Bright Scholar Stock Forecast - 20 Period Moving Average

BEDU Stock  USD 1.76  0.02  1.15%   
The 20 Period Moving Average forecasted value of Bright Scholar Education on the next trading day is expected to be 1.84 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 3.01. Bright Stock Forecast is based on your current time horizon.
  
Inventory Turnover is likely to gain to 1,133 in 2024, whereas Payables Turnover is likely to drop 12.03 in 2024. . Common Stock Shares Outstanding is likely to drop to about 29.7 M in 2024. Net Loss is likely to gain to about (337.8 M) in 2024.
A commonly used 20-period moving average forecast model for Bright Scholar Education is based on a synthetically constructed Bright Scholardaily 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.

Bright Scholar 20 Period Moving Average Price Forecast For the 30th of December

Given 90 days horizon, the 20 Period Moving Average forecasted value of Bright Scholar Education on the next trading day is expected to be 1.84 with a mean absolute deviation of 0.07, mean absolute percentage error of 0.01, and the sum of the absolute errors of 3.01.
Please note that although there have been many attempts to predict Bright 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 Bright Scholar's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Bright Scholar Stock Forecast Pattern

Backtest Bright ScholarBright Scholar Price PredictionBuy or Sell Advice 

Bright Scholar Forecasted Value

In the context of forecasting Bright Scholar'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. Bright Scholar's downside and upside margins for the forecasting period are 0.02 and 6.26, respectively. We have considered Bright Scholar'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
1.76
1.84
Expected Value
6.26
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 Bright Scholar stock data series using in forecasting. Note that when a statistical model is used to represent Bright Scholar 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 Criteria76.933
BiasArithmetic mean of the errors 0.0367
MADMean absolute deviation0.0734
MAPEMean absolute percentage error0.0418
SAESum of the absolute errors3.0095
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. Bright Scholar Education 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Bright Scholar

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Bright Scholar Education. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Bright Scholar's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
0.091.776.19
Details
Intrinsic
Valuation
LowRealHigh
0.153.037.45
Details
2 Analysts
Consensus
LowTargetHigh
6.477.117.89
Details

Other Forecasting Options for Bright Scholar

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

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

Bright Scholar Education 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 Bright Scholar'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 Bright Scholar's current price.

Bright Scholar Market Strength Events

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

Bright Scholar Risk Indicators

The analysis of Bright Scholar'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 Bright Scholar's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bright 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.
Explore Investing Ideas  

Additional Tools for Bright Stock Analysis

When running Bright Scholar's price analysis, check to measure Bright Scholar'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 Bright Scholar is operating at the current time. Most of Bright Scholar's value examination focuses on studying past and present price action to predict the probability of Bright Scholar's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bright Scholar's price. Additionally, you may evaluate how the addition of Bright Scholar to your portfolios can decrease your overall portfolio volatility.