Straumann Holding Pink Sheet Forecast - Polynomial Regression

SAUHF Stock  USD 126.95  5.73  4.73%   
The Polynomial Regression forecasted value of Straumann Holding AG on the next trading day is expected to be 118.93 with a mean absolute deviation of 5.80 and the sum of the absolute errors of 353.78. Straumann Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Straumann Holding's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Straumann Holding polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Straumann Holding AG as well as the accuracy indicators are determined from the period prices.

Straumann Holding Polynomial Regression Price Forecast For the 23rd of November

Given 90 days horizon, the Polynomial Regression forecasted value of Straumann Holding AG on the next trading day is expected to be 118.93 with a mean absolute deviation of 5.80, mean absolute percentage error of 46.72, and the sum of the absolute errors of 353.78.
Please note that although there have been many attempts to predict Straumann Pink Sheet 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 Straumann Holding's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Straumann Holding Pink Sheet Forecast Pattern

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Straumann Holding Forecasted Value

In the context of forecasting Straumann Holding's Pink Sheet 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. Straumann Holding's downside and upside margins for the forecasting period are 114.35 and 123.52, respectively. We have considered Straumann Holding'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
126.95
114.35
Downside
118.93
Expected Value
123.52
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 Straumann Holding pink sheet data series using in forecasting. Note that when a statistical model is used to represent Straumann Holding pink sheet, 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 Criteria121.9547
BiasArithmetic mean of the errors None
MADMean absolute deviation5.7997
MAPEMean absolute percentage error0.0407
SAESum of the absolute errors353.7841
A single variable polynomial regression model attempts to put a curve through the Straumann Holding 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 Straumann Holding

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Straumann Holding. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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
122.36126.95131.54
Details
Intrinsic
Valuation
LowRealHigh
109.46114.05139.65
Details
Bollinger
Band Projection (param)
LowMiddleHigh
114.38132.47150.56
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Straumann Holding. Your research has to be compared to or analyzed against Straumann Holding's peers to derive any actionable benefits. When done correctly, Straumann Holding's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Straumann Holding.

Other Forecasting Options for Straumann Holding

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

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Straumann Holding Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Straumann Holding'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 Straumann Holding's current price.

Straumann Holding Market Strength Events

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

Straumann Holding Risk Indicators

The analysis of Straumann Holding'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 Straumann Holding's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting straumann pink sheet 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 Straumann Pink Sheet

Straumann Holding financial ratios help investors to determine whether Straumann Pink Sheet 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 Straumann with respect to the benefits of owning Straumann Holding security.