Neinor Homes Stock Forecast - 20 Period Moving Average

HOME Stock  EUR 15.10  0.20  1.31%   
The 20 Period Moving Average forecasted value of Neinor Homes SLU on the next trading day is expected to be 15.15 with a mean absolute deviation of 0.34 and the sum of the absolute errors of 14.13. Neinor Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Neinor Homes stock prices and determine the direction of Neinor Homes SLU's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Neinor Homes' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A commonly used 20-period moving average forecast model for Neinor Homes SLU is based on a synthetically constructed Neinor Homesdaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Neinor Homes 20 Period Moving Average Price Forecast For the 27th of November

Given 90 days horizon, the 20 Period Moving Average forecasted value of Neinor Homes SLU on the next trading day is expected to be 15.15 with a mean absolute deviation of 0.34, mean absolute percentage error of 0.17, and the sum of the absolute errors of 14.13.
Please note that although there have been many attempts to predict Neinor 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 Neinor Homes' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Neinor Homes Stock Forecast Pattern

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Neinor Homes Forecasted Value

In the context of forecasting Neinor Homes' 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. Neinor Homes' downside and upside margins for the forecasting period are 13.77 and 16.53, respectively. We have considered Neinor Homes' 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
15.10
15.15
Expected Value
16.53
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Neinor Homes stock data series using in forecasting. Note that when a statistical model is used to represent Neinor Homes 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 Criteria79.6073
BiasArithmetic mean of the errors -0.3278
MADMean absolute deviation0.3446
MAPEMean absolute percentage error0.0232
SAESum of the absolute errors14.128
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Neinor Homes SLU 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Neinor Homes

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Neinor Homes SLU. 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
13.7215.1016.48
Details
Intrinsic
Valuation
LowRealHigh
10.8712.2516.61
Details

Other Forecasting Options for Neinor Homes

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

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

Neinor Homes SLU 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 Neinor Homes' 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 Neinor Homes' current price.

Neinor Homes Market Strength Events

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

Neinor Homes Risk Indicators

The analysis of Neinor Homes' 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 Neinor Homes' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting neinor 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.

Other Information on Investing in Neinor Stock

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