Waste Management, Stock Forecast - Simple Exponential Smoothing

WAST Stock   21.78  0.14  0.64%   
The Simple Exponential Smoothing forecasted value of Waste Management, on the next trading day is expected to be 21.78 with a mean absolute deviation of 0.16 and the sum of the absolute errors of 8.17. Waste Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Waste Management, stock prices and determine the direction of Waste Management,'s future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Waste Management,'s historical fundamentals, such as revenue growth or operating cash flow patterns.
  
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 22nd of July

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Waste Management, on the next trading day is expected to be 21.78 with a mean absolute deviation of 0.16, mean absolute percentage error of 0.06, and the sum of the absolute errors of 8.17.
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

Backtest Waste Management,Waste Management, Price PredictionBuy or Sell Advice 

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 20.70 and 22.86, 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
21.78
21.78
Expected Value
22.86
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 Criteria95.0698
BiasArithmetic mean of the errors 0.0194
MADMean absolute deviation0.1634
MAPEMean absolute percentage error0.0073
SAESum of the absolute errors8.17
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
20.7021.7822.86
Details
Intrinsic
Valuation
LowRealHigh
17.9419.0223.96
Details
Bollinger
Band Projection (param)
LowMiddleHigh
21.4422.2423.04
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.

Pair Trading with Waste Management,

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Waste Management, position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Waste Management, will appreciate offsetting losses from the drop in the long position's value.

Moving together with Waste Stock

  0.7BLM BluMetric EnvironmentalPairCorr

Moving against Waste Stock

  0.42UNH UnitedHealth Group CDRPairCorr
The ability to find closely correlated positions to Waste Management, could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Waste Management, when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Waste Management, - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Waste Management, to buy it.
The correlation of Waste Management, is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Waste Management, moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Waste Management, moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Waste Management, can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Other Information on Investing in Waste Stock

Waste Management, financial ratios help investors to determine whether Waste Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Waste with respect to the benefits of owning Waste Management, security.