Deutsche Bank Stock Forecast - Simple Exponential Smoothing

DBK Stock   16.25  0.34  2.05%   
The Simple Exponential Smoothing forecasted value of Deutsche Bank Aktiengesellschaft on the next trading day is expected to be 16.26 with a mean absolute deviation of 0.19 and the sum of the absolute errors of 11.38. Deutsche Stock Forecast is based on your current time horizon.
  
Deutsche Bank 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 Deutsche Bank Aktiengesellschaft are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Deutsche Bank Aktien prices get older.

Deutsche Bank Simple Exponential Smoothing Price Forecast For the 23rd of December

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Deutsche Bank Aktiengesellschaft on the next trading day is expected to be 16.26 with a mean absolute deviation of 0.19, mean absolute percentage error of 0.05, and the sum of the absolute errors of 11.38.
Please note that although there have been many attempts to predict Deutsche 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 Deutsche Bank's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Deutsche Bank Stock Forecast Pattern

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Deutsche Bank Forecasted Value

In the context of forecasting Deutsche Bank'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. Deutsche Bank's downside and upside margins for the forecasting period are 14.84 and 17.68, respectively. We have considered Deutsche Bank'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
16.25
16.26
Expected Value
17.68
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 Deutsche Bank stock data series using in forecasting. Note that when a statistical model is used to represent Deutsche Bank 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 Criteria113.3498
BiasArithmetic mean of the errors -0.0146
MADMean absolute deviation0.1897
MAPEMean absolute percentage error0.0118
SAESum of the absolute errors11.3847
This simple exponential smoothing model begins by setting Deutsche Bank Aktiengesellschaft forecast for the second period equal to the observation of the first period. In other words, recent Deutsche Bank observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Deutsche Bank

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Deutsche Bank Aktien. 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 Deutsche Bank'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
14.8316.2517.67
Details
Intrinsic
Valuation
LowRealHigh
12.2313.6517.88
Details
Bollinger
Band Projection (param)
LowMiddleHigh
15.5416.5617.58
Details

Other Forecasting Options for Deutsche Bank

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

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

Deutsche Bank Aktien 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 Deutsche Bank'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 Deutsche Bank's current price.

Deutsche Bank Market Strength Events

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

Deutsche Bank Risk Indicators

The analysis of Deutsche Bank'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 Deutsche Bank's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting deutsche 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.

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.

Additional Tools for Deutsche Stock Analysis

When running Deutsche Bank's price analysis, check to measure Deutsche Bank's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Deutsche Bank is operating at the current time. Most of Deutsche Bank's value examination focuses on studying past and present price action to predict the probability of Deutsche Bank's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Deutsche Bank's price. Additionally, you may evaluate how the addition of Deutsche Bank to your portfolios can decrease your overall portfolio volatility.