Arkema SA Pink Sheet Forecast - Naive Prediction
| ARKAF Stock | USD 88.40 0.00 0.00% |
The Naive Prediction forecasted value of Arkema SA on the next trading day is expected to be 88.40 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. Arkema Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Arkema SA's historical fundamentals, such as revenue growth or operating cash flow patterns.
Arkema |
Arkema SA Naive Prediction Price Forecast For the 17th of December 2024
Given 90 days horizon, the Naive Prediction forecasted value of Arkema SA on the next trading day is expected to be 88.40 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.Please note that although there have been many attempts to predict Arkema 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 Arkema SA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Arkema SA Pink Sheet Forecast Pattern
| Backtest Arkema SA | Arkema SA Price Prediction | Buy or Sell Advice |
Arkema SA Forecasted Value
In the context of forecasting Arkema SA'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. Arkema SA's downside and upside margins for the forecasting period are 88.40 and 88.40, respectively. We have considered Arkema SA'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Arkema SA pink sheet data series using in forecasting. Note that when a statistical model is used to represent Arkema SA 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.| AIC | Akaike Information Criteria | 57.3839 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 0.0 |
| SAE | Sum of the absolute errors | 0.0 |
Predictive Modules for Arkema SA
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Arkema SA. 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.Other Forecasting Options for Arkema SA
For every potential investor in Arkema, whether a beginner or expert, Arkema SA's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Arkema Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Arkema. Basic forecasting techniques help filter out the noise by identifying Arkema SA's price trends.Arkema SA 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 Arkema SA pink sheet to make a market-neutral strategy. Peer analysis of Arkema SA could also be used in its relative valuation, which is a method of valuing Arkema SA by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Arkema SA 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 Arkema SA'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 Arkema SA's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Arkema SA Market Strength Events
Market strength indicators help investors to evaluate how Arkema SA 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 Arkema SA shares will generate the highest return on investment. By undertsting and applying Arkema SA pink sheet market strength indicators, traders can identify Arkema SA entry and exit signals to maximize returns.
Currently Active Assets on Macroaxis
Other Information on Investing in Arkema Pink Sheet
Arkema SA financial ratios help investors to determine whether Arkema 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 Arkema with respect to the benefits of owning Arkema SA security.