Ajinomoto Pink Sheet Forecast - Polynomial Regression

AJINY Stock  USD 43.22  0.11  0.25%   
The Polynomial Regression forecasted value of Ajinomoto Co ADR on the next trading day is expected to be 44.68 with a mean absolute deviation of 0.58 and the sum of the absolute errors of 35.97. Ajinomoto Pink Sheet Forecast is based on your current time horizon.
  
Ajinomoto polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Ajinomoto Co ADR as well as the accuracy indicators are determined from the period prices.

Ajinomoto Polynomial Regression Price Forecast For the 12th of December 2024

Given 90 days horizon, the Polynomial Regression forecasted value of Ajinomoto Co ADR on the next trading day is expected to be 44.68 with a mean absolute deviation of 0.58, mean absolute percentage error of 0.54, and the sum of the absolute errors of 35.97.
Please note that although there have been many attempts to predict Ajinomoto 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 Ajinomoto's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Ajinomoto Pink Sheet Forecast Pattern

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Ajinomoto Forecasted Value

In the context of forecasting Ajinomoto'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. Ajinomoto's downside and upside margins for the forecasting period are 43.02 and 46.33, respectively. We have considered Ajinomoto'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
43.22
44.68
Expected Value
46.33
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 Ajinomoto pink sheet data series using in forecasting. Note that when a statistical model is used to represent Ajinomoto 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 Criteria119.3363
BiasArithmetic mean of the errors None
MADMean absolute deviation0.5802
MAPEMean absolute percentage error0.0148
SAESum of the absolute errors35.973
A single variable polynomial regression model attempts to put a curve through the Ajinomoto 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 Ajinomoto

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ajinomoto Co ADR. 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
41.5743.2244.87
Details
Intrinsic
Valuation
LowRealHigh
33.3835.0347.54
Details
Bollinger
Band Projection (param)
LowMiddleHigh
36.1040.0043.90
Details

Other Forecasting Options for Ajinomoto

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

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

Ajinomoto Co ADR 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 Ajinomoto'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 Ajinomoto's current price.

Ajinomoto Market Strength Events

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

Ajinomoto Risk Indicators

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

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Ajinomoto Pink Sheet Analysis

When running Ajinomoto's price analysis, check to measure Ajinomoto's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Ajinomoto is operating at the current time. Most of Ajinomoto's value examination focuses on studying past and present price action to predict the probability of Ajinomoto's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ajinomoto's price. Additionally, you may evaluate how the addition of Ajinomoto to your portfolios can decrease your overall portfolio volatility.