Tata Steel Stock Forecast - 4 Period Moving Average

TTST Stock  USD 17.10  0.10  0.59%   
The 4 Period Moving Average forecasted value of Tata Steel Limited on the next trading day is expected to be 16.76 with a mean absolute deviation of 0.38 and the sum of the absolute errors of 21.65. Tata Stock Forecast is based on your current time horizon. Although Tata Steel's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Tata Steel's systematic risk associated with finding meaningful patterns of Tata Steel fundamentals over time.
  
At this time, Tata Steel's Payables Turnover is quite stable compared to the past year. Fixed Asset Turnover is expected to rise to 1.96 this year, although the value of Inventory Turnover will most likely fall to 2.73. . Common Stock Shares Outstanding is expected to rise to about 13.1 B this year. Net Income Applicable To Common Shares is expected to rise to about 148.3 B this year.
A four-period moving average forecast model for Tata Steel Limited is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Tata Steel 4 Period Moving Average Price Forecast For the 27th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of Tata Steel Limited on the next trading day is expected to be 16.76 with a mean absolute deviation of 0.38, mean absolute percentage error of 0.24, and the sum of the absolute errors of 21.65.
Please note that although there have been many attempts to predict Tata 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 Tata Steel's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Tata Steel Stock Forecast Pattern

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Tata Steel Forecasted Value

In the context of forecasting Tata Steel'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. Tata Steel's downside and upside margins for the forecasting period are 14.76 and 18.77, respectively. We have considered Tata Steel'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
17.10
16.76
Expected Value
18.77
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Tata Steel stock data series using in forecasting. Note that when a statistical model is used to represent Tata Steel 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 Criteria109.3132
BiasArithmetic mean of the errors 0.0417
MADMean absolute deviation0.3798
MAPEMean absolute percentage error0.0213
SAESum of the absolute errors21.65
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Tata Steel. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Tata Steel Limited and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Tata Steel

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Tata Steel Limited. 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
14.9716.9919.01
Details
Intrinsic
Valuation
LowRealHigh
12.6114.6318.70
Details

Other Forecasting Options for Tata Steel

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

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

Tata Steel Limited 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 Tata Steel'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 Tata Steel's current price.

Tata Steel Market Strength Events

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

Tata Steel Risk Indicators

The analysis of Tata Steel'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 Tata Steel's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting tata 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.

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Other Information on Investing in Tata Stock

Tata Steel financial ratios help investors to determine whether Tata 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 Tata with respect to the benefits of owning Tata Steel security.