Alibaba Group Stock Forecast - Double Exponential Smoothing

BABAN Stock  MXN 1,704  44.81  2.56%   
The Double Exponential Smoothing forecasted value of Alibaba Group Holding on the next trading day is expected to be 1,674 with a mean absolute deviation of 39.98 and the sum of the absolute errors of 2,359. Alibaba Stock Forecast is based on your current time horizon.
  
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Alibaba Group works best with periods where there are trends or seasonality.

Alibaba Group Double Exponential Smoothing Price Forecast For the 24th of November

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Alibaba Group Holding on the next trading day is expected to be 1,674 with a mean absolute deviation of 39.98, mean absolute percentage error of 2,773, and the sum of the absolute errors of 2,359.
Please note that although there have been many attempts to predict Alibaba 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 Alibaba Group's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Alibaba Group Stock Forecast Pattern

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Alibaba Group Forecasted Value

In the context of forecasting Alibaba Group'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. Alibaba Group's downside and upside margins for the forecasting period are 1,671 and 1,677, respectively. We have considered Alibaba Group'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
1,704
1,674
Expected Value
1,677
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Alibaba Group stock data series using in forecasting. Note that when a statistical model is used to represent Alibaba Group 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 CriteriaHuge
BiasArithmetic mean of the errors 3.0256
MADMean absolute deviation39.983
MAPEMean absolute percentage error0.0208
SAESum of the absolute errors2358.9946
When Alibaba Group Holding prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Alibaba Group Holding trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Alibaba Group observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Alibaba Group

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Alibaba Group Holding. 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
1,7011,7041,707
Details
Intrinsic
Valuation
LowRealHigh
1,5171,5201,875
Details
Bollinger
Band Projection (param)
LowMiddleHigh
1,6771,7191,761
Details

Other Forecasting Options for Alibaba Group

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

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

Alibaba Group Holding 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 Alibaba Group'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 Alibaba Group's current price.

Alibaba Group Market Strength Events

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

Alibaba Group Risk Indicators

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

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Information and Resources on Investing in Alibaba Stock

When determining whether Alibaba Group Holding offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Alibaba Group's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Alibaba Group Holding Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Alibaba Group Holding Stock:
Check out Historical Fundamental Analysis of Alibaba Group to cross-verify your projections.
You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
Please note, there is a significant difference between Alibaba Group's value and its price as these two are different measures arrived at by different means. Investors typically determine if Alibaba Group is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Alibaba Group'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.