TUI AG Pink Sheet Forecast - Triple Exponential Smoothing

TUIFF Stock  USD 9.13  0.00  0.00%   
The Triple Exponential Smoothing forecasted value of TUI AG on the next trading day is expected to be 9.13 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 4.57. TUI Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of TUI AG's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Triple exponential smoothing for TUI AG - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When TUI AG prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in TUI AG price movement. However, neither of these exponential smoothing models address any seasonality of TUI AG.

TUI AG Triple Exponential Smoothing Price Forecast For the 29th of December

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of TUI AG on the next trading day is expected to be 9.13 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.04, and the sum of the absolute errors of 4.57.
Please note that although there have been many attempts to predict TUI 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 TUI AG's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

TUI AG Pink Sheet Forecast Pattern

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TUI AG Forecasted Value

In the context of forecasting TUI AG'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. TUI AG's downside and upside margins for the forecasting period are 6.59 and 11.67, respectively. We have considered TUI AG'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
9.13
9.13
Expected Value
11.67
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of TUI AG pink sheet data series using in forecasting. Note that when a statistical model is used to represent TUI AG 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 CriteriaHuge
BiasArithmetic mean of the errors -0.0254
MADMean absolute deviation0.0762
MAPEMean absolute percentage error0.0092
SAESum of the absolute errors4.5728
As with simple exponential smoothing, in triple exponential smoothing models past TUI AG observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older TUI AG observations.

Predictive Modules for TUI AG

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as TUI AG. 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
6.599.1311.67
Details
Intrinsic
Valuation
LowRealHigh
6.198.7311.27
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as TUI AG. Your research has to be compared to or analyzed against TUI AG's peers to derive any actionable benefits. When done correctly, TUI AG'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 TUI AG.

Other Forecasting Options for TUI AG

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

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

TUI AG 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 TUI AG'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 TUI AG's current price.

TUI AG Market Strength Events

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

TUI AG Risk Indicators

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

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