Inpost SA Stock Forecast - Polynomial Regression
| INPST Stock | EUR 16.58 0.06 0.36% |
The Polynomial Regression forecasted value of Inpost SA on the next trading day is expected to be 16.07 with a mean absolute deviation of 0.33 and the sum of the absolute errors of 20.50. Inpost Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Inpost SA stock prices and determine the direction of Inpost SA's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Inpost SA's historical fundamentals, such as revenue growth or operating cash flow patterns.
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Inpost SA Polynomial Regression Price Forecast For the 1st of December
Given 90 days horizon, the Polynomial Regression forecasted value of Inpost SA on the next trading day is expected to be 16.07 with a mean absolute deviation of 0.33, mean absolute percentage error of 0.18, and the sum of the absolute errors of 20.50.Please note that although there have been many attempts to predict Inpost Stock 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 Inpost SA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Inpost SA Stock Forecast Pattern
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Inpost SA Forecasted Value
In the context of forecasting Inpost SA's Stock 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. Inpost SA's downside and upside margins for the forecasting period are 13.74 and 18.41, respectively. We have considered Inpost 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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Inpost SA stock data series using in forecasting. Note that when a statistical model is used to represent Inpost SA stock, 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 | 118.2081 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.3306 |
| MAPE | Mean absolute percentage error | 0.0188 |
| SAE | Sum of the absolute errors | 20.4984 |
Predictive Modules for Inpost 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 Inpost SA. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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 Inpost SA'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.
Other Forecasting Options for Inpost SA
For every potential investor in Inpost, whether a beginner or expert, Inpost SA's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Inpost Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Inpost. Basic forecasting techniques help filter out the noise by identifying Inpost SA's price trends.Inpost 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 Inpost SA stock to make a market-neutral strategy. Peer analysis of Inpost SA could also be used in its relative valuation, which is a method of valuing Inpost SA by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Inpost SA Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Inpost 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 Inpost SA's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Inpost SA Market Strength Events
Market strength indicators help investors to evaluate how Inpost SA stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Inpost SA shares will generate the highest return on investment. By undertsting and applying Inpost SA stock market strength indicators, traders can identify Inpost SA entry and exit signals to maximize returns.
Inpost SA Risk Indicators
The analysis of Inpost SA'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 Inpost SA's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting inpost stock 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.
| Mean Deviation | 1.4 | |||
| Semi Deviation | 1.94 | |||
| Standard Deviation | 2.32 | |||
| Variance | 5.38 | |||
| Downside Variance | 4.01 | |||
| Semi Variance | 3.78 | |||
| Expected Short fall | (1.67) |
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 Inpost Stock
Inpost SA financial ratios help investors to determine whether Inpost Stock 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 Inpost with respect to the benefits of owning Inpost SA security.