Deutsche European Mutual Fund Forecast - Double Exponential Smoothing

DURSX Fund  USD 13.43  0.08  0.60%   
The Double Exponential Smoothing forecasted value of Deutsche European Equity on the next trading day is expected to be 13.42 with a mean absolute deviation of 0.09 and the sum of the absolute errors of 5.36. Deutsche Mutual Fund Forecast is based on your current time horizon.
  
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 Deutsche European works best with periods where there are trends or seasonality.

Deutsche European Double Exponential Smoothing Price Forecast For the 12th of December 2024

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Deutsche European Equity on the next trading day is expected to be 13.42 with a mean absolute deviation of 0.09, mean absolute percentage error of 0.01, and the sum of the absolute errors of 5.36.
Please note that although there have been many attempts to predict Deutsche Mutual Fund 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 European's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Deutsche European Mutual Fund Forecast Pattern

Backtest Deutsche EuropeanDeutsche European Price PredictionBuy or Sell Advice 

Deutsche European Forecasted Value

In the context of forecasting Deutsche European's Mutual Fund 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 European's downside and upside margins for the forecasting period are 12.58 and 14.26, respectively. We have considered Deutsche European'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
13.43
13.42
Expected Value
14.26
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 Deutsche European mutual fund data series using in forecasting. Note that when a statistical model is used to represent Deutsche European mutual fund, 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 -0.0192
MADMean absolute deviation0.0908
MAPEMean absolute percentage error0.0067
SAESum of the absolute errors5.3599
When Deutsche European Equity 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 Deutsche European Equity 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 Deutsche European observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Deutsche European

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 European Equity. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund 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 European'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
12.5913.4314.27
Details
Intrinsic
Valuation
LowRealHigh
12.6313.4714.31
Details
Bollinger
Band Projection (param)
LowMiddleHigh
12.8313.2513.66
Details

Other Forecasting Options for Deutsche European

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

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

Deutsche European Equity Technical and Predictive Analytics

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

Deutsche European Market Strength Events

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

Deutsche European Risk Indicators

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

Other Information on Investing in Deutsche Mutual Fund

Deutsche European financial ratios help investors to determine whether Deutsche Mutual Fund 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 Deutsche with respect to the benefits of owning Deutsche European security.
Volatility Analysis
Get historical volatility and risk analysis based on latest market data
Analyst Advice
Analyst recommendations and target price estimates broken down by several categories
Risk-Return Analysis
View associations between returns expected from investment and the risk you assume
Price Ceiling Movement
Calculate and plot Price Ceiling Movement for different equity instruments