Fresenius Pink Sheet Forecast - Naive Prediction

FSNUF Stock  USD 34.66  0.00  0.00%   
The Naive Prediction forecasted value of Fresenius SE Co on the next trading day is expected to be 33.63 with a mean absolute deviation of 0.63 and the sum of the absolute errors of 38.54. Fresenius Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Fresenius' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A naive forecasting model for Fresenius is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Fresenius SE Co value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Fresenius Naive Prediction Price Forecast For the 23rd of December

Given 90 days horizon, the Naive Prediction forecasted value of Fresenius SE Co on the next trading day is expected to be 33.63 with a mean absolute deviation of 0.63, mean absolute percentage error of 0.65, and the sum of the absolute errors of 38.54.
Please note that although there have been many attempts to predict Fresenius 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 Fresenius' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Fresenius Pink Sheet Forecast Pattern

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Fresenius Forecasted Value

In the context of forecasting Fresenius' 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. Fresenius' downside and upside margins for the forecasting period are 31.99 and 35.26, respectively. We have considered Fresenius' 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
34.66
33.63
Expected Value
35.26
Upside

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 Fresenius pink sheet data series using in forecasting. Note that when a statistical model is used to represent Fresenius 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 Criteria117.6789
BiasArithmetic mean of the errors None
MADMean absolute deviation0.6318
MAPEMean absolute percentage error0.0181
SAESum of the absolute errors38.5384
This model is not at all useful as a medium-long range forecasting tool of Fresenius SE Co. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Fresenius. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Fresenius

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Fresenius SE. 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 Fresenius' 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.
Hype
Prediction
LowEstimatedHigh
33.0234.6636.30
Details
Intrinsic
Valuation
LowRealHigh
31.7233.3635.00
Details
Bollinger
Band Projection (param)
LowMiddleHigh
34.6634.6634.66
Details

Other Forecasting Options for Fresenius

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

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

Fresenius SE 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 Fresenius' 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 Fresenius' current price.

Fresenius Market Strength Events

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

Fresenius Risk Indicators

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

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Other Information on Investing in Fresenius Pink Sheet

Fresenius financial ratios help investors to determine whether Fresenius 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 Fresenius with respect to the benefits of owning Fresenius security.