Alibaba Group Stock Forecast - Naive Prediction

0HCI Stock   99.50  0.84  0.84%   
The Naive Prediction forecasted value of Alibaba Group Holding on the next trading day is expected to be 99.63 with a mean absolute deviation of 2.39 and the sum of the absolute errors of 148.08. Alibaba Stock Forecast is based on your current time horizon.
  
A naive forecasting model for Alibaba Group is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Alibaba Group Holding value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Alibaba Group Naive Prediction Price Forecast For the 8th of February

Given 90 days horizon, the Naive Prediction forecasted value of Alibaba Group Holding on the next trading day is expected to be 99.63 with a mean absolute deviation of 2.39, mean absolute percentage error of 9.52, and the sum of the absolute errors of 148.08.
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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Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction 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 Criteria122.2013
BiasArithmetic mean of the errors None
MADMean absolute deviation2.3884
MAPEMean absolute percentage error0.031
SAESum of the absolute errors148.0779
This model is not at all useful as a medium-long range forecasting tool of Alibaba Group Holding. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Alibaba Group. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

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
99.5099.5099.50
Details
Intrinsic
Valuation
LowRealHigh
89.5589.55109.45
Details
Bollinger
Band Projection (param)
LowMiddleHigh
67.0177.8088.59
Details

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 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.

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 Tools for Alibaba Stock Analysis

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