Kuehne + Pink Sheet Forecast - 8 Period Moving Average

KHNGF Stock  USD 230.17  0.96  0.42%   
The 8 Period Moving Average forecasted value of Kuehne Nagel International on the next trading day is expected to be 231.45 with a mean absolute deviation of 5.50 and the sum of the absolute errors of 291.60. Kuehne Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Kuehne +'s historical fundamentals, such as revenue growth or operating cash flow patterns.
  
An 8-period moving average forecast model for Kuehne + is based on an artificially constructed time series of Kuehne + 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.

Kuehne + 8 Period Moving Average Price Forecast For the 27th of November

Given 90 days horizon, the 8 Period Moving Average forecasted value of Kuehne Nagel International on the next trading day is expected to be 231.45 with a mean absolute deviation of 5.50, mean absolute percentage error of 42.18, and the sum of the absolute errors of 291.60.
Please note that although there have been many attempts to predict Kuehne 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 Kuehne +'s next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Kuehne + Pink Sheet Forecast Pattern

Backtest Kuehne +Kuehne + Price PredictionBuy or Sell Advice 

Kuehne + Forecasted Value

In the context of forecasting Kuehne +'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. Kuehne +'s downside and upside margins for the forecasting period are 230.25 and 232.65, respectively. We have considered Kuehne +'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
230.17
230.25
Downside
231.45
Expected Value
232.65
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 Kuehne + pink sheet data series using in forecasting. Note that when a statistical model is used to represent Kuehne + 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 Criteria107.1493
BiasArithmetic mean of the errors 5.5018
MADMean absolute deviation5.5018
MAPEMean absolute percentage error0.0214
SAESum of the absolute errors291.5962
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. Kuehne Nagel International 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Kuehne +

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Kuehne Nagel Interna. 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
228.97230.17231.37
Details
Intrinsic
Valuation
LowRealHigh
224.03225.23253.19
Details
Bollinger
Band Projection (param)
LowMiddleHigh
227.47233.10238.74
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Kuehne +. Your research has to be compared to or analyzed against Kuehne +'s peers to derive any actionable benefits. When done correctly, Kuehne +'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 Kuehne Nagel Interna.

Other Forecasting Options for Kuehne +

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

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

Kuehne Nagel Interna 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 Kuehne +'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 Kuehne +'s current price.

Kuehne + Market Strength Events

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

Kuehne + Risk Indicators

The analysis of Kuehne +'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 Kuehne +'s investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting kuehne 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.

Currently Active Assets on Macroaxis

Other Information on Investing in Kuehne Pink Sheet

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