TCI Stock Forecast - Polynomial Regression

TCI polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for TCI Co as well as the accuracy indicators are determined from the period prices.

TCI Polynomial Regression Price Forecast For the 27th of December

Given 90 days horizon, the Polynomial Regression forecasted value of TCI Co on the next trading day is expected to be 127.96 with a mean absolute deviation of 1.66, mean absolute percentage error of 4.78, and the sum of the absolute errors of 101.34.

TCI Stock Forecast Pattern

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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 TCI stock data series using in forecasting. Note that when a statistical model is used to represent TCI 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. A single variable polynomial regression model attempts to put a curve through the TCI 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 + ... + a_m*X^m

Predictive Modules for TCI

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as TCI Co. 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 Low Estimated High 124.26 125.50 126.74 Details

Intrinsic Valuation Low Real High 106.28 107.52 138.05 Details

Other Forecasting Options for TCI

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

TCI Related Equities

Risk & Return

Correlation

TCI Co 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 TCI'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 TCI's current price.

TCI Market Strength Events

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Pair Trading with TCI

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if TCI position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in TCI will appreciate offsetting losses from the drop in the long position's value.

Additional Tools for TCI Stock Analysis