Fanuc Pink Sheet Forecast - Polynomial Regression

FANUF Stock  USD 27.05  1.12  3.98%   
The Polynomial Regression forecasted value of Fanuc on the next trading day is expected to be 28.08 with a mean absolute deviation of 1.29 and the sum of the absolute errors of 78.80. Fanuc Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Fanuc's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Fanuc polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Fanuc as well as the accuracy indicators are determined from the period prices.

Fanuc Polynomial Regression Price Forecast For the 24th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Fanuc on the next trading day is expected to be 28.08 with a mean absolute deviation of 1.29, mean absolute percentage error of 2.44, and the sum of the absolute errors of 78.80.
Please note that although there have been many attempts to predict Fanuc 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 Fanuc's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Fanuc Pink Sheet Forecast Pattern

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Fanuc Forecasted Value

In the context of forecasting Fanuc'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. Fanuc's downside and upside margins for the forecasting period are 22.35 and 33.82, respectively. We have considered Fanuc'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
27.05
28.08
Expected Value
33.82
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 Fanuc pink sheet data series using in forecasting. Note that when a statistical model is used to represent Fanuc 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 Criteria119.0032
BiasArithmetic mean of the errors None
MADMean absolute deviation1.2917
MAPEMean absolute percentage error0.0478
SAESum of the absolute errors78.7952
A single variable polynomial regression model attempts to put a curve through the Fanuc 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 Fanuc

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Fanuc. 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 Fanuc'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
22.4428.1733.90
Details
Intrinsic
Valuation
LowRealHigh
17.5323.2628.99
Details
Bollinger
Band Projection (param)
LowMiddleHigh
26.7427.8028.85
Details

Other Forecasting Options for Fanuc

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

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Fanuc 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 Fanuc'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 Fanuc's current price.

Fanuc Market Strength Events

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

Fanuc Risk Indicators

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

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