City Retail Stock Forecast - Naive Prediction

NIRO Stock  IDR 135.00  1.00  0.75%   
The Naive Prediction forecasted value of City Retail Developments on the next trading day is expected to be 134.34 with a mean absolute deviation of 0.44 and the sum of the absolute errors of 26.60. City Stock Forecast is based on your current time horizon.
  
A naive forecasting model for City Retail is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of City Retail Developments 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.

City Retail Naive Prediction Price Forecast For the 26th of November

Given 90 days horizon, the Naive Prediction forecasted value of City Retail Developments on the next trading day is expected to be 134.34 with a mean absolute deviation of 0.44, mean absolute percentage error of 0.48, and the sum of the absolute errors of 26.60.
Please note that although there have been many attempts to predict City 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 City Retail's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

City Retail Stock Forecast Pattern

Backtest City RetailCity Retail Price PredictionBuy or Sell Advice 

City Retail Forecasted Value

In the context of forecasting City Retail'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. City Retail's downside and upside margins for the forecasting period are 133.68 and 135.01, respectively. We have considered City Retail'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
135.00
133.68
Downside
134.34
Expected Value
135.01
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 City Retail stock data series using in forecasting. Note that when a statistical model is used to represent City Retail 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 Criteria117.3733
BiasArithmetic mean of the errors None
MADMean absolute deviation0.436
MAPEMean absolute percentage error0.0032
SAESum of the absolute errors26.5952
This model is not at all useful as a medium-long range forecasting tool of City Retail Developments. 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 City Retail. 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 City Retail

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as City Retail Developments. 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
134.33135.00135.67
Details
Intrinsic
Valuation
LowRealHigh
109.49110.16148.50
Details
Bollinger
Band Projection (param)
LowMiddleHigh
133.72134.67135.61
Details

Other Forecasting Options for City Retail

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

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

City Retail Developments 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 City Retail'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 City Retail's current price.

City Retail Market Strength Events

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

City Retail Risk Indicators

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

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Other Information on Investing in City Stock

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