Verisk Analytics Stock Forecast - Naive Prediction
| VA7A Stock | EUR 268.70 3.50 1.29% |
The Naive Prediction forecasted value of Verisk Analytics on the next trading day is expected to be 265.65 with a mean absolute deviation of 2.88 and the sum of the absolute errors of 175.80. Verisk Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Verisk Analytics' historical fundamentals, such as revenue growth or operating cash flow patterns.
Verisk |
Verisk Analytics Naive Prediction Price Forecast For the 18th of December 2024
Given 90 days horizon, the Naive Prediction forecasted value of Verisk Analytics on the next trading day is expected to be 265.65 with a mean absolute deviation of 2.88, mean absolute percentage error of 12.85, and the sum of the absolute errors of 175.80.Please note that although there have been many attempts to predict Verisk Stock prices using its time series forecasting, we generally do not recommend 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
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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 264.37 and 266.92, 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 | 120.6638 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 2.882 |
| MAPE | Mean absolute percentage error | 0.0112 |
| SAE | Sum of the absolute errors | 175.8011 |
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.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 Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Verisk Analytics' price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Verisk Analytics' current price.| Cycle Indicators | ||
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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 | (9,223,372,036,855) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 268.7 | |||
| Day Typical Price | 268.7 | |||
| Price Action Indicator | (1.75) | |||
| Period Momentum Indicator | (3.50) |
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 | 0.9565 | |||
| Semi Deviation | 0.8585 | |||
| Standard Deviation | 1.27 | |||
| Variance | 1.61 | |||
| Downside Variance | 1.08 | |||
| Semi Variance | 0.737 | |||
| Expected Short fall | (1.21) |
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.
Currently Active Assets on Macroaxis
Additional Information and Resources on Investing in Verisk Stock
When determining whether Verisk Analytics 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 Verisk 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 Verisk Analytics Stock. Highlighted below are key reports to facilitate an investment decision about Verisk Analytics Stock: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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.