Baidu Stock Forecast - Polynomial Regression
| B1C Stock | EUR 85.00 1.60 1.92% |
The Polynomial Regression forecasted value of Baidu Inc on the next trading day is expected to be 85.97 with a mean absolute deviation of 2.00 and the sum of the absolute errors of 121.92. Baidu Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Baidu's historical fundamentals, such as revenue growth or operating cash flow patterns.
Baidu |
Baidu Polynomial Regression Price Forecast For the 27th of December
Given 90 days horizon, the Polynomial Regression forecasted value of Baidu Inc on the next trading day is expected to be 85.97 with a mean absolute deviation of 2.00, mean absolute percentage error of 5.98, and the sum of the absolute errors of 121.92.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
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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 83.27 and 88.66, 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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression 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.| AIC | Akaike Information Criteria | 119.8986 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.9988 |
| MAPE | Mean absolute percentage error | 0.0232 |
| SAE | Sum of the absolute errors | 121.9238 |
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.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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
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.
| Mean Deviation | 2.14 | |||
| Semi Deviation | 2.68 | |||
| Standard Deviation | 2.86 | |||
| Variance | 8.2 | |||
| Downside Variance | 8.6 | |||
| Semi Variance | 7.16 | |||
| Expected Short fall | (2.20) |
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
Additional Information and Resources on Investing in Baidu Stock
When determining whether Baidu Inc is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Baidu Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Baidu Inc Stock. Highlighted below are key reports to facilitate an investment decision about Baidu Inc Stock:Check out Historical Fundamental Analysis of Baidu to cross-verify your projections. You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.