Baidu Stock Forecast - 8 Period Moving Average

BIDU Stock  USD 84.82  1.31  1.57%   
The 8 Period Moving Average forecasted value of Baidu Inc on the next trading day is expected to be 83.82 with a mean absolute deviation of 4.98 and the sum of the absolute errors of 264.12. Baidu Stock Forecast is based on your current time horizon.
  
At this time, Baidu's Inventory Turnover is comparatively stable compared to the past year. Receivables Turnover is likely to gain to 15.98 in 2024, whereas Payables Turnover is likely to drop 6.35 in 2024. . Net Income Applicable To Common Shares is likely to gain to about 8.1 B in 2024, whereas Common Stock Shares Outstanding is likely to drop slightly above 42.1 M in 2024.
An 8-period moving average forecast model for Baidu is based on an artificially constructed time series of Baidu daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Baidu 8 Period Moving Average Price Forecast For the 29th of November

Given 90 days horizon, the 8 Period Moving Average forecasted value of Baidu Inc on the next trading day is expected to be 83.82 with a mean absolute deviation of 4.98, mean absolute percentage error of 42.86, and the sum of the absolute errors of 264.12.
Please note that although there have been many attempts to predict Baidu 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 Baidu's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Baidu Stock Forecast Pattern

Backtest BaiduBaidu Price PredictionBuy or Sell Advice 

Baidu Forecasted Value

In the context of forecasting Baidu'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. Baidu's downside and upside margins for the forecasting period are 80.92 and 86.72, respectively. We have considered Baidu'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
84.82
83.82
Expected Value
86.72
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Baidu stock data series using in forecasting. Note that when a statistical model is used to represent Baidu 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 Criteria107.1654
BiasArithmetic mean of the errors -0.0287
MADMean absolute deviation4.9834
MAPEMean absolute percentage error0.0514
SAESum of the absolute errors264.12
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. Baidu Inc 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Baidu

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Baidu Inc. 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 Baidu'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
81.9784.8787.77
Details
Intrinsic
Valuation
LowRealHigh
76.34105.41108.31
Details
37 Analysts
Consensus
LowTargetHigh
159.55175.33194.62
Details
Earnings
Estimates (0)
LowProjected EPSHigh
16.0018.4119.48
Details

Other Forecasting Options for Baidu

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

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

Baidu Inc 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 Baidu'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 Baidu's current price.

Baidu Market Strength Events

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

Baidu Risk Indicators

The analysis of Baidu'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 Baidu's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting baidu 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 Baidu Stock Analysis

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