Sydbank AS Stock Forecast - Polynomial Regression

TM2 Stock  EUR 58.25  0.30  0.51%   
The Polynomial Regression forecasted value of Sydbank AS on the next trading day is expected to be 57.63 with a mean absolute deviation of 0.64 and the sum of the absolute errors of 38.93. Sydbank Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Sydbank AS's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Sydbank AS polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Sydbank AS as well as the accuracy indicators are determined from the period prices.

Sydbank AS Polynomial Regression Price Forecast For the 31st of March

Given 90 days horizon, the Polynomial Regression forecasted value of Sydbank AS on the next trading day is expected to be 57.63 with a mean absolute deviation of 0.64, mean absolute percentage error of 0.64, and the sum of the absolute errors of 38.93.
Please note that although there have been many attempts to predict Sydbank 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 Sydbank AS's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Sydbank AS Stock Forecast Pattern

JavaScript chart by amCharts 3.21.15Jan 14Jan 22Jan 30Feb 7Feb 17Feb 25Mar 5Mar 13Mar 21Mar 3046485052545658
JavaScript chart by amCharts 3.21.15Sydbank AS Sydbank AS forecast
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Sydbank AS Forecasted Value

In the context of forecasting Sydbank AS'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. Sydbank AS's downside and upside margins for the forecasting period are 56.19 and 59.07, respectively. We have considered Sydbank AS'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
58.25
57.63
Expected Value
59.07
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 Sydbank AS stock data series using in forecasting. Note that when a statistical model is used to represent Sydbank AS 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 Criteria117.6668
BiasArithmetic mean of the errors None
MADMean absolute deviation0.6382
MAPEMean absolute percentage error0.0124
SAESum of the absolute errors38.9329
A single variable polynomial regression model attempts to put a curve through the Sydbank AS 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 Sydbank AS

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sydbank AS. 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
56.8158.2559.69
Details
Intrinsic
Valuation
LowRealHigh
50.4051.8464.08
Details
Bollinger
Band Projection (param)
LowMiddleHigh
56.5857.8659.13
Details

Other Forecasting Options for Sydbank AS

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

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

Sydbank AS 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 Sydbank AS'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 Sydbank AS's current price.

Sydbank AS Market Strength Events

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

Sydbank AS Risk Indicators

The analysis of Sydbank AS'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 Sydbank AS's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sydbank 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.

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Other Information on Investing in Sydbank Stock

Sydbank AS financial ratios help investors to determine whether Sydbank 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 Sydbank with respect to the benefits of owning Sydbank AS security.
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