Daimler Truck Pink Sheet Forecast - 4 Period Moving Average

DTGHF Stock  USD 36.08  0.38  1.06%   
The 4 Period Moving Average forecasted value of Daimler Truck Holding on the next trading day is expected to be 36.42 with a mean absolute deviation of 0.82 and the sum of the absolute errors of 46.78. Daimler Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Daimler Truck's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A four-period moving average forecast model for Daimler Truck Holding is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Daimler Truck 4 Period Moving Average Price Forecast For the 30th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of Daimler Truck Holding on the next trading day is expected to be 36.42 with a mean absolute deviation of 0.82, mean absolute percentage error of 1.04, and the sum of the absolute errors of 46.78.
Please note that although there have been many attempts to predict Daimler 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 Daimler Truck's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Daimler Truck Pink Sheet Forecast Pattern

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Daimler Truck Forecasted Value

In the context of forecasting Daimler Truck'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. Daimler Truck's downside and upside margins for the forecasting period are 34.32 and 38.52, respectively. We have considered Daimler Truck'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.
Market Value
36.08
36.42
Expected Value
38.52
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Daimler Truck pink sheet data series using in forecasting. Note that when a statistical model is used to represent Daimler Truck 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 Criteria110.7943
BiasArithmetic mean of the errors -0.0912
MADMean absolute deviation0.8207
MAPEMean absolute percentage error0.0215
SAESum of the absolute errors46.7825
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Daimler Truck. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Daimler Truck Holding and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Daimler Truck

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Daimler Truck Holding. 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.
Hype
Prediction
LowEstimatedHigh
33.9836.0838.18
Details
Intrinsic
Valuation
LowRealHigh
30.5732.6739.69
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Daimler Truck. Your research has to be compared to or analyzed against Daimler Truck's peers to derive any actionable benefits. When done correctly, Daimler Truck's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Daimler Truck Holding.

Other Forecasting Options for Daimler Truck

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

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

Daimler Truck Holding 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 Daimler Truck'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 Daimler Truck's current price.

Daimler Truck Market Strength Events

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

Daimler Truck Risk Indicators

The analysis of Daimler Truck'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 Daimler Truck's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting daimler 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 Daimler Pink Sheet

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