Waste Management Stock Forecast - Polynomial Regression

WM -  USA Stock  

USD 148.26  2.05  1.40%

Waste Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Waste Management historical stock prices and determine the direction of Waste Management'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 Waste Management historical fundamentals such as revenue growth or operating cash flow patterns. Although Waste Management naive historical forecasting may sometimes provide an important future outlook for the firm we recommend to always cross-verify it against solid analysis of Waste Management systematic risk associated with finding meaningful patterns of Waste Management fundamentals over time.
Check out Historical Fundamental Analysis of Waste Management to cross-verify your projections.

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Waste Management Receivables Turnover is relatively stable at the moment as compared to the past year. The company's current value of Receivables Turnover is estimated at 7.28. Accounts Payable Turnover is expected to hike to 17.01 this year, although the value of Inventory Turnover will most likely fall to 74.69. . Waste Management Weighted Average Shares is relatively stable at the moment as compared to the past year. The company's current value of Weighted Average Shares is estimated at 483.45 Million. Weighted Average Shares Diluted is expected to hike to about 486 M this year, although the value of Issuance Purchase of Equity Shares will most likely fall to (560.3 M).

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

Although open interest is a measure utilized in the options markets, it could be used to forecast Waste Management's 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 Waste Management's options reflect these daily shifts, investors could use the patterns of these changes to develop long and short trading strategies Waste Management 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 Waste Management's open interest, investors have to compare it to Waste Management's 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 Waste Management 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 Waste. 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 Waste Management 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 Waste Management's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Waste Management's price structures and extracts relationships that further increase the generated results' accuracy.
Waste Management polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Waste Management as well as the accuracy indicators are determined from the period prices.

Waste Management Polynomial Regression Price Forecast For the 3rd of August

Given 90 days horizon, the Polynomial Regression forecasted value of Waste Management on the next trading day is expected to be 149.22 with a mean absolute deviation of 0.80, mean absolute percentage error of 1.11, and the sum of the absolute errors of 48.93. Please note that although there have been many attempts to predict Waste 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 Waste Management's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Waste Management Stock Forecast Pattern

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Waste Management Forecasted Value

In the context of forecasting Waste Management'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. Waste Management's downside and upside margins for the forecasting period are 148.42 and 150.03, respectively. We have considered Waste Management'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
148.26
2nd of August 2021
148.42
Downside
149.22
Expected Value
150.03
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 Waste Management stock data series using in forecasting. Note that when a statistical model is used to represent Waste Management 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 Criteria118.2119
BiasArithmetic mean of the errors None
MADMean absolute deviation0.8021
MAPEMean absolute percentage error0.0057
SAESum of the absolute errors48.93
A single variable polynomial regression model attempts to put a curve through the Waste Management 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 Waste Management

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Waste Management. 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 Waste Management's 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 Waste Management in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
147.46148.26149.06
Details
Intrinsic
Valuation
LowReal ValueHigh
125.24126.04163.09
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
139.64144.27148.91
Details
12 Analysts
Consensus
LowTarget PriceHigh
119.00146.82165.00
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Waste Management. Your research has to be compared to or analyzed against Waste Management's peers to derive any actionable benefits. When done correctly, Waste Management's 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 Waste Management.

Other Forecasting Options for Waste Management

For every potential investor in Waste, whether a beginner or expert, Waste Management's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Waste Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Waste. Basic forecasting techniques help filter out the noise by identifying Waste Management's 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 Waste Management stock to make a market-neutral strategy. Peer analysis of Waste Management could also be used in its relative valuation, which is a method of valuing Waste Management by comparing valuation metrics with similar companies.

Waste Management 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 Waste Management'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 Waste Management's current price.

Waste Management Risk Indicators

The analysis of Waste Management's 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 Waste Management's investment and either accepting that risk or mitigating it. Along with some funamental techniques of forecasting Waste Management 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.

Be your own money manager

Our tools can tell you how much better you can do entering a position in Waste Management without increasing your portfolio risk or giving up expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate.risk-adjusted returns of your individual positions relative to your overall portfolio.

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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity..
Check out Historical Fundamental Analysis of Waste Management to cross-verify your projections. Note that the Waste Management information on this page should be used as a complementary analysis to other Waste Management's 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 Money Managers module to screen money managers from public funds and ETFs managed around the world.

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