Waste Management Stock Forecast - Naive Prediction

WM Stock  USD 217.90  3.82  1.72%   
The Naive Prediction forecasted value of Waste Management on the next trading day is expected to be 222.46 with a mean absolute deviation of 2.02 and the sum of the absolute errors of 123.48. Waste Stock Forecast is based on your current time horizon. Although Waste Management's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Waste Management's systematic risk associated with finding meaningful patterns of Waste Management fundamentals over time.
  
As of the 17th of November 2024, Inventory Turnover is likely to grow to 86.56, while Payables Turnover is likely to drop 7.27. . As of the 17th of November 2024, Net Income Applicable To Common Shares is likely to grow to about 2.7 B, while Common Stock Shares Outstanding is likely to drop about 402.9 M.

Open Interest Against 2024-12-20 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 in Waste Management's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Waste Management stock based on available contracts left at the end of a trading day.
Please note that 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.

Waste Management Cash Forecast

Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the Waste Management's financial statements to estimate their effects on upcoming price movements.
 
Cash  
First Reported
1987-12-31
Previous Quarter
176 M
Current Value
614 M
Quarterly Volatility
569.7 M
 
Oil Shock
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for Waste Management is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Waste Management value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Waste Management Naive Prediction Price Forecast For the 18th of November 2024

Given 90 days horizon, the Naive Prediction forecasted value of Waste Management on the next trading day is expected to be 222.46 with a mean absolute deviation of 2.02, mean absolute percentage error of 6.76, and the sum of the absolute errors of 123.48.
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 221.34 and 223.58, 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
217.90
221.34
Downside
222.46
Expected Value
223.58
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction 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 Criteria120.0219
BiasArithmetic mean of the errors None
MADMean absolute deviation2.0243
MAPEMean absolute percentage error0.0095
SAESum of the absolute errors123.4797
This model is not at all useful as a medium-long range forecasting tool of Waste Management. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Waste Management. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

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 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
216.78217.90219.02
Details
Intrinsic
Valuation
LowRealHigh
214.72215.84239.69
Details
Bollinger
Band Projection (param)
LowMiddleHigh
205.60216.09226.58
Details
23 Analysts
Consensus
LowTargetHigh
163.40179.56199.31
Details

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.

Waste Management 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.
 Risk & Return  Correlation

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 Market Strength Events

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

Waste Management Risk Indicators

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

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Check out Historical Fundamental Analysis of Waste Management to cross-verify your projections.
To learn how to invest in Waste Stock, please use our How to Invest in Waste Management guide.
You can also try the ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
Is Environmental & Facilities Services 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 Waste Management. If investors know Waste 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 Waste Management listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
0.153
Dividend Share
2.95
Earnings Share
6.56
Revenue Per Share
53.245
Quarterly Revenue Growth
0.079
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's 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 Waste Management's value and its price as these two are different measures arrived at by different means. Investors typically determine if Waste Management is a good investment 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.