Kuehne Nagel Stock Forecast - Simple Exponential Smoothing

KNIU Stock  EUR 42.40  0.20  0.47%   
The Simple Exponential Smoothing forecasted value of Kuehne Nagel International on the next trading day is expected to be 42.39 with a mean absolute deviation of 0.44 and the sum of the absolute errors of 26.49. Kuehne Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Kuehne Nagel's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Kuehne Nagel simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Kuehne Nagel International are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Kuehne Nagel Interna prices get older.

Kuehne Nagel Simple Exponential Smoothing Price Forecast For the 24th of December

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Kuehne Nagel International on the next trading day is expected to be 42.39 with a mean absolute deviation of 0.44, mean absolute percentage error of 0.43, and the sum of the absolute errors of 26.49.
Please note that although there have been many attempts to predict Kuehne 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 Kuehne Nagel's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Kuehne Nagel Stock Forecast Pattern

Backtest Kuehne NagelKuehne Nagel Price PredictionBuy or Sell Advice 

Kuehne Nagel Forecasted Value

In the context of forecasting Kuehne Nagel'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. Kuehne Nagel's downside and upside margins for the forecasting period are 40.90 and 43.89, respectively. We have considered Kuehne Nagel'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
42.40
42.39
Expected Value
43.89
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Kuehne Nagel stock data series using in forecasting. Note that when a statistical model is used to represent Kuehne Nagel 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 Criteria115.4219
BiasArithmetic mean of the errors 0.1543
MADMean absolute deviation0.4415
MAPEMean absolute percentage error0.0098
SAESum of the absolute errors26.4871
This simple exponential smoothing model begins by setting Kuehne Nagel International forecast for the second period equal to the observation of the first period. In other words, recent Kuehne Nagel observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Kuehne Nagel

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 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Kuehne Nagel's 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
40.9142.4043.89
Details
Intrinsic
Valuation
LowRealHigh
38.1644.2045.69
Details

Other Forecasting Options for Kuehne Nagel

For every potential investor in Kuehne, whether a beginner or expert, Kuehne Nagel's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Kuehne Stock 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 Nagel's price trends.

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

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

Kuehne Nagel Market Strength Events

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

Kuehne Nagel Risk Indicators

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

Currently Active Assets on Macroaxis

Other Information on Investing in Kuehne Stock

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