Root Stock Forecast - Polynomial Regression

ROOT Stock  USD 108.44  0.79  0.72%   
The Polynomial Regression forecasted value of Root Inc on the next trading day is expected to be 124.55 with a mean absolute deviation of 4.23 and the sum of the absolute errors of 257.79. Root Stock Forecast is based on your current time horizon.
  
Fixed Asset Turnover is likely to gain to 75.83 in 2024, whereas Asset Turnover is likely to drop 0.22 in 2024. . Common Stock Shares Outstanding is likely to drop to about 13.2 M in 2024. Net Loss is likely to drop to about (281.3 M) in 2024.
Root polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Root Inc as well as the accuracy indicators are determined from the period prices.

Root Polynomial Regression Price Forecast For the 27th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Root Inc on the next trading day is expected to be 124.55 with a mean absolute deviation of 4.23, mean absolute percentage error of 33.31, and the sum of the absolute errors of 257.79.
Please note that although there have been many attempts to predict Root 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 Root's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Root Stock Forecast Pattern

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Root Forecasted Value

In the context of forecasting Root's 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. Root's downside and upside margins for the forecasting period are 115.01 and 134.10, respectively. We have considered Root's 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
108.44
115.01
Downside
124.55
Expected Value
134.10
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 Root stock data series using in forecasting. Note that when a statistical model is used to represent Root 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 Criteria121.6163
BiasArithmetic mean of the errors None
MADMean absolute deviation4.226
MAPEMean absolute percentage error0.0807
SAESum of the absolute errors257.7883
A single variable polynomial regression model attempts to put a curve through the Root 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 Root

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Root Inc. 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
97.60127.28136.90
Details
Intrinsic
Valuation
LowRealHigh
35.2044.82119.28
Details
Bollinger
Band Projection (param)
LowMiddleHigh
66.1392.49118.85
Details
6 Analysts
Consensus
LowTargetHigh
8.789.6510.71
Details

Other Forecasting Options for Root

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

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

Root Inc 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 Root's 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 Root's current price.

Root Market Strength Events

Market strength indicators help investors to evaluate how Root stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Root shares will generate the highest return on investment. By undertsting and applying Root stock market strength indicators, traders can identify Root Inc entry and exit signals to maximize returns.

Root Risk Indicators

The analysis of Root's 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 Root's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting root 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.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for Root Stock Analysis

When running Root's price analysis, check to measure Root's 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 Root is operating at the current time. Most of Root's value examination focuses on studying past and present price action to predict the probability of Root's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Root's price. Additionally, you may evaluate how the addition of Root to your portfolios can decrease your overall portfolio volatility.