Retail Estates Stock Forecast - Naive Prediction

R6N Stock  EUR 58.00  1.00  1.69%   
The Naive Prediction forecasted value of Retail Estates NV on the next trading day is expected to be 58.42 with a mean absolute deviation of 0.56 and the sum of the absolute errors of 34.17. Retail Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Retail Estates' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A naive forecasting model for Retail Estates is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Retail Estates NV 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.

Retail Estates Naive Prediction Price Forecast For the 23rd of November

Given 90 days horizon, the Naive Prediction forecasted value of Retail Estates NV on the next trading day is expected to be 58.42 with a mean absolute deviation of 0.56, mean absolute percentage error of 0.50, and the sum of the absolute errors of 34.17.
Please note that although there have been many attempts to predict Retail 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 Retail Estates' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Retail Estates Stock Forecast Pattern

Backtest Retail EstatesRetail Estates Price PredictionBuy or Sell Advice 

Retail Estates Forecasted Value

In the context of forecasting Retail Estates' 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. Retail Estates' downside and upside margins for the forecasting period are 57.31 and 59.53, respectively. We have considered Retail Estates' 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
58.00
58.42
Expected Value
59.53
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 Retail Estates stock data series using in forecasting. Note that when a statistical model is used to represent Retail Estates 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 Criteria117.4117
BiasArithmetic mean of the errors None
MADMean absolute deviation0.5602
MAPEMean absolute percentage error0.0088
SAESum of the absolute errors34.1708
This model is not at all useful as a medium-long range forecasting tool of Retail Estates NV. 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 Retail Estates. 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 Retail Estates

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Retail Estates NV. 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
56.8958.0059.11
Details
Intrinsic
Valuation
LowRealHigh
52.2071.5172.62
Details
Bollinger
Band Projection (param)
LowMiddleHigh
57.2160.9464.67
Details

Other Forecasting Options for Retail Estates

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

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

Retail Estates NV 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 Retail Estates' 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 Retail Estates' current price.

Retail Estates Market Strength Events

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

Retail Estates Risk Indicators

The analysis of Retail Estates' 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 Retail Estates' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting retail 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 Retail Stock

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