Waste Management Stock Forecast - Simple Exponential Smoothing

UWS Stock  EUR 204.50  1.60  0.78%   
The Simple Exponential Smoothing forecasted value of Waste Management on the next trading day is expected to be 204.50 with a mean absolute deviation of 1.71 and the sum of the absolute errors of 104.21. Waste Stock Forecast is based on your current time horizon.
  
Waste Management simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Waste Management are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Waste Management prices get older.

Waste Management Simple Exponential Smoothing Price Forecast For the 13th of December 2024

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Waste Management on the next trading day is expected to be 204.50 with a mean absolute deviation of 1.71, mean absolute percentage error of 6.29, and the sum of the absolute errors of 104.21.
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 203.24 and 205.76, 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
204.50
203.24
Downside
204.50
Expected Value
205.76
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing 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 Criteria119.9491
BiasArithmetic mean of the errors -0.3739
MADMean absolute deviation1.7084
MAPEMean absolute percentage error0.0085
SAESum of the absolute errors104.21
This simple exponential smoothing model begins by setting Waste Management forecast for the second period equal to the observation of the first period. In other words, recent Waste Management observations are given relatively more weight in forecasting than the older observations.

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
203.24204.50205.76
Details
Intrinsic
Valuation
LowRealHigh
145.98147.24224.95
Details
Bollinger
Band Projection (param)
LowMiddleHigh
201.95207.42212.89
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.

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 Waste Stock Analysis

When running Waste Management's 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 the 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.