DSV Panalpina Stock Forecast - 8 Period Moving Average

DS81 Stock  EUR 204.40  0.90  0.44%   
The 8 Period Moving Average forecasted value of DSV Panalpina AS on the next trading day is expected to be 204.57 with a mean absolute deviation of 3.37 and the sum of the absolute errors of 181.82. DSV Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of DSV Panalpina's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
An 8-period moving average forecast model for DSV Panalpina is based on an artificially constructed time series of DSV Panalpina daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

DSV Panalpina 8 Period Moving Average Price Forecast For the 12th of December 2024

Given 90 days horizon, the 8 Period Moving Average forecasted value of DSV Panalpina AS on the next trading day is expected to be 204.57 with a mean absolute deviation of 3.37, mean absolute percentage error of 27.93, and the sum of the absolute errors of 181.82.
Please note that although there have been many attempts to predict DSV 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 DSV Panalpina's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

DSV Panalpina Stock Forecast Pattern

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DSV Panalpina Forecasted Value

In the context of forecasting DSV Panalpina'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. DSV Panalpina's downside and upside margins for the forecasting period are 202.71 and 206.44, respectively. We have considered DSV Panalpina'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
204.40
202.71
Downside
204.57
Expected Value
206.44
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of DSV Panalpina stock data series using in forecasting. Note that when a statistical model is used to represent DSV Panalpina 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.
AICAkaike Information Criteria108.575
BiasArithmetic mean of the errors -1.7105
MADMean absolute deviation3.367
MAPEMean absolute percentage error0.0167
SAESum of the absolute errors181.8188
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. DSV Panalpina AS 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for DSV Panalpina

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as DSV Panalpina AS. 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.
Hype
Prediction
LowEstimatedHigh
202.13204.40206.67
Details
Intrinsic
Valuation
LowRealHigh
165.47167.74224.84
Details
Bollinger
Band Projection (param)
LowMiddleHigh
192.10199.86207.62
Details

Other Forecasting Options for DSV Panalpina

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

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

DSV Panalpina AS 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 DSV Panalpina'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 DSV Panalpina's current price.

DSV Panalpina Market Strength Events

Market strength indicators help investors to evaluate how DSV Panalpina stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading DSV Panalpina shares will generate the highest return on investment. By undertsting and applying DSV Panalpina stock market strength indicators, traders can identify DSV Panalpina AS entry and exit signals to maximize returns.

DSV Panalpina Risk Indicators

The analysis of DSV Panalpina'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 DSV Panalpina's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting dsv 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.
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 DSV Stock

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