Sands China Stock Forecast - Naive Prediction

599A Stock  EUR 2.62  0.02  0.77%   
The Naive Prediction forecasted value of Sands China on the next trading day is expected to be 2.89 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 4.85. Sands Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Sands China's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A naive forecasting model for Sands China is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Sands China 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.

Sands China Naive Prediction Price Forecast For the 16th of December 2024

Given 90 days horizon, the Naive Prediction forecasted value of Sands China on the next trading day is expected to be 2.89 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.85.
Please note that although there have been many attempts to predict Sands 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 Sands China's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Sands China Stock Forecast Pattern

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Sands China Forecasted Value

In the context of forecasting Sands China'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. Sands China's downside and upside margins for the forecasting period are 0.03 and 7.40, respectively. We have considered Sands China'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
2.62
2.89
Expected Value
7.40
Upside

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 Sands China stock data series using in forecasting. Note that when a statistical model is used to represent Sands China 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 Criteria113.542
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0795
MAPEMean absolute percentage error0.035
SAESum of the absolute errors4.8476
This model is not at all useful as a medium-long range forecasting tool of Sands China. 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 Sands China. 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 Sands China

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sands China. 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
0.132.627.13
Details
Intrinsic
Valuation
LowRealHigh
0.142.837.34
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Sands China. Your research has to be compared to or analyzed against Sands China's peers to derive any actionable benefits. When done correctly, Sands China's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Sands China.

Other Forecasting Options for Sands China

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

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

Sands China 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 Sands China'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 Sands China's current price.

Sands China Market Strength Events

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

Sands China Risk Indicators

The analysis of Sands China'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 Sands China's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sands 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.

Currently Active Assets on Macroaxis

Other Information on Investing in Sands Stock

Sands China financial ratios help investors to determine whether Sands Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Sands with respect to the benefits of owning Sands China security.