Clearwater Analytics Stock Forecast - Polynomial Regression

CWAN Stock  USD 31.04  0.13  0.42%   
The Polynomial Regression forecasted value of Clearwater Analytics Holdings on the next trading day is expected to be 32.86 with a mean absolute deviation of 0.72 and the sum of the absolute errors of 43.97. Clearwater Stock Forecast is based on your current time horizon. Although Clearwater Analytics' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Clearwater Analytics' systematic risk associated with finding meaningful patterns of Clearwater Analytics fundamentals over time.
  
At this time, Clearwater Analytics' Inventory Turnover is very stable compared to the past year. As of the 1st of December 2024, Payables Turnover is likely to grow to 42.33, while Asset Turnover is likely to drop 0.63. . As of the 1st of December 2024, Common Stock Shares Outstanding is likely to drop to about 165.6 M. In addition to that, Net Loss is likely to drop to about (7.5 M).
Clearwater Analytics polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Clearwater Analytics Holdings as well as the accuracy indicators are determined from the period prices.

Clearwater Analytics Polynomial Regression Price Forecast For the 2nd of December

Given 90 days horizon, the Polynomial Regression forecasted value of Clearwater Analytics Holdings on the next trading day is expected to be 32.86 with a mean absolute deviation of 0.72, mean absolute percentage error of 1.00, and the sum of the absolute errors of 43.97.
Please note that although there have been many attempts to predict Clearwater 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 Clearwater Analytics' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Clearwater Analytics Stock Forecast Pattern

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Clearwater Analytics Forecasted Value

In the context of forecasting Clearwater 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. Clearwater Analytics' downside and upside margins for the forecasting period are 30.39 and 35.34, respectively. We have considered Clearwater 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.
Market Value
31.04
32.86
Expected Value
35.34
Upside

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 Clearwater Analytics stock data series using in forecasting. Note that when a statistical model is used to represent Clearwater 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.
AICAkaike Information Criteria118.1148
BiasArithmetic mean of the errors None
MADMean absolute deviation0.7208
MAPEMean absolute percentage error0.0259
SAESum of the absolute errors43.9696
A single variable polynomial regression model attempts to put a curve through the Clearwater Analytics 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

Predictive Modules for Clearwater 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 Clearwater 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.
Hype
Prediction
LowEstimatedHigh
28.0830.5633.04
Details
Intrinsic
Valuation
LowRealHigh
25.5628.0434.14
Details
Bollinger
Band Projection (param)
LowMiddleHigh
29.9231.3232.73
Details
12 Analysts
Consensus
LowTargetHigh
19.6821.6324.01
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Clearwater Analytics. Your research has to be compared to or analyzed against Clearwater Analytics' peers to derive any actionable benefits. When done correctly, Clearwater Analytics' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Clearwater Analytics.

Other Forecasting Options for Clearwater Analytics

For every potential investor in Clearwater, whether a beginner or expert, Clearwater Analytics' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Clearwater Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Clearwater. Basic forecasting techniques help filter out the noise by identifying Clearwater Analytics' price trends.

Clearwater 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 Clearwater Analytics stock to make a market-neutral strategy. Peer analysis of Clearwater Analytics could also be used in its relative valuation, which is a method of valuing Clearwater Analytics by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Clearwater 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 Clearwater 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 Clearwater Analytics' current price.

Clearwater Analytics Market Strength Events

Market strength indicators help investors to evaluate how Clearwater 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 Clearwater Analytics shares will generate the highest return on investment. By undertsting and applying Clearwater Analytics stock market strength indicators, traders can identify Clearwater Analytics Holdings entry and exit signals to maximize returns.

Clearwater Analytics Risk Indicators

The analysis of Clearwater 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 Clearwater Analytics' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting clearwater 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.
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.

Pair Trading with Clearwater Analytics

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 Clearwater 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 Clearwater Analytics will appreciate offsetting losses from the drop in the long position's value.

Moving together with Clearwater Stock

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  0.88BL BlacklinePairCorr

Moving against Clearwater Stock

  0.63VTEX VTEXPairCorr
  0.57VERB VERB TECHNOLOGY PANY Tech BoostPairCorr
  0.33DMAN Innovativ Media GroupPairCorr
The ability to find closely correlated positions to Clearwater 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 Clearwater 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 Clearwater 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 Clearwater Analytics Holdings to buy it.
The correlation of Clearwater Analytics is a statistical measure of how it moves in relation to other instruments. 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 Clearwater Analytics moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Clearwater 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 Clearwater 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
When determining whether Clearwater Analytics offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Clearwater Analytics' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Clearwater Analytics Holdings Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Clearwater Analytics Holdings Stock:
Check out Historical Fundamental Analysis of Clearwater Analytics to cross-verify your projections.
You can also try the Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
Is Application Software space 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 Clearwater Analytics. If investors know Clearwater 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 Clearwater Analytics listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Revenue Per Share
1.984
Quarterly Revenue Growth
0.224
Return On Assets
0.0325
Return On Equity
0.0091
The market value of Clearwater Analytics is measured differently than its book value, which is the value of Clearwater that is recorded on the company's balance sheet. Investors also form their own opinion of Clearwater Analytics' value that differs from its market value or its book value, called intrinsic value, which is Clearwater 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 Clearwater Analytics' market value can be influenced by many factors that don't directly affect Clearwater 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 Clearwater Analytics' value and its price as these two are different measures arrived at by different means. Investors typically determine if Clearwater Analytics is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Clearwater 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.