Duran Dogan Stock Forecast - Polynomial Regression

DURDO Stock  TRY 22.12  2.42  9.86%   
The Polynomial Regression forecasted value of Duran Dogan Basim ve on the next trading day is expected to be 23.19 with a mean absolute deviation of 1.78 and the sum of the absolute errors of 108.82. Duran Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Duran Dogan's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Duran Dogan polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Duran Dogan Basim ve as well as the accuracy indicators are determined from the period prices.

Duran Dogan Polynomial Regression Price Forecast For the 26th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Duran Dogan Basim ve on the next trading day is expected to be 23.19 with a mean absolute deviation of 1.78, mean absolute percentage error of 5.27, and the sum of the absolute errors of 108.82.
Please note that although there have been many attempts to predict Duran 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 Duran Dogan's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Duran Dogan Stock Forecast Pattern

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Duran Dogan Forecasted Value

In the context of forecasting Duran Dogan'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. Duran Dogan's downside and upside margins for the forecasting period are 16.35 and 30.02, respectively. We have considered Duran Dogan'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
22.12
23.19
Expected Value
30.02
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 Duran Dogan stock data series using in forecasting. Note that when a statistical model is used to represent Duran Dogan 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 Criteria119.7725
BiasArithmetic mean of the errors None
MADMean absolute deviation1.784
MAPEMean absolute percentage error0.102
SAESum of the absolute errors108.8229
A single variable polynomial regression model attempts to put a curve through the Duran Dogan 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 Duran Dogan

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Duran Dogan Basim. 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
15.3422.1228.90
Details
Intrinsic
Valuation
LowRealHigh
10.3517.1323.91
Details
Bollinger
Band Projection (param)
LowMiddleHigh
20.6522.9325.21
Details

Other Forecasting Options for Duran Dogan

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

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

Duran Dogan Basim 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 Duran Dogan'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 Duran Dogan's current price.

Duran Dogan Market Strength Events

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

Duran Dogan Risk Indicators

The analysis of Duran Dogan'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 Duran Dogan's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting duran 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 Duran Stock

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