Turkiye Is Stock Forecast - Polynomial Regression

ISCTR Stock  TRY 13.63  0.11  0.81%   
The Polynomial Regression forecasted value of Turkiye Is Bankasi on the next trading day is expected to be 14.81 with a mean absolute deviation of 0.38 and the sum of the absolute errors of 23.20. Turkiye Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Turkiye Is' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Turkiye Is polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Turkiye Is Bankasi as well as the accuracy indicators are determined from the period prices.

Turkiye Is Polynomial Regression Price Forecast For the 2nd of December

Given 90 days horizon, the Polynomial Regression forecasted value of Turkiye Is Bankasi on the next trading day is expected to be 14.81 with a mean absolute deviation of 0.38, mean absolute percentage error of 0.22, and the sum of the absolute errors of 23.20.
Please note that although there have been many attempts to predict Turkiye 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 Turkiye Is' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Turkiye Is Stock Forecast Pattern

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Turkiye Is Forecasted Value

In the context of forecasting Turkiye Is' 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. Turkiye Is' downside and upside margins for the forecasting period are 12.45 and 17.18, respectively. We have considered Turkiye Is' 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
13.63
14.81
Expected Value
17.18
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 Turkiye Is stock data series using in forecasting. Note that when a statistical model is used to represent Turkiye Is 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 Criteria116.5869
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3804
MAPEMean absolute percentage error0.0298
SAESum of the absolute errors23.2019
A single variable polynomial regression model attempts to put a curve through the Turkiye Is 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 Turkiye Is

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Turkiye Is Bankasi. 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
11.2713.6315.99
Details
Intrinsic
Valuation
LowRealHigh
8.2710.6314.99
Details
Bollinger
Band Projection (param)
LowMiddleHigh
12.5313.3314.13
Details

Other Forecasting Options for Turkiye Is

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

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

Turkiye Is Bankasi 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 Turkiye Is' 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 Turkiye Is' current price.

Turkiye Is Market Strength Events

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

Turkiye Is Risk Indicators

The analysis of Turkiye Is' 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 Turkiye Is' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting turkiye 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

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Other Information on Investing in Turkiye Stock

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