IE00B0H4TS55 Fund Forecast - Naive Prediction

0P0000MZYR  EUR 186.22  0.25  0.13%   
The Naive Prediction forecasted value of IE00B0H4TS55 on the next trading day is expected to be 186.24 with a mean absolute deviation of 0.27 and the sum of the absolute errors of 16.58. IE00B0H4TS55 Fund Forecast is based on your current time horizon.
  
A naive forecasting model for IE00B0H4TS55 is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of IE00B0H4TS55 value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

IE00B0H4TS55 Naive Prediction Price Forecast For the 28th of November

Given 90 days horizon, the Naive Prediction forecasted value of IE00B0H4TS55 on the next trading day is expected to be 186.24 with a mean absolute deviation of 0.27, mean absolute percentage error of 0.13, and the sum of the absolute errors of 16.58.
Please note that although there have been many attempts to predict IE00B0H4TS55 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 IE00B0H4TS55's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

IE00B0H4TS55 Fund Forecast Pattern

Backtest IE00B0H4TS55IE00B0H4TS55 Price PredictionBuy or Sell Advice 

IE00B0H4TS55 Forecasted Value

In the context of forecasting IE00B0H4TS55's 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. IE00B0H4TS55's downside and upside margins for the forecasting period are 186.03 and 186.45, respectively. We have considered IE00B0H4TS55'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
186.22
186.03
Downside
186.24
Expected Value
186.45
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of IE00B0H4TS55 fund data series using in forecasting. Note that when a statistical model is used to represent IE00B0H4TS55 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 Criteria116.0652
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2718
MAPEMean absolute percentage error0.0015
SAESum of the absolute errors16.5799
This model is not at all useful as a medium-long range forecasting tool of IE00B0H4TS55. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict IE00B0H4TS55. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for IE00B0H4TS55

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as IE00B0H4TS55. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the 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.
Hype
Prediction
LowEstimatedHigh
186.01186.22186.43
Details
Intrinsic
Valuation
LowRealHigh
186.19186.40186.61
Details
Bollinger
Band Projection (param)
LowMiddleHigh
184.70185.54186.37
Details

Other Forecasting Options for IE00B0H4TS55

For every potential investor in IE00B0H4TS55, whether a beginner or expert, IE00B0H4TS55's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. IE00B0H4TS55 Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in IE00B0H4TS55. Basic forecasting techniques help filter out the noise by identifying IE00B0H4TS55's price trends.

IE00B0H4TS55 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 IE00B0H4TS55 fund to make a market-neutral strategy. Peer analysis of IE00B0H4TS55 could also be used in its relative valuation, which is a method of valuing IE00B0H4TS55 by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

IE00B0H4TS55 Technical and Predictive Analytics

The fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of IE00B0H4TS55'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 IE00B0H4TS55's current price.

IE00B0H4TS55 Market Strength Events

Market strength indicators help investors to evaluate how IE00B0H4TS55 fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading IE00B0H4TS55 shares will generate the highest return on investment. By undertsting and applying IE00B0H4TS55 fund market strength indicators, traders can identify IE00B0H4TS55 entry and exit signals to maximize returns.

IE00B0H4TS55 Risk Indicators

The analysis of IE00B0H4TS55'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 IE00B0H4TS55's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ie00b0h4ts55 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.

Currently Active Assets on Macroaxis

Other Information on Investing in IE00B0H4TS55 Fund

IE00B0H4TS55 financial ratios help investors to determine whether IE00B0H4TS55 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 IE00B0H4TS55 with respect to the benefits of owning IE00B0H4TS55 security.
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