Sharda Stock Forecast - Simple Regression

SHARDAMOTR   1,076  14.70  1.39%   
The Simple Regression forecasted value of Sharda Motor Industries on the next trading day is expected to be 1,070 with a mean absolute deviation of 14.43 and the sum of the absolute errors of 880.14. Sharda Stock Forecast is based on your current time horizon.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Sharda price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Sharda Simple Regression Price Forecast For the 23rd of October

Given 90 days horizon, the Simple Regression forecasted value of Sharda Motor Industries on the next trading day is expected to be 1,070 with a mean absolute deviation of 14.43, mean absolute percentage error of 402.48, and the sum of the absolute errors of 880.14.
Please note that although there have been many attempts to predict Sharda 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 Sharda's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Sharda Stock Forecast Pattern

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Sharda Forecasted Value

In the context of forecasting Sharda'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. Sharda's downside and upside margins for the forecasting period are 1,068 and 1,072, respectively. We have considered Sharda'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
1,076
1,070
Expected Value
1,072
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Sharda stock data series using in forecasting. Note that when a statistical model is used to represent Sharda 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 Criteria124.1081
BiasArithmetic mean of the errors None
MADMean absolute deviation14.4285
MAPEMean absolute percentage error0.0136
SAESum of the absolute errors880.1394
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Sharda Motor Industries historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Sharda

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sharda Motor Industries. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Sharda's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
968.131,0791,081
Details
Intrinsic
Valuation
LowRealHigh
902.12903.941,183
Details

Other Forecasting Options for Sharda

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

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

Sharda Motor Industries 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 Sharda'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 Sharda's current price.

Sharda Market Strength Events

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

Sharda Risk Indicators

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

Other Information on Investing in Sharda Stock

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