DAX Index Index Forecast - Triple Exponential Smoothing

GDAXI Index   19,323  176.42  0.92%   
The Triple Exponential Smoothing forecasted value of DAX Index on the next trading day is expected to be 19,344 with a mean absolute deviation of 130.63 and the sum of the absolute errors of 7,838. Investors can use prediction functions to forecast DAX Index's index prices and determine the direction of DAX Index's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading.
Triple exponential smoothing for DAX Index - 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 DAX Index 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 DAX Index price movement. However, neither of these exponential smoothing models address any seasonality of DAX Index.

DAX Index Triple Exponential Smoothing Price Forecast For the 24th of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of DAX Index on the next trading day is expected to be 19,344 with a mean absolute deviation of 130.63, mean absolute percentage error of 24,925, and the sum of the absolute errors of 7,838.
Please note that although there have been many attempts to predict DAX Index 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 DAX Index's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

DAX Index Index Forecast Pattern

DAX Index Forecasted Value

In the context of forecasting DAX Index's Index 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. DAX Index's downside and upside margins for the forecasting period are 19,343 and 19,345, respectively. We have considered DAX Index'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
19,323
19,343
Downside
19,344
Expected Value
19,345
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 DAX Index index data series using in forecasting. Note that when a statistical model is used to represent DAX Index index, 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 22.1364
MADMean absolute deviation130.6293
MAPEMean absolute percentage error0.0069
SAESum of the absolute errors7837.7565
As with simple exponential smoothing, in triple exponential smoothing models past DAX Index 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 DAX Index observations.

Predictive Modules for DAX Index

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as DAX Index. Regardless of method or technology, however, to accurately forecast the index market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the index 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.

Other Forecasting Options for DAX Index

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

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

DAX Index Technical and Predictive Analytics

The index market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of DAX Index'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 DAX Index's current price.

DAX Index Market Strength Events

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

DAX Index Risk Indicators

The analysis of DAX Index'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 DAX Index's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting dax index 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.