analytics, Inc. provides data analytics solutions in the United States and internationally More
Verisk Analytics 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 Verisk Analytics' 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 Verisk Analytics upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 8.86 | |||
| Value At Risk | (3.25) | |||
| Potential Upside | 2.75 |
Verisk Analytics Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Verisk Analytics' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Verisk Analytics' standard deviation. In reality, there are many statistical measures that can use Verisk Analytics historical prices to predict the future Verisk Analytics' volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.37) | |||
| Treynor Ratio | 0.3261 |
Verisk Analytics March 1, 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 | (0.06) | |||
| Market Risk Adjusted Performance | 0.3361 | |||
| Mean Deviation | 1.38 | |||
| Coefficient Of Variation | (1,208) | |||
| Standard Deviation | 1.92 | |||
| Variance | 3.68 | |||
| Information Ratio | (0.13) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.37) | |||
| Treynor Ratio | 0.3261 | |||
| Maximum Drawdown | 8.86 | |||
| Value At Risk | (3.25) | |||
| Potential Upside | 2.75 | |||
| Skewness | 0.1415 | |||
| Kurtosis | 1.61 |
Verisk Analytics Backtested Returns
Verisk Analytics owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0928, which indicates the firm had a -0.0928 % return per unit of risk over the last 3 months. Verisk Analytics exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Verisk Analytics' Coefficient Of Variation of (1,208), variance of 3.68, and Risk Adjusted Performance of (0.06) to confirm the risk estimate we provide. The entity has a beta of -0.52, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Verisk Analytics are expected to decrease at a much lower rate. During the bear market, Verisk Analytics is likely to outperform the market. At this point, Verisk Analytics has a negative expected return of -0.18%. Please make sure to validate Verisk Analytics' kurtosis, rate of daily change, and the relationship between the skewness and daily balance of power , to decide if Verisk Analytics performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.18 |
Insignificant reverse predictability
Verisk Analytics has insignificant reverse predictability. Overlapping area represents the amount of predictability between Verisk Analytics time series from 1st of December 2025 to 15th of January 2026 and 15th of January 2026 to 1st of March 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 Verisk Analytics price movement. The serial correlation of -0.18 indicates that over 18.0% of current Verisk Analytics price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.18 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 269.71 |
Verisk Analytics 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.
Verisk Analytics Technical Analysis
The output start index for this execution was two with a total number of output elements of fifty-nine. The Normalized Average True Range is used to analyze tradable apportunities for Verisk Analytics across different markets.
About Verisk Analytics 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 Verisk Analytics 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 Verisk Analytics based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Verisk Analytics price pattern first instead of the macroeconomic environment surrounding Verisk Analytics. By analyzing Verisk Analytics'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 Verisk Analytics'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 Verisk Analytics specific price patterns or momentum indicators. Please read more on our technical analysis page.
Verisk Analytics March 1, 2026 Technical Indicators
Most technical analysis of Verisk 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 Verisk from various momentum indicators to cycle indicators. When you analyze Verisk 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 | (0.06) | |||
| Market Risk Adjusted Performance | 0.3361 | |||
| Mean Deviation | 1.38 | |||
| Coefficient Of Variation | (1,208) | |||
| Standard Deviation | 1.92 | |||
| Variance | 3.68 | |||
| Information Ratio | (0.13) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.37) | |||
| Treynor Ratio | 0.3261 | |||
| Maximum Drawdown | 8.86 | |||
| Value At Risk | (3.25) | |||
| Potential Upside | 2.75 | |||
| Skewness | 0.1415 | |||
| Kurtosis | 1.61 |
Verisk Analytics March 1, 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 Verisk 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 | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 170.00 | ||
| Day Typical Price | 170.00 | ||
| Price Action Indicator | 0.55 |
Complementary Tools for Verisk Stock analysis
When running Verisk Analytics' price analysis, check to measure Verisk Analytics' 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 Verisk Analytics is operating at the current time. Most of Verisk Analytics' value examination focuses on studying past and present price action to predict the probability of Verisk Analytics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Verisk Analytics' price. Additionally, you may evaluate how the addition of Verisk Analytics to your portfolios can decrease your overall portfolio volatility.
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