Brookfield Renewable Stock Forecast - Simple Regression
| BEPJ Stock | 26.00 0.17 0.65% |
The Simple Regression forecasted value of Brookfield Renewable Partners on the next trading day is expected to be 26.34 with a mean absolute deviation of 0.18 and the sum of the absolute errors of 11.10. Brookfield Stock Forecast is based on your current time horizon.
Brookfield |
Brookfield Renewable Simple Regression Price Forecast For the 27th of November
Given 90 days horizon, the Simple Regression forecasted value of Brookfield Renewable Partners on the next trading day is expected to be 26.34 with a mean absolute deviation of 0.18, mean absolute percentage error of 0.05, and the sum of the absolute errors of 11.10.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 Renewable's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Brookfield Renewable Stock Forecast Pattern
| Backtest Brookfield Renewable | Brookfield Renewable Price Prediction | Buy or Sell Advice |
Brookfield Renewable Forecasted Value
In the context of forecasting Brookfield Renewable'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 Renewable's downside and upside margins for the forecasting period are 25.77 and 26.90, respectively. We have considered Brookfield Renewable'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Brookfield Renewable stock data series using in forecasting. Note that when a statistical model is used to represent Brookfield Renewable 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.| AIC | Akaike Information Criteria | 116.8639 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1791 |
| MAPE | Mean absolute percentage error | 0.007 |
| SAE | Sum of the absolute errors | 11.102 |
Predictive Modules for Brookfield Renewable
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 Renewable. 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.Other Forecasting Options for Brookfield Renewable
For every potential investor in Brookfield, whether a beginner or expert, Brookfield Renewable'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 Renewable's price trends.Brookfield Renewable 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 Renewable stock to make a market-neutral strategy. Peer analysis of Brookfield Renewable could also be used in its relative valuation, which is a method of valuing Brookfield Renewable by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Brookfield Renewable 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 Renewable'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 Renewable's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Brookfield Renewable Market Strength Events
Market strength indicators help investors to evaluate how Brookfield Renewable 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 Renewable shares will generate the highest return on investment. By undertsting and applying Brookfield Renewable stock market strength indicators, traders can identify Brookfield Renewable Partners entry and exit signals to maximize returns.
| Accumulation Distribution | 165.97 | |||
| Daily Balance Of Power | (0.61) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 26.11 | |||
| Day Typical Price | 26.07 | |||
| Price Action Indicator | (0.20) | |||
| Period Momentum Indicator | (0.17) |
Brookfield Renewable Risk Indicators
The analysis of Brookfield Renewable'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 Renewable'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.
| Mean Deviation | 0.4238 | |||
| Semi Deviation | 0.38 | |||
| Standard Deviation | 0.5472 | |||
| Variance | 0.2995 | |||
| Downside Variance | 0.2783 | |||
| Semi Variance | 0.1444 | |||
| Expected Short fall | (0.51) |
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.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of Brookfield Renewable to cross-verify your projections. You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Is Utilities 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 Brookfield Renewable. If investors know Brookfield 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 Brookfield Renewable listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Brookfield Renewable is measured differently than its book value, which is the value of Brookfield that is recorded on the company's balance sheet. Investors also form their own opinion of Brookfield Renewable's value that differs from its market value or its book value, called intrinsic value, which is Brookfield Renewable'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 Brookfield Renewable's market value can be influenced by many factors that don't directly affect Brookfield Renewable'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 Brookfield Renewable's value and its price as these two are different measures arrived at by different means. Investors typically determine if Brookfield Renewable is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Brookfield Renewable'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.