Advantage Solutions Stock Forecast - Polynomial Regression

ADV Stock  USD 3.55  0.05  1.39%   
The Polynomial Regression forecasted value of Advantage Solutions on the next trading day is expected to be 3.71 with a mean absolute deviation of 0.12 and the sum of the absolute errors of 7.52. Advantage Stock Forecast is based on your current time horizon.
  
At this time, Advantage Solutions' Inventory Turnover is fairly stable compared to the past year. Asset Turnover is likely to climb to 1.17 in 2024, whereas Payables Turnover is likely to drop 18.77 in 2024. . Common Stock Shares Outstanding is likely to drop to about 254.6 M in 2024. Net Loss is likely to climb to about (1.2 B) in 2024.
Advantage Solutions polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Advantage Solutions as well as the accuracy indicators are determined from the period prices.

Advantage Solutions Polynomial Regression Price Forecast For the 28th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Advantage Solutions on the next trading day is expected to be 3.71 with a mean absolute deviation of 0.12, mean absolute percentage error of 0.03, and the sum of the absolute errors of 7.52.
Please note that although there have been many attempts to predict Advantage 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 Advantage Solutions' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Advantage Solutions Stock Forecast Pattern

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Advantage Solutions Forecasted Value

In the context of forecasting Advantage Solutions' 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. Advantage Solutions' downside and upside margins for the forecasting period are 0.13 and 7.29, respectively. We have considered Advantage Solutions' 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
3.55
3.71
Expected Value
7.29
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 Advantage Solutions stock data series using in forecasting. Note that when a statistical model is used to represent Advantage Solutions 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 Criteria114.57
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1233
MAPEMean absolute percentage error0.0356
SAESum of the absolute errors7.5239
A single variable polynomial regression model attempts to put a curve through the Advantage Solutions 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 Advantage Solutions

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Advantage Solutions. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Advantage Solutions' 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.
Hype
Prediction
LowEstimatedHigh
0.183.547.12
Details
Intrinsic
Valuation
LowRealHigh
0.173.487.06
Details
3 Analysts
Consensus
LowTargetHigh
3.123.433.81
Details

Other Forecasting Options for Advantage Solutions

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

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 Risk & Return  Correlation

Advantage Solutions 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 Advantage Solutions' 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 Advantage Solutions' current price.

Advantage Solutions Market Strength Events

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

Advantage Solutions Risk Indicators

The analysis of Advantage Solutions' 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 Advantage Solutions' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting advantage 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

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Additional Tools for Advantage Stock Analysis

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