CCC Intelligent Stock Forward View - Polynomial Regression

CCCSDelisted Stock  USD 8.73  -0.25  -2.78%   
The Polynomial Regression forecast reference data for CCC Intelligent Solutions is based on the equity's recent trading history. This page summarizes the model output and key accuracy metrics for reference.
The Polynomial Regression forecasted value of CCC Intelligent Solutions on the next trading day is expected to be 9.04 with a mean absolute deviation of 0.13 and the sum of the absolute errors of 7.78.A single variable polynomial regression model attempts to put a curve through the CCC Intelligent historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm All Polynomial Regression forecast figures shown for CCC Intelligent Solutions are reference data reflecting model output based on available historical prices.
CCC Intelligent polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for CCC Intelligent Solutions as well as the accuracy indicators are determined from the period prices.

Polynomial Regression Price Forecast For the 21st of March

Given 90 days horizon, the Polynomial Regression forecasted value of CCC Intelligent Solutions on the next trading day is expected to be 9.04 with a mean absolute deviation of 0.13 , mean absolute percentage error of 0.03 , and the sum of the absolute errors of 7.78 .
Please note that although there have been many attempts to predict CCC 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 CCC Intelligent's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Stock Forecast Pattern

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Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of CCC Intelligent stock data series using in forecasting. Note that when a statistical model is used to represent CCC Intelligent 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.
AICAkaike Information Criteria114.4469
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1275
MAPEMean absolute percentage error0.0137
SAESum of the absolute errors7.778
A single variable polynomial regression model attempts to put a curve through the CCC Intelligent historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

CCC Intelligent Related Equities

The following equities are related to CCC Intelligent within the Information Technology space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing CCC Intelligent against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
 Risk & Return  Correlation

CCC Intelligent Market Strength Events

Analyzing market strength indicators for CCC Intelligent enables investors to understand how the stock performs relative to overall market momentum. These indicators are valuable tools for identifying when to enter or exit positions in CCC Intelligent Solutions.

CCC Intelligent Risk Indicators

Identifying and analyzing CCC Intelligent's key risk indicators is a foundational step in projecting how its price may evolve. This process quantifies the risk associated with CCC Intelligent's and decide how to manage it.
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 CCC Intelligent

Story coverage around CCC Intelligent Solutions often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.

CCC Intelligent Short Properties

Short-interest signals around CCC Intelligent Solutions can help investors judge whether skeptical positioning is starting to pressure price predictability and market tone. Used correctly, these measures can help investors decide when hedging or timing discipline may matter more than conviction alone.
Common Stock Shares Outstanding641.9 M
Cash And Short Term Investments399 M
CCC Intelligent has a market cap of 5.7 B, operating margin of 9.43%, ROE of 0.29%. Allocation context is available in Trending Equities. The portfolio view reflects current allocation structure. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in median.
CCC Intelligent currently shows ROE of 0.29%, market cap of 5.7 Billion. Investors get more value from CCC Intelligent analysis when it is combined with the construction and diversification tools listed below. CCC Intelligent analysis across multiple dimensions - risk, valuation, diversification - produces a more informed position-sizing decision. You can also try the Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.

Other Consideration for investing in CCC Stock

CCC Intelligent Solutions trading may continue in OTC markets, though regulatory oversight differs from listed exchanges.
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