Verisk Stock Statistic Functions Linear Regression Slope

VRSK
 Stock
  

USD 186.14  2.43  1.32%   

Verisk Analytics statistic functions tool provides the execution environment for running the Linear Regression Slope function and other technical functions against Verisk Analytics. Verisk Analytics value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Linear Regression Slope function function is designed to identify and follow existing trends. Verisk Analytics statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

Execute Function
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Linear Regression Slope is the rate of change in Verisk Analytics price series over its benchmark or peer price series.
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Verisk Analytics Technical Analysis Modules

Most technical analysis of Verisk Analytics 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 other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

About Verisk Analytics Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Verisk Analytics. We use our internally-developed statistical techniques to arrive at the intrinsic value of Verisk Analytics based on widely used predictive technical indicators. In general, we focus on analyzing Verisk Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Verisk Analytics's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Verisk Analytics's intrinsic value. In addition to deriving basic predictive indicators for Verisk Analytics, we also check how macroeconomic factors affect Verisk Analytics price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2019 2020 2021 2022 (projected)
Long Term Debt to Equity1.171.00.830.85
Interest Coverage5.57.517.888.7
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Verisk Analytics' 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. Please use the tools below to analyze the current value of Verisk Analytics in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
183.52185.63187.74
Details
Intrinsic
Valuation
LowReal ValueHigh
167.16204.49206.60
Details
8 Analysts
Consensus
LowTarget PriceHigh
177.00226.67255.00
Details
Earnings
Estimates (7)
LowProjected EPSHigh
5.155.245.30
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Verisk Analytics. Your research has to be compared to or analyzed against Verisk Analytics' peers to derive any actionable benefits. When done correctly, Verisk Analytics' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Verisk Analytics.

Learn to be your own money manager

As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.

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Portfolio Volatility

Check portfolio volatility and analyze historical return density to properly model market risk
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Verisk Analytics pair trading

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Verisk Analytics position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Verisk Analytics will appreciate offsetting losses from the drop in the long position's value.

Verisk Analytics Pair Trading

Verisk Analytics Pair Trading Analysis

The ability to find closely correlated positions to Verisk Analytics could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Verisk Analytics when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Verisk Analytics - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Verisk Analytics to buy it.
The correlation of Verisk Analytics is a statistical measure of how it moves in relation to other equities. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Verisk Analytics moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Verisk Analytics moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Verisk Analytics can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
Also, please take a look at World Market Map. You can also try Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.

Complementary Tools for 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 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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Is Verisk Analytics' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Verisk Analytics. If investors know Verisk will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Verisk Analytics listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth YOY
(0.032) 
Market Capitalization
28.7 B
Quarterly Revenue Growth YOY
(0.018) 
Return On Assets
0.0997
Return On Equity
0.44
The market value of Verisk Analytics is measured differently than its book value, which is the value of Verisk that is recorded on the company's balance sheet. Investors also form their own opinion of Verisk Analytics' value that differs from its market value or its book value, called intrinsic value, which is Verisk Analytics' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Verisk Analytics' market value can be influenced by many factors that don't directly affect Verisk Analytics' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Verisk Analytics' value and its price as these two are different measures arrived at by different means. Investors typically determine Verisk Analytics value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Verisk Analytics' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.