Verisk Analytics Stock Forward View
| VA7A Stock | EUR 182.00 3.20 1.79% |
Verisk Stock outlook is based on your current time horizon. We suggest always using this module together with an analysis of Verisk Analytics' historical fundamentals, such as revenue growth or operating cash flow patterns.
The relative strength index (RSI) of Verisk Analytics' share price is below 30 as of 4th of March 2026. This entails that the stock is becoming oversold or undervalued. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling Verisk Analytics, making its price go up or down. Momentum 25
Sell Stretched
Oversold | Overbought |
Quarterly Earnings Growth 0.045 | Wall Street Target Price 205.71 | Quarterly Revenue Growth 0.059 |
Using Verisk Analytics hype-based prediction, you can estimate the value of Verisk Analytics from the perspective of Verisk Analytics response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Verisk Analytics on the next trading day is expected to be 200.81 with a mean absolute deviation of 2.98 and the sum of the absolute errors of 184.68. Verisk Analytics after-hype prediction price | EUR 178.79 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Verisk |
Verisk Analytics Additional Predictive Modules
Most predictive techniques to examine Verisk price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Verisk using various technical indicators. When you analyze Verisk charts, please remember that the event formation may indicate an entry point for a short seller, and look at 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 |
Verisk Analytics Naive Prediction Price Forecast For the 5th of March
Given 90 days horizon, the Naive Prediction forecasted value of Verisk Analytics on the next trading day is expected to be 200.81 with a mean absolute deviation of 2.98, mean absolute percentage error of 18.18, and the sum of the absolute errors of 184.68.Please note that although there have been many attempts to predict Verisk Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Verisk Analytics' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Verisk Analytics Stock Forecast Pattern
| Backtest Verisk Analytics | Verisk Analytics Price Prediction | Research Analysis |
Verisk Analytics Forecasted Value
In the context of forecasting Verisk Analytics' Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Verisk Analytics' downside and upside margins for the forecasting period are 198.68 and 202.95, respectively. We have considered Verisk Analytics' daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Verisk Analytics stock data series using in forecasting. Note that when a statistical model is used to represent Verisk Analytics stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 122.8486 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 2.9787 |
| MAPE | Mean absolute percentage error | 0.0177 |
| SAE | Sum of the absolute errors | 184.6785 |
Predictive Modules for Verisk Analytics
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Verisk Analytics. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Verisk Analytics After-Hype Price Density Analysis
As far as predicting the price of Verisk Analytics at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Verisk Analytics or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Verisk Analytics, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Verisk Analytics Estimiated After-Hype Price Volatility
In the context of predicting Verisk Analytics' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Verisk Analytics' historical news coverage. Verisk Analytics' after-hype downside and upside margins for the prediction period are 176.69 and 180.89, respectively. We have considered Verisk Analytics' daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Verisk Analytics is very steady at this time. Analysis and calculation of next after-hype price of Verisk Analytics is based on 3 months time horizon.
Verisk Analytics Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Verisk Analytics is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Verisk Analytics backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Verisk Analytics, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.06 | 2.13 | 0.01 | 0.00 | 10 Events / Month | 2 Events / Month | In about 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
182.00 | 178.79 | 0.01 |
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Verisk Analytics Hype Timeline
Verisk Analytics is at this time traded for 182.00on Frankfurt Exchange of Germany. The entity has historical hype elasticity of -0.01, and average elasticity to hype of competition of 0.0. Verisk is forecasted to decline in value after the next headline, with the price expected to drop to 178.79. The average volatility of media hype impact on the company price is over 100%. The price drop on the next news is expected to be -0.01%, whereas the daily expected return is at this time at -0.06%. The volatility of related hype on Verisk Analytics is about 28400.0%, with the expected price after the next announcement by competition of 182.00. About 98.0% of the company outstanding shares are owned by institutional investors. The company has Price/Earnings To Growth (PEG) ratio of 1.96. Verisk Analytics recorded earning per share (EPS) of 5.51. The entity last dividend was issued on the 13th of March 2026. Assuming the 90 days trading horizon the next forecasted press release will be in about 10 days. Check out Historical Fundamental Analysis of Verisk Analytics to cross-verify your projections.Verisk Analytics Related Hype Analysis
Having access to credible news sources related to Verisk Analytics' direct competition is more important than ever and may enhance your ability to predict Verisk Analytics' future price movements. Getting to know how Verisk Analytics' peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Verisk Analytics may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| LIE | Sun Life Financial | 0.00 | 8 per month | 1.05 | 0.09 | 1.89 | (1.85) | 9.81 | |
| 2BC | Panther Minerals | 0.02 | 3 per month | 6.08 | 0 | 16.00 | (12.00) | 38.73 | |
| 5TI | TINC Comm VA | 0.00 | 1 per month | 0.80 | 0.07 | 1.92 | (1.73) | 6.21 | |
| KWE1 | Ring Energy | (0.02) | 4 per month | 3.23 | 0.18 | 9.72 | (6.12) | 23.65 | |
| 74G | DIVIDEND GROWTH SPLIT | 0.02 | 3 per month | 1.54 | 0.13 | 4.37 | (3.02) | 10.11 | |
| LPS1 | Lenox Pasifik Investama | 0.00 | 1 per month | 0.00 | (0.11) | 12.50 | (12.50) | 34.72 | |
| ADC | AdCapital AG | (0.08) | 2 per month | 0.00 | (0.27) | 1.77 | (6.42) | 12.64 | |
| VP3 | VIETNAM ENTERPRISE INV | 0.00 | 2 per month | 1.31 | 0.03 | 4.35 | (3.03) | 11.69 |
Other Forecasting Options for Verisk Analytics
For every potential investor in Verisk, whether a beginner or expert, Verisk Analytics' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Verisk Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Verisk. Basic forecasting techniques help filter out the noise by identifying Verisk Analytics' price trends.Verisk Analytics Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Verisk Analytics stock to make a market-neutral strategy. Peer analysis of Verisk Analytics could also be used in its relative valuation, which is a method of valuing Verisk Analytics by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Verisk Analytics Market Strength Events
Market strength indicators help investors to evaluate how Verisk Analytics stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Verisk Analytics shares will generate the highest return on investment. By undertsting and applying Verisk Analytics stock market strength indicators, traders can identify Verisk Analytics entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.02 | |||
| Day Median Price | 182.0 | |||
| Day Typical Price | 182.0 | |||
| Price Action Indicator | 1.6 | |||
| Period Momentum Indicator | 3.2 | |||
| Relative Strength Index | 25.34 |
Verisk Analytics Risk Indicators
The analysis of Verisk Analytics' basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Verisk Analytics' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting verisk stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 1.44 | |||
| Standard Deviation | 2.02 | |||
| Variance | 4.09 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Verisk Analytics
The number of cover stories for Verisk Analytics depends on current market conditions and Verisk Analytics' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Verisk Analytics is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Verisk Analytics' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Check out Historical Fundamental Analysis of Verisk Analytics to cross-verify your projections. For more detail on how to invest in Verisk Stock please use our How to Invest in Verisk Analytics guide.You can also try the Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.