Maximus Stock Forecast - Polynomial Regression

MMS -  USA Stock  

USD 89.39  0.39  0.44%

Maximus Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Maximus historical stock prices and determine the direction of Maximus's future trends based on various well-known forecasting models. However, solely looking at the historical price movement is usually misleading. Macroaxis recommends to always use this module together with analysis of Maximus historical fundamentals such as revenue growth or operating cash flow patterns. Although Maximus naive historical forecasting may sometimes provide an important future outlook for the firm we recommend to always cross-verify it against solid analysis of Maximus systematic risk associated with finding meaningful patterns of Maximus fundamentals over time.
Additionally, see Historical Fundamental Analysis of Maximus to cross-verify your projections.

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Maximus PPandE Turnover is relatively stable at the moment as compared to the past year. Maximus reported last year PPandE Turnover of 37.36. As of 08/02/2021, Receivables Turnover is likely to grow to 6.30, while Accrued Expenses Turnover is likely to drop 22.67. . Maximus Weighted Average Shares is relatively stable at the moment as compared to the past year. Maximus reported last year Weighted Average Shares of 56.76 Million. As of 08/02/2021, Weighted Average Shares Diluted is likely to grow to about 58.5 M, while Issuance Purchase of Equity Shares is likely to drop (154.2 M).

Open Interest Agains t 2021-08-20 Maximus Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Maximus' spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest Maximus' options reflect these daily shifts, investors could use the patterns of these changes to develop long and short trading strategies Maximus stock based on available contracts left at the end of a trading day.
Please note, to derive more accurate forecasting about market movement from the current Maximus' open interest, investors have to compare it to Maximus' spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Maximus is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Maximus. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Most investors in Maximus cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Maximus' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Maximus' price structures and extracts relationships that further increase the generated results' accuracy.
Maximus polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Maximus as well as the accuracy indicators are determined from the period prices.

Maximus Polynomial Regression Price Forecast For the 3rd of August

Given 90 days horizon, the Polynomial Regression forecasted value of Maximus on the next trading day is expected to be 88.67 with a mean absolute deviation of 1.08, mean absolute percentage error of 1.88, and the sum of the absolute errors of 66.13. Please note that although there have been many attempts to predict Maximus 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 Maximus' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Maximus Stock Forecast Pattern

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Maximus Forecasted Value

In the context of forecasting Maximus' 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. Maximus' downside and upside margins for the forecasting period are 87.36 and 89.98, respectively. We have considered Maximus' 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
89.39
2nd of August 2021
88.67
Expected Value
89.98
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 Maximus stock data series using in forecasting. Note that when a statistical model is used to represent Maximus 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 Criteria118.7417
BiasArithmetic mean of the errors None
MADMean absolute deviation1.084
MAPEMean absolute percentage error0.0121
SAESum of the absolute errors66.1254
A single variable polynomial regression model attempts to put a curve through the Maximus 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 Maximus

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Maximus. Regardless of method or technology, however, to accurately forecast the stock or bond 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, frequently view the market will even out over time. This tendency of Maximus' 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 Maximus in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
87.6488.9590.26
Details
Intrinsic
Valuation
LowReal ValueHigh
80.1096.3197.62
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
86.2587.9889.71
Details
3 Analysts
Consensus
LowTarget PriceHigh
95.00103.33110.00
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Maximus. Your research has to be compared to or analyzed against Maximus' peers to derive any actionable benefits. When done correctly, Maximus' 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 Maximus.

Other Forecasting Options for Maximus

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

View Currently 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 Maximus stock to make a market-neutral strategy. Peer analysis of Maximus could also be used in its relative valuation, which is a method of valuing Maximus by comparing valuation metrics with similar companies.

Maximus 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 Maximus' 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 Maximus' current price.

Maximus Market Strength Events

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

Maximus Risk Indicators

The analysis of Maximus' basic risk indicators is one of the essential steps in helping accuretelly forecast its future price. The process involves identifying the amount of risk involved in Maximus' investment and either accepting that risk or mitigating it. Along with some funamental techniques of forecasting Maximus stock price, 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 stock investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Maximus Investors Sentiment

The influence of Maximus' investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Maximus. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock markets does not have a solid backing from leading economists and market statisticians.

Current Sentiment - MMS

Maximus Investor Sentiment

Greater number of Macroaxis users are now bullish on Maximus. What is your trading attitude regarding investing in Maximus? Are you bullish or bearish?
Bullish
Bearish
98% Bullish
2% Bearish
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Additionally, see Historical Fundamental Analysis of Maximus to cross-verify your projections. Note that the Maximus information on this page should be used as a complementary analysis to other Maximus' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.

Complementary Tools for Maximus Stock analysis

When running Maximus price analysis, check to measure Maximus' 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 Maximus is operating at the current time. Most of Maximus' value examination focuses on studying past and present price action to predict the probability of Maximus' future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Maximus' price. Additionally, you may evaluate how the addition of Maximus to your portfolios can decrease your overall portfolio volatility.
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The market value of Maximus is measured differently than its book value, which is the value of Maximus that is recorded on the company's balance sheet. Investors also form their own opinion of Maximus' value that differs from its market value or its book value, called intrinsic value, which is Maximus' 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 Maximus' market value can be influenced by many factors that don't directly affect Maximus underlying business (such as pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Maximus' value and its price as these two are different measures arrived at by different means. Investors typically determine Maximus value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Maximus' 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.