Koninklijke KPN Pink Sheet Forecast - Polynomial Regression
| KKPNYDelisted Stock | USD 3.34 0.00 0.00% |
The Polynomial Regression forecasted value of Koninklijke KPN NV on the next trading day is expected to be 3.43 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 3.04. Koninklijke Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Koninklijke KPN stock prices and determine the direction of Koninklijke KPN NV's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Koninklijke KPN's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. Koninklijke |
Most investors in Koninklijke KPN cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Koninklijke KPN's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Koninklijke KPN's price structures and extracts relationships that further increase the generated results' accuracy.
Koninklijke KPN polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Koninklijke KPN NV as well as the accuracy indicators are determined from the period prices. Koninklijke KPN Polynomial Regression Price Forecast For the 25th of April
Given 90 days horizon, the Polynomial Regression forecasted value of Koninklijke KPN NV on the next trading day is expected to be 3.43 with a mean absolute deviation of 0.05, mean absolute percentage error of 0, and the sum of the absolute errors of 3.04.Please note that although there have been many attempts to predict Koninklijke 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 Koninklijke KPN's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Koninklijke KPN Pink Sheet Forecast Pattern
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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 Koninklijke KPN pink sheet data series using in forecasting. Note that when a statistical model is used to represent Koninklijke KPN 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 | 112.4507 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0499 |
| MAPE | Mean absolute percentage error | 0.0158 |
| SAE | Sum of the absolute errors | 3.0438 |
Predictive Modules for Koninklijke KPN
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Koninklijke KPN NV. 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 Koninklijke KPN'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.
View Koninklijke KPN Related Equities
| Risk & Return | Correlation |
Koninklijke KPN Market Strength Events
Market strength indicators help investors to evaluate how Koninklijke KPN 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 Koninklijke KPN shares will generate the highest return on investment. By undertsting and applying Koninklijke KPN pink sheet market strength indicators, traders can identify Koninklijke KPN NV entry and exit signals to maximize returns.
| Accumulation Distribution | 0.009 | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 3.34 | |||
| Day Typical Price | 3.34 | |||
| Market Facilitation Index | 0.03 | |||
| Price Action Indicator | 0.005 |
Koninklijke KPN Risk Indicators
The analysis of Koninklijke KPN'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 Koninklijke KPN's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting koninklijke 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.
| Mean Deviation | 0.9049 | |||
| Semi Deviation | 0.6901 | |||
| Standard Deviation | 1.23 | |||
| Variance | 1.52 | |||
| Downside Variance | 1.55 | |||
| Semi Variance | 0.4763 | |||
| Expected Short fall | (1.15) |
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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The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
Other Consideration for investing in Koninklijke Pink Sheet
If you are still planning to invest in Koninklijke KPN NV check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Koninklijke KPN's history and understand the potential risks before investing.
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