Sixt SE Stock Forecast - Double Exponential Smoothing

SIX2 Stock  EUR 78.35  1.75  2.28%   
The Double Exponential Smoothing forecasted value of Sixt SE on the next trading day is expected to be 78.86 with a mean absolute deviation of 1.17 and the sum of the absolute errors of 69.31. Sixt Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Sixt SE's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Sixt SE works best with periods where there are trends or seasonality.

Sixt SE Double Exponential Smoothing Price Forecast For the 29th of December

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Sixt SE on the next trading day is expected to be 78.86 with a mean absolute deviation of 1.17, mean absolute percentage error of 2.81, and the sum of the absolute errors of 69.31.
Please note that although there have been many attempts to predict Sixt 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 Sixt SE's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Sixt SE Stock Forecast Pattern

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Sixt SE Forecasted Value

In the context of forecasting Sixt SE'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. Sixt SE's downside and upside margins for the forecasting period are 76.78 and 80.93, respectively. We have considered Sixt SE'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
78.35
78.86
Expected Value
80.93
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Sixt SE stock data series using in forecasting. Note that when a statistical model is used to represent Sixt SE 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 CriteriaHuge
BiasArithmetic mean of the errors -0.2528
MADMean absolute deviation1.1748
MAPEMean absolute percentage error0.0163
SAESum of the absolute errors69.3115
When Sixt SE 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 Sixt SE trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Sixt SE observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Sixt SE

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sixt SE. 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
76.2778.3580.43
Details
Intrinsic
Valuation
LowRealHigh
72.7374.8186.19
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Sixt SE. Your research has to be compared to or analyzed against Sixt SE's peers to derive any actionable benefits. When done correctly, Sixt SE'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 Sixt SE.

Other Forecasting Options for Sixt SE

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

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

Sixt SE 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 Sixt SE'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 Sixt SE's current price.

Sixt SE Market Strength Events

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

Sixt SE Risk Indicators

The analysis of Sixt SE'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 Sixt SE's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sixt 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 Sixt Stock

Sixt SE financial ratios help investors to determine whether Sixt 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 Sixt with respect to the benefits of owning Sixt SE security.