AstraZeneca PLC Pink Sheet Forecast - Polynomial Regression

AZNCF Stock  USD 136.50  1.80  1.34%   
The Polynomial Regression forecasted value of AstraZeneca PLC on the next trading day is expected to be 128.46 with a mean absolute deviation of 4.85 and the sum of the absolute errors of 295.63. AstraZeneca Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of AstraZeneca PLC's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
AstraZeneca PLC polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for AstraZeneca PLC as well as the accuracy indicators are determined from the period prices.

AstraZeneca PLC Polynomial Regression Price Forecast For the 30th of November

Given 90 days horizon, the Polynomial Regression forecasted value of AstraZeneca PLC on the next trading day is expected to be 128.46 with a mean absolute deviation of 4.85, mean absolute percentage error of 30.71, and the sum of the absolute errors of 295.63.
Please note that although there have been many attempts to predict AstraZeneca 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 AstraZeneca PLC's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

AstraZeneca PLC Pink Sheet Forecast Pattern

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AstraZeneca PLC Forecasted Value

In the context of forecasting AstraZeneca PLC'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. AstraZeneca PLC's downside and upside margins for the forecasting period are 126.08 and 130.83, respectively. We have considered AstraZeneca PLC'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
136.50
126.08
Downside
128.46
Expected Value
130.83
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 AstraZeneca PLC pink sheet data series using in forecasting. Note that when a statistical model is used to represent AstraZeneca PLC 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 Criteria121.5351
BiasArithmetic mean of the errors None
MADMean absolute deviation4.8464
MAPEMean absolute percentage error0.0338
SAESum of the absolute errors295.6313
A single variable polynomial regression model attempts to put a curve through the AstraZeneca PLC 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 AstraZeneca PLC

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as AstraZeneca PLC. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of AstraZeneca PLC's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
132.32134.70137.08
Details
Intrinsic
Valuation
LowRealHigh
115.87118.25148.17
Details

Other Forecasting Options for AstraZeneca PLC

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

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

AstraZeneca PLC 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 AstraZeneca PLC'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 AstraZeneca PLC's current price.

AstraZeneca PLC Market Strength Events

Market strength indicators help investors to evaluate how AstraZeneca PLC 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 AstraZeneca PLC shares will generate the highest return on investment. By undertsting and applying AstraZeneca PLC pink sheet market strength indicators, traders can identify AstraZeneca PLC entry and exit signals to maximize returns.

AstraZeneca PLC Risk Indicators

The analysis of AstraZeneca PLC'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 AstraZeneca PLC's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting astrazeneca 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 AstraZeneca Pink Sheet

AstraZeneca PLC financial ratios help investors to determine whether AstraZeneca 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 AstraZeneca with respect to the benefits of owning AstraZeneca PLC security.