BROOKFIELD Stock Forecast - 20 Period Moving Average

K7X Stock   57.20  0.80  1.42%   
The 20 Period Moving Average forecasted value of BROOKFIELD P CLA on the next trading day is expected to be 56.37 with a mean absolute deviation of 2.34 and the sum of the absolute errors of 95.90. BROOKFIELD Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of BROOKFIELD's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A commonly used 20-period moving average forecast model for BROOKFIELD P CLA is based on a synthetically constructed BROOKFIELDdaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

BROOKFIELD 20 Period Moving Average Price Forecast For the 12th of December 2024

Given 90 days horizon, the 20 Period Moving Average forecasted value of BROOKFIELD P CLA on the next trading day is expected to be 56.37 with a mean absolute deviation of 2.34, mean absolute percentage error of 7.49, and the sum of the absolute errors of 95.90.
Please note that although there have been many attempts to predict BROOKFIELD 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 BROOKFIELD's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

BROOKFIELD Stock Forecast Pattern

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BROOKFIELD Forecasted Value

In the context of forecasting BROOKFIELD'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. BROOKFIELD's downside and upside margins for the forecasting period are 54.44 and 58.30, respectively. We have considered BROOKFIELD'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
57.20
56.37
Expected Value
58.30
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of BROOKFIELD stock data series using in forecasting. Note that when a statistical model is used to represent BROOKFIELD 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 Criteria83.3667
BiasArithmetic mean of the errors -2.2996
MADMean absolute deviation2.3391
MAPEMean absolute percentage error0.0428
SAESum of the absolute errors95.905
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. BROOKFIELD P CLA 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for BROOKFIELD

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BROOKFIELD P CLA. 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
55.2757.2059.13
Details
Intrinsic
Valuation
LowRealHigh
51.4864.2866.21
Details
Bollinger
Band Projection (param)
LowMiddleHigh
55.3057.3059.30
Details

Other Forecasting Options for BROOKFIELD

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

BROOKFIELD 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 BROOKFIELD stock to make a market-neutral strategy. Peer analysis of BROOKFIELD could also be used in its relative valuation, which is a method of valuing BROOKFIELD by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

BROOKFIELD P CLA 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 BROOKFIELD'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 BROOKFIELD's current price.

BROOKFIELD Market Strength Events

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

BROOKFIELD Risk Indicators

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

Currently Active Assets on Macroaxis

Other Information on Investing in BROOKFIELD Stock

BROOKFIELD financial ratios help investors to determine whether BROOKFIELD 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 BROOKFIELD with respect to the benefits of owning BROOKFIELD security.