Koninklijke Philips Pink Sheet Forecast - Naive Prediction
| RYLPF Stock | USD 25.88 0.12 0.46% |
The Naive Prediction forecasted value of Koninklijke Philips NV on the next trading day is expected to be 27.59 with a mean absolute deviation of 0.84 and the sum of the absolute errors of 51.40. Koninklijke Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Koninklijke Philips' historical fundamentals, such as revenue growth or operating cash flow patterns.
Koninklijke |
Koninklijke Philips Naive Prediction Price Forecast For the 27th of November
Given 90 days horizon, the Naive Prediction forecasted value of Koninklijke Philips NV on the next trading day is expected to be 27.59 with a mean absolute deviation of 0.84, mean absolute percentage error of 1.28, and the sum of the absolute errors of 51.40.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 Philips' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Koninklijke Philips Pink Sheet Forecast Pattern
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Koninklijke Philips Forecasted Value
In the context of forecasting Koninklijke Philips' 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. Koninklijke Philips' downside and upside margins for the forecasting period are 24.68 and 30.50, respectively. We have considered Koninklijke Philips' 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 Koninklijke Philips pink sheet data series using in forecasting. Note that when a statistical model is used to represent Koninklijke Philips 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 | 118.3556 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.8426 |
| MAPE | Mean absolute percentage error | 0.0297 |
| SAE | Sum of the absolute errors | 51.4013 |
Predictive Modules for Koninklijke Philips
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 Philips. 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 Koninklijke Philips
For every potential investor in Koninklijke, whether a beginner or expert, Koninklijke Philips' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Koninklijke Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Koninklijke. Basic forecasting techniques help filter out the noise by identifying Koninklijke Philips' price trends.Koninklijke Philips 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 Koninklijke Philips pink sheet to make a market-neutral strategy. Peer analysis of Koninklijke Philips could also be used in its relative valuation, which is a method of valuing Koninklijke Philips by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Koninklijke Philips 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 Koninklijke Philips' 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 Koninklijke Philips' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Koninklijke Philips Market Strength Events
Market strength indicators help investors to evaluate how Koninklijke Philips 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 Philips shares will generate the highest return on investment. By undertsting and applying Koninklijke Philips pink sheet market strength indicators, traders can identify Koninklijke Philips NV entry and exit signals to maximize returns.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 25.88 | |||
| Day Typical Price | 25.88 | |||
| Price Action Indicator | (0.06) | |||
| Period Momentum Indicator | (0.12) | |||
| Relative Strength Index | 37.42 |
Koninklijke Philips Risk Indicators
The analysis of Koninklijke Philips' 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 Philips' 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 | 0.9124 | |||
| Standard Deviation | 2.84 | |||
| Variance | 8.09 |
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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Additional Information and Resources on Investing in Koninklijke Pink Sheet
When determining whether Koninklijke Philips is a strong investment it is important to analyze Koninklijke Philips' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Koninklijke Philips' future performance. For an informed investment choice regarding Koninklijke Pink Sheet, refer to the following important reports:Check out Historical Fundamental Analysis of Koninklijke Philips to cross-verify your projections. You can also try the Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.