Taitron Components Stock Forecast - Simple Regression

TAIT Stock  USD 3.26  0.02  0.62%   
The Simple Regression forecasted value of Taitron Components Incorporated on the next trading day is expected to be 3.20 with a mean absolute deviation of  0.06  and the sum of the absolute errors of 3.81. Taitron Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Taitron Components stock prices and determine the direction of Taitron Components Incorporated's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Taitron Components' historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Taitron Components to cross-verify your projections.
  
Most investors in Taitron Components cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Taitron Components' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Taitron Components' price structures and extracts relationships that further increase the generated results' accuracy.
Simple Regression model is a single variable regression model that attempts to put a straight line through Taitron Components 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.

Taitron Components Simple Regression Price Forecast For the 29th of March

Given 90 days horizon, the Simple Regression forecasted value of Taitron Components Incorporated on the next trading day is expected to be 3.20 with a mean absolute deviation of 0.06, mean absolute percentage error of 0.01, and the sum of the absolute errors of 3.81.
Please note that although there have been many attempts to predict Taitron 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 Taitron Components' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Taitron Components Stock Forecast Pattern

Backtest Taitron ComponentsTaitron Components Price PredictionBuy or Sell Advice 

Taitron Components Forecasted Value

In the context of forecasting Taitron Components' 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. Taitron Components' downside and upside margins for the forecasting period are 1.93 and 4.48, respectively. We have considered Taitron Components' 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
3.26
3.20
Expected Value
4.48
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 Taitron Components stock data series using in forecasting. Note that when a statistical model is used to represent Taitron Components 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 Criteria113.1569
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0625
MAPEMean absolute percentage error0.0193
SAESum of the absolute errors3.8098
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 Taitron Components Incorporated 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 Taitron Components

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Taitron Components. 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 Taitron Components' 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
1.983.264.54
Details
Intrinsic
Valuation
LowRealHigh
1.983.254.54
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Taitron Components. Your research has to be compared to or analyzed against Taitron Components' peers to derive any actionable benefits. When done correctly, Taitron Components' 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 Taitron Components.

Other Forecasting Options for Taitron Components

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

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

Taitron Components 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 Taitron Components' 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 Taitron Components' current price.

Taitron Components Market Strength Events

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

Taitron Components Risk Indicators

The analysis of Taitron Components' 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 Taitron Components' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting taitron 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

When determining whether Taitron Components is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Taitron Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Taitron Components Incorporated Stock. Highlighted below are key reports to facilitate an investment decision about Taitron Components Incorporated Stock:
Check out Historical Fundamental Analysis of Taitron Components to cross-verify your projections.
You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.

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When running Taitron Components' price analysis, check to measure Taitron Components' 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 Taitron Components is operating at the current time. Most of Taitron Components' value examination focuses on studying past and present price action to predict the probability of Taitron Components' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Taitron Components' price. Additionally, you may evaluate how the addition of Taitron Components to your portfolios can decrease your overall portfolio volatility.
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Is Taitron Components' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Taitron Components. If investors know Taitron will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Taitron Components listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Taitron Components is measured differently than its book value, which is the value of Taitron that is recorded on the company's balance sheet. Investors also form their own opinion of Taitron Components' value that differs from its market value or its book value, called intrinsic value, which is Taitron Components' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Taitron Components' market value can be influenced by many factors that don't directly affect Taitron Components' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Taitron Components' value and its price as these two are different measures arrived at by different means. Investors typically determine if Taitron Components is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Taitron Components' 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.