Sensata Technologies Stock Forecast - Polynomial Regression

ST Stock  USD 27.38  0.43  1.55%   
The Polynomial Regression forecasted value of Sensata Technologies Holding on the next trading day is expected to be 27.18 with a mean absolute deviation of 0.69 and the sum of the absolute errors of 42.32. Sensata Stock Forecast is based on your current time horizon.
  
Sensata Technologies polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Sensata Technologies Holding as well as the accuracy indicators are determined from the period prices.

Sensata Technologies Polynomial Regression Price Forecast For the 28th of December

Given 90 days horizon, the Polynomial Regression forecasted value of Sensata Technologies Holding on the next trading day is expected to be 27.18 with a mean absolute deviation of 0.69, mean absolute percentage error of 0.69, and the sum of the absolute errors of 42.32.
Please note that although there have been many attempts to predict Sensata 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 Sensata Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Sensata Technologies Stock Forecast Pattern

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Sensata Technologies Forecasted Value

In the context of forecasting Sensata Technologies' 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. Sensata Technologies' downside and upside margins for the forecasting period are 25.20 and 29.15, respectively. We have considered Sensata Technologies' 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
27.38
27.18
Expected Value
29.15
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Sensata Technologies stock data series using in forecasting. Note that when a statistical model is used to represent Sensata Technologies 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 Criteria117.7447
BiasArithmetic mean of the errors None
MADMean absolute deviation0.6938
MAPEMean absolute percentage error0.0216
SAESum of the absolute errors42.3247
A single variable polynomial regression model attempts to put a curve through the Sensata Technologies historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Sensata Technologies

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sensata Technologies. 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 Sensata Technologies' 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
25.3727.3529.33
Details
Intrinsic
Valuation
LowRealHigh
24.5432.3434.32
Details
18 Analysts
Consensus
LowTargetHigh
45.5050.0055.50
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.850.860.86
Details

Other Forecasting Options for Sensata Technologies

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

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

Sensata Technologies 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 Sensata Technologies' 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 Sensata Technologies' current price.

Sensata Technologies Market Strength Events

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

Sensata Technologies Risk Indicators

The analysis of Sensata Technologies' 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 Sensata Technologies' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sensata 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.

Thematic Opportunities

Explore Investment Opportunities

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Additional Tools for Sensata Stock Analysis

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